Fact
ba
.
se
S. Hrg. 108-25 - The Millennium Challenge Account: A New Way to Aid
7 Topics
Entities
Moderation
16 Speakers
Topics
Politics > State Budget and Tax
Social Issue > Welfare
Politics > Diplomacy > Summit
Economy, Business and Finance > Macro Economics > International Economic Institution
Economy, Business and Finance > Construction and Property
Politics > Local Authority
Economy, Business and Finance > Macro Economics > Economic Indicator
Entities
No entities found
Moderation
No moderation found
Speakers
Richard Lugar Richard Lugar said 1646 sentences of a total of 2749 sentences.
60%
Richard Lugar said 31313 words of a total of 51804 words.
61%
John Larson John Larson said 196 sentences of a total of 2749 sentences.
8%
John Larson said 4370 words of a total of 51804 words.
9%
Steven Radelet Steven Radelet said 156 sentences of a total of 2749 sentences.
6%
Steven Radelet said 2865 words of a total of 51804 words.
6%
Ms Berresford Ms Berresford said 108 sentences of a total of 2749 sentences.
4%
Ms Berresford said 2227 words of a total of 51804 words.
5%
Ms McClymont Ms McClymont said 101 sentences of a total of 2749 sentences.
4%
Ms McClymont said 2054 words of a total of 51804 words.
4%
Andrew Natsios Andrew Natsios said 126 sentences of a total of 2749 sentences.
5%
Andrew Natsios said 1980 words of a total of 51804 words.
4%
Charles Taylor Charles Taylor said 81 sentences of a total of 2749 sentences.
3%
Charles Taylor said 1605 words of a total of 51804 words.
4%
Joe Biden Joe Biden said 45 sentences of a total of 2749 sentences.
2%
Joe Biden said 1000 words of a total of 51804 words.
2%
Lamar Alexander Lamar Alexander said 49 sentences of a total of 2749 sentences.
2%
Lamar Alexander said 970 words of a total of 51804 words.
2%
Chuck Hagel Chuck Hagel said 75 sentences of a total of 2749 sentences.
3%
Chuck Hagel said 949 words of a total of 51804 words.
2%
Sam Brownback Sam Brownback said 49 sentences of a total of 2749 sentences.
2%
Sam Brownback said 824 words of a total of 51804 words.
2%
John Sununu John Sununu said 33 sentences of a total of 2749 sentences.
2%
John Sununu said 510 words of a total of 51804 words.
1%
Lincoln Chafee Lincoln Chafee said 22 sentences of a total of 2749 sentences.
1%
Lincoln Chafee said 385 words of a total of 51804 words.
1%
Russ Feingold Russ Feingold said 20 sentences of a total of 2749 sentences.
1%
Russ Feingold said 325 words of a total of 51804 words.
1%
Bill Nelson Bill Nelson said 11 sentences of a total of 2749 sentences.
1%
Bill Nelson said 107 words of a total of 51804 words.
1%
Senator Chaffee Senator Chaffee said 2 sentences of a total of 2749 sentences.
1%
Senator Chaffee said 11 words of a total of 51804 words.
1%
Full Transcript
Richard Lugar
This meeting of the Senate Foreign Relations Committee will come to order. Today the Foreign Relations Committee will examine President Bush's proposal for a new mechanism to deliver foreign assistance. It is called the Millennium Challenge Account, or MCA.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.077
Neutral
Moderation
Harassment > Threatening
0.1982614864
OpenAI Moderation v1 (007)
Violence
0.1354480861
OpenAI Moderation v1 (007)
Harassment
0.0116059149
OpenAI Moderation v1 (007)
Violence > Graphic
0.004352289
OpenAI Moderation v1 (007)
Sexual
0.0026731603
OpenAI Moderation v1 (007)
Hate
0.0014610636
OpenAI Moderation v1 (007)
Self-Harm
0.0007288798
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004659953
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004316507
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004213726
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.94606E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.318
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
37.5
Gunning-Fog Score
10.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
8.3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
17
Richard Lugar
President Bush's calls to establish the MCA come at a time when a reassessment of foreign assistance is badly overdue. American foreign assistance programs lack unifying objectives or coherent criteria. Too much of our foreign assistance is determined by obsolete cold war imperatives, the vestiges of our responses to past humanitarian emergencies, or domestic political inertia.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.56495
Harvard-IV (Relative)
0.1
Neutral
Harvard-IV (Absolute)
0.1
Neutral
Harvard-IV (Logit)
0.19106
VADER
-0.844
Very Negative
Moderation
Sexual
0.0232365361
OpenAI Moderation v1 (007)
Violence
0.0085903688
OpenAI Moderation v1 (007)
Harassment
0.0079571801
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0026229334
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020457215
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009217499
OpenAI Moderation v1 (007)
Hate
0.0007324545
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001935292
OpenAI Moderation v1 (007)
Self-Harm
3.27452E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3907E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3226E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.3
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
26
Richard Lugar
In my judgment, the primary goal of American foreign assistance must be to combat terrorism. And in some instances, this requires direct military and economic aid to key allies of the war on terrorism. But our foreign assistance must also be aimed at broader objectives that aid in the fight against terrorism over the long run.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.38462
Somewhat Negative
Harvard-IV (Absolute)
-0.38462
Somewhat Negative
Harvard-IV (Logit)
-0.74721
VADER
-0.974
Very Negative
Moderation
Sexual
0.0079000361
OpenAI Moderation v1 (007)
Violence
0.0073347037
OpenAI Moderation v1 (007)
Harassment
0.0036254951
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023950628
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012309896
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007411294
OpenAI Moderation v1 (007)
Hate
0.0003748078
OpenAI Moderation v1 (007)
Hate > Threatening
0.00011779
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3318E-5
OpenAI Moderation v1 (007)
Self-Harm
7.7491E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.6303E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
100
Magnitude:
0.298
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
97
Magnitude:
0.29
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
79
Magnitude:
0.235
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
54
Magnitude:
0.16
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
50
Magnitude:
0.149
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
44.4
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
18
Richard Lugar
These include strengthening democracy, building free markets, and encouraging the civil society in nations that otherwise might become havens or breeding grounds for terrorists. We must seek to encourage societies that can nurture and fulfill the aspirations of their citizens and deny terrorists the uncontrolled territory and abject poverty in which they thrive.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.382
Somewhat Positive
Moderation
Harassment
0.0217613706
OpenAI Moderation v1 (007)
Violence
0.0174803165
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029388984
OpenAI Moderation v1 (007)
Sexual
0.0021804703
OpenAI Moderation v1 (007)
Hate
0.0015542519
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008828118
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005613706
OpenAI Moderation v1 (007)
Hate > Threatening
0.000254806
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001795583
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.48916E-5
OpenAI Moderation v1 (007)
Self-Harm
2.70133E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.122
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
60
Magnitude:
0.073
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Environmental Issue > Population
Score:
57
Magnitude:
0.07
Code:
6008000
Url:
https://cv.iptc.org/newscodes/subjectcode/06008000
Wikidata_id:
Q386191
Wikidata_label:
population growth
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
25
Richard Lugar
To do this, all of us should begin to think about foreign assistance as a critical asset in the war on terrorism. In this context, an ineffective foreign aid program squanders our anti- terrorist assets just as surely as does a poorly designed war plane or an unnecessary military base or a flawed intelligence collection operation. It is up to this committee -- and ultimately every Member of Congress -- to cooperate in the construction of the most potent foreign aid strategy possible.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
-0.26316
Slightly Negative
Harvard-IV (Absolute)
-0.26316
Slightly Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.952
Very Negative
Moderation
Sexual
0.0152690409
OpenAI Moderation v1 (007)
Violence
0.0107036161
OpenAI Moderation v1 (007)
Harassment
0.0046694073
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024601899
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.001298965
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012642018
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005797429
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004567677
OpenAI Moderation v1 (007)
Hate
0.000250286
OpenAI Moderation v1 (007)
Self-Harm
0.00015211
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001252633
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
100
Magnitude:
0.169
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
87
Magnitude:
0.146
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
82
Magnitude:
0.138
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
68
Magnitude:
0.115
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
58
Magnitude:
0.097
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
32
Richard Lugar
Now, this process will require us to ask how nations develop political stability and economic momentum, and how they become good international citizens that contribute to the peace and prosperity of the world community.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.751
Very Positive
Moderation
Violence
0.0106668755
OpenAI Moderation v1 (007)
Harassment
0.0033109111
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025952877
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007927719
OpenAI Moderation v1 (007)
Sexual
0.000494492
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004654569
OpenAI Moderation v1 (007)
Hate
0.00041655
OpenAI Moderation v1 (007)
Sexual > Minors
9.53208E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0233E-5
OpenAI Moderation v1 (007)
Self-Harm
2.00223E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.22636E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.101
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
97
Magnitude:
0.098
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
10.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Richard Lugar
The Millennium Challenge Account is being established on the bold assumption that we do know some of the answers. We believe that successful societies cannot be built without good leadership, without economies based on sound market principles, and without significant investments in health and education.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.71
Very Positive
Moderation
Violence
0.0025357327
OpenAI Moderation v1 (007)
Sexual
0.0014705932
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004798914
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003203232
OpenAI Moderation v1 (007)
Harassment
0.0002179992
OpenAI Moderation v1 (007)
Hate
0.0002119363
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001325989
OpenAI Moderation v1 (007)
Sexual > Minors
9.99104E-5
OpenAI Moderation v1 (007)
Self-Harm
2.6691E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.96086E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.41E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
100
Magnitude:
0.115
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Topic:
Health
Score:
68
Magnitude:
0.079
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Topic:
Politics
Score:
53
Magnitude:
0.061
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
19
Richard Lugar
The MCA will provide aid designed to jump start rapid economic growth in low-income countries that pursue sound policies. By establishing firm criteria to measure and reward the progress of low income nations in these areas, the MCA can provide a powerful incentive to foreign governments to embrace and to sustain reform.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.927
Very Positive
Moderation
Violence > Graphic
0.0045738252
OpenAI Moderation v1 (007)
Violence
0.0044081655
OpenAI Moderation v1 (007)
Sexual
0.0025580024
OpenAI Moderation v1 (007)
Harassment
0.0005167902
OpenAI Moderation v1 (007)
Hate
0.000462394
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002166268
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001188556
OpenAI Moderation v1 (007)
Hate > Threatening
8.16994E-5
OpenAI Moderation v1 (007)
Self-Harm
3.49401E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.84901E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.46843E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.17
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
56
Magnitude:
0.095
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.9
Gunning-Fog Score
15.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
24
Richard Lugar
As we encourage nations on every continent to join us in reshaping the world, the MCA would put our money where our mouth is. The President's proposal envisions $1.3 billion for the account this year, with an increase to $5 billion by its third year.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.778
Very Positive
Moderation
Harassment
0.0312414108
OpenAI Moderation v1 (007)
Violence
0.0080384416
OpenAI Moderation v1 (007)
Hate
0.0071573988
OpenAI Moderation v1 (007)
Sexual
0.0056653858
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005079824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012520404
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003847242
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003188891
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002397378
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000146678
OpenAI Moderation v1 (007)
Self-Harm
1.99403E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
16.1
Coleman-Liau Index
9.7
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
11
Richard Lugar
The President should be commended for proposing this new and creative departure in our foreign assistance programs. He is demonstrating a strategic understanding of the broader fight against terrorism and the altruistic American desire to help others achieve the prosperity that we are fortunate to enjoy in this country.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.844
Very Positive
Moderation
Violence
0.0763393065
OpenAI Moderation v1 (007)
Sexual
0.0074395648
OpenAI Moderation v1 (007)
Violence > Graphic
0.0051590872
OpenAI Moderation v1 (007)
Harassment
0.0025316058
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000842558
OpenAI Moderation v1 (007)
Hate
0.0006594651
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006534932
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002165192
OpenAI Moderation v1 (007)
Self-Harm
3.35234E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.09295E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.06398E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.3
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Richard Lugar
As we begin our deliberations on granting the President authority to establish the MCA, I would offer the following guidelines.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.382
Somewhat Positive
Moderation
Sexual
0.0288661482
OpenAI Moderation v1 (007)
Violence
0.0094247218
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022905193
OpenAI Moderation v1 (007)
Harassment
0.0016806891
OpenAI Moderation v1 (007)
Violence > Graphic
0.001363202
OpenAI Moderation v1 (007)
Hate
0.0012493889
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006673119
OpenAI Moderation v1 (007)
Hate > Threatening
9.1238E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1115E-5
OpenAI Moderation v1 (007)
Self-Harm
3.75914E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.52049E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.8
Gunning-Fog Score
18
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Richard Lugar
First, the MCA cannot be funded at the expense of other programs. Top priorities, such as HIV/AIDS funding and food programs for the hungry, cannot take reductions to make room for MCA funding. Neither can assistance be reduced to key countries like Afghanistan, which are unlikely to qualify at this stage for MCA participation.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.511
Very Positive
Moderation
Violence
0.0225907104
OpenAI Moderation v1 (007)
Hate
0.010423908
OpenAI Moderation v1 (007)
Sexual
0.0047366084
OpenAI Moderation v1 (007)
Harassment
0.0029951045
OpenAI Moderation v1 (007)
Violence > Graphic
0.002486821
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020666184
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012868042
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009035607
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006025284
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003673008
OpenAI Moderation v1 (007)
Self-Harm
0.0002101893
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.099
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
78
Magnitude:
0.077
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Topic:
Politics > Election
Score:
57
Magnitude:
0.056
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
48.3
Gunning-Fog Score
12.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
6.1
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18
Richard Lugar
Second, an optimal division of labor must be found between MCA and the United States Agency for International Development. Failing or failed States need more attention, not less, and USAID must be given the resources to address these complex situations.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
-0.318
Somewhat Negative
Moderation
Violence
0.0255297608
OpenAI Moderation v1 (007)
Sexual
0.0106604282
OpenAI Moderation v1 (007)
Harassment
0.0098342272
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060340051
OpenAI Moderation v1 (007)
Hate
0.0058878377
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018144192
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011148123
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003869991
OpenAI Moderation v1 (007)
Self-Harm
0.0003741236
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.98765E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6742E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.08
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
68
Magnitude:
0.054
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
13
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Richard Lugar
Third, the Administrator of USAID or his representative should have a place on the board of the MCA. USAID has experience developed over decades that should be included in the expertise undergirding the MCA.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.018953823
OpenAI Moderation v1 (007)
Violence > Graphic
0.0100804027
OpenAI Moderation v1 (007)
Sexual
0.0033795506
OpenAI Moderation v1 (007)
Sexual > Minors
0.001824655
OpenAI Moderation v1 (007)
Hate
0.0014715542
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010846847
OpenAI Moderation v1 (007)
Harassment
0.0006830128
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004724095
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003852684
OpenAI Moderation v1 (007)
Self-Harm
0.0002324104
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002036254
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
42.8
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
6.4
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
10
Richard Lugar
Other central questions that we will address today include how the MCA might coordinate with other bilateral or multilateral donors, whether it will need to have representatives in the field and whether it will be useful for outside experts to serve on its board.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
0.44
Positive
Moderation
Sexual
0.007996209
OpenAI Moderation v1 (007)
Violence
0.0019610832
OpenAI Moderation v1 (007)
Harassment
0.0007259794
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005946808
OpenAI Moderation v1 (007)
Hate
0.0004684633
OpenAI Moderation v1 (007)
Violence > Graphic
0.000166273
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001384018
OpenAI Moderation v1 (007)
Self-Harm
5.51086E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.31695E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.06282E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.5598E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.7
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Richard Lugar
To examine these and many other questions, we are fortunate to have two expert panels with us today. From the administration, we will be hearing from Alan Larson, the Under Secretary of State for Economic, Business, and Agricultural Affairs; John Taylor, the Under Secretary of the Treasury for International Affairs; and Andrew Natsios, the Administrator of the Agency for International Development.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.572
Very Positive
Moderation
Violence
0.0108016589
OpenAI Moderation v1 (007)
Sexual
0.008240014
OpenAI Moderation v1 (007)
Harassment
0.0068084606
OpenAI Moderation v1 (007)
Sexual > Minors
0.006677553
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018455557
OpenAI Moderation v1 (007)
Hate
0.000451849
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004357121
OpenAI Moderation v1 (007)
Self-Harm
0.0002380707
OpenAI Moderation v1 (007)
Hate > Threatening
6.86477E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.56572E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
6.45352E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People
Score:
100
Magnitude:
0.06
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
87
Magnitude:
0.053
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.5
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
24
Richard Lugar
On the second panel, we have three distinguished citizens from the private sector: Dr. Steven Radelet, Ms. Mary McClymont, and Ms. Susan Berresford. We welcome you all and we look forward to your insights. And I call upon now in the order that I introduced you -- and first of all, Under Secretary Larson -- for your testimony.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.459
Positive
Moderation
Violence
0.012955915
OpenAI Moderation v1 (007)
Harassment
0.0069019414
OpenAI Moderation v1 (007)
Sexual
0.006793331
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052226511
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017163673
OpenAI Moderation v1 (007)
Hate
0.0011698066
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004699744
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.40974E-5
OpenAI Moderation v1 (007)
Self-Harm
1.40696E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.38842E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.6394E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > People
Score:
100
Magnitude:
0.062
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
62.9
Gunning-Fog Score
6.6
Coleman-Liau Index
11
SMOG Index
9.9
Automated Readability Index
4.7
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19
John Larson
Thank you very much, Mr. Chairman and Senator Hagel, it is a great honor to testify on behalf of the Millennium Challenge Account. I do have a statement for the record, but with your permission --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.676
Very Positive
Moderation
Violence
0.2651467454
OpenAI Moderation v1 (007)
Harassment
0.0582984474
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0091089452
OpenAI Moderation v1 (007)
Violence > Graphic
0.0084737148
OpenAI Moderation v1 (007)
Hate
0.0048858295
OpenAI Moderation v1 (007)
Sexual
0.0012006716
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005316862
OpenAI Moderation v1 (007)
Sexual > Minors
9.54243E-5
OpenAI Moderation v1 (007)
Self-Harm
1.20076E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8369E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0586E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.056
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
64.5
Gunning-Fog Score
7
Coleman-Liau Index
10.1
SMOG Index
9.9
Automated Readability Index
5.1
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13
Richard Lugar
It will be published in full and I would say this to all the witnesses, your statements will be published in full, and we would ask you to summarize as appropriate.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0
Neutral
Moderation
Violence
0.0088762434
OpenAI Moderation v1 (007)
Sexual
0.0049182065
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032585092
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010374388
OpenAI Moderation v1 (007)
Harassment
0.0008140663
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001792929
OpenAI Moderation v1 (007)
Hate
5.80036E-5
OpenAI Moderation v1 (007)
Self-Harm
3.5446E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.05986E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.67224E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.0399E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.074
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
60.8
Gunning-Fog Score
17.6
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
John Larson
Perfect. Mr. Chairman, last March, President Bush caught the world's attention when he called for "a new compact for global development" that would link greater contributions from developed countries to greater responsibility from developing countries.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.827
Very Positive
Moderation
Sexual
0.0192856271
OpenAI Moderation v1 (007)
Harassment
0.0022457443
OpenAI Moderation v1 (007)
Violence
0.0022189102
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008957968
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008386011
OpenAI Moderation v1 (007)
Sexual > Minors
0.000138685
OpenAI Moderation v1 (007)
Self-Harm
3.12144E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.36699E-5
OpenAI Moderation v1 (007)
Hate
7.2892E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2157E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.5041E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.101
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Human Interest > Plant
Score:
78
Magnitude:
0.079
Code:
8008000
Url:
https://cv.iptc.org/newscodes/subjectcode/08008000
Wikidata_id:
Q756
Wikidata_label:
plant
Source:
IPTC Subject
Topic:
Politics
Score:
60
Magnitude:
0.061
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
54
Magnitude:
0.055
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
45.1
Gunning-Fog Score
11.5
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
John Larson
It was not just the amount of money that attracted interest. It was also the fact that the Millennium Challenge Account brought together lessons about development learned over the last 50 years.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.727
Very Positive
Moderation
Violence
0.0137414623
OpenAI Moderation v1 (007)
Sexual
0.0052980664
OpenAI Moderation v1 (007)
Self-Harm
0.0007591679
OpenAI Moderation v1 (007)
Harassment
0.000577848
OpenAI Moderation v1 (007)
Violence > Graphic
0.000455494
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004498012
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002664452
OpenAI Moderation v1 (007)
Hate
0.0001624198
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.57139E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.86878E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7778E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest
Score:
100
Magnitude:
0.051
Code:
8000000
Url:
https://cv.iptc.org/newscodes/subjectcode/08000000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
55.8
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
9
John Larson
The MCA targets countries that govern justly, invest in the health and education of their own citizens, and encourage economic freedom. By focusing on those countries whose own policies encourage growth, MCA assistance will deliver much greater economic development. And for those countries that do not initially qualify, it provides a strong incentive to adopt growth-enabling policies.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.13549
VADER
0.97
Very Positive
Moderation
Violence
0.057037198
OpenAI Moderation v1 (007)
Sexual
0.0404265622
OpenAI Moderation v1 (007)
Harassment
0.0316603779
OpenAI Moderation v1 (007)
Hate
0.0042336465
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041758227
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024543502
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007781543
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003168278
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6702E-6
OpenAI Moderation v1 (007)
Self-Harm
3.4968E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7042E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Healthcare Policy
Score:
100
Magnitude:
0.289
Code:
7013000
Url:
https://cv.iptc.org/newscodes/subjectcode/07013000
Wikidata_id:
Q1519812
Wikidata_label:
health policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
90
Magnitude:
0.26
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Health > Government Health Care
Score:
53
Magnitude:
0.152
Code:
7011000
Url:
https://cv.iptc.org/newscodes/subjectcode/07011000
Wikidata_id:
Q1519138
Wikidata_label:
national health insurance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.7
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
24
John Larson
The MCA proposes a true partnership, one in which participating, developing countries with the full involvement of their own citizens will set forth their own priorities and propose their own projects. And the MCA insists on results.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.422
Positive
Moderation
Sexual
0.0315012236
OpenAI Moderation v1 (007)
Violence
0.0305927038
OpenAI Moderation v1 (007)
Harassment
0.0087266926
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0034494329
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026301397
OpenAI Moderation v1 (007)
Hate
0.0022158716
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010449056
OpenAI Moderation v1 (007)
Hate > Threatening
9.94483E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.19735E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.27191E-5
OpenAI Moderation v1 (007)
Self-Harm
9.8278E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
46.3
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12
John Larson
We will have business-like contracts with each partner, and we will invest our resources in well-implemented programs that have clear objectives and built-in performance benchmarks.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.382
Somewhat Positive
Moderation
Violence
0.0720773416
OpenAI Moderation v1 (007)
Sexual
0.0619011
OpenAI Moderation v1 (007)
Harassment
0.005702248
OpenAI Moderation v1 (007)
Hate
0.0039560306
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017906355
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017861807
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008779371
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002308048
OpenAI Moderation v1 (007)
Self-Harm
9.3589E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.3814E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.2813E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.5
Gunning-Fog Score
16.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
John Larson
To realize the President's vision, the administration's development team, including the three of us at this table, engaged in an intensive, year-long process of policy formulation. We received thoughtful suggestions from many, including NGOs and the business community.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.557
Very Positive
Moderation
Sexual
0.0525835378
OpenAI Moderation v1 (007)
Violence
0.0211931605
OpenAI Moderation v1 (007)
Harassment
0.0087084874
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033017259
OpenAI Moderation v1 (007)
Hate
0.001872714
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014161579
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003864853
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002560562
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001514232
OpenAI Moderation v1 (007)
Self-Harm
8.44455E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.8152E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.068
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
85
Magnitude:
0.057
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.5
Gunning-Fog Score
18.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
17
John Larson
Throughout, President Bush and his Cabinet gave unprecedented direct and sustained attention to the MCA and to development issues more generally. After a year of deliberation, we come to you with a number of conclusions reflected in the legislation before you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.077
Neutral
Moderation
Sexual
0.070414826
OpenAI Moderation v1 (007)
Violence
0.0035074259
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027411188
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010193826
OpenAI Moderation v1 (007)
Harassment
0.0004145642
OpenAI Moderation v1 (007)
Hate
0.0001994918
OpenAI Moderation v1 (007)
Self-Harm
0.0001004278
OpenAI Moderation v1 (007)
Harassment > Threatening
4.5308E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.84149E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.34289E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.45188E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.135
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Laws
Score:
74
Magnitude:
0.1
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.3
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
John Larson
First, the MCA should focus on promoting economic growth and developmental outcomes in countries with good policies.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.791
Very Positive
Moderation
Violence
0.1328987768
OpenAI Moderation v1 (007)
Sexual
0.0469588471
OpenAI Moderation v1 (007)
Hate
0.0249555189
OpenAI Moderation v1 (007)
Sexual > Minors
0.0230402569
OpenAI Moderation v1 (007)
Violence > Graphic
0.0147216822
OpenAI Moderation v1 (007)
Harassment
0.0127868872
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013669136
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010081899
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005607296
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003337186
OpenAI Moderation v1 (007)
Self-Harm
0.0001461263
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.063
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.3
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
John Larson
Second, the MCA must complement, not replace other assistance. In fact, the President seeks to expand other assistance programs that provide famine relief, that combat HIV/AIDS, or that help strategic partners. The MCA will not come at the expense of USAID.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.691
Very Positive
Moderation
Violence
0.0239976362
OpenAI Moderation v1 (007)
Violence > Graphic
0.0130444867
OpenAI Moderation v1 (007)
Sexual
0.0123187187
OpenAI Moderation v1 (007)
Harassment
0.0096420663
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044621971
OpenAI Moderation v1 (007)
Hate
0.0017594617
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011185994
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001903555
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001346947
OpenAI Moderation v1 (007)
Self-Harm
0.0001233273
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001127752
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.114
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
94
Magnitude:
0.108
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
52
Magnitude:
0.059
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
57.7
Gunning-Fog Score
10.4
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
8.9
Dale-Chall Readability Score
7.1
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
John Larson
Third, the MCA must have a strict and transparent selection process. We have chosen 16 publicly available indicators to help in forming decisions about which countries will participate. Secretary Powell and the administration are committed to keeping the MCA firmly focused on development.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.751
Very Positive
Moderation
Harassment
0.5075951107
OpenAI Moderation v1 (007)
Hate
0.0480600167
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0233532963
OpenAI Moderation v1 (007)
Violence
0.0154847949
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0035532285
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034565655
OpenAI Moderation v1 (007)
Sexual
0.0026837428
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0014091029
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009520073
OpenAI Moderation v1 (007)
Self-Harm
0.0005195833
OpenAI Moderation v1 (007)
Sexual > Minors
4.09566E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29
Gunning-Fog Score
16.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.1
Sprache Readability Score
4
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
20
John Larson
Fourth, the MCA should be administered by a separate corporation. Combining all of the new elements -- selective qualification, partnership, giving developing countries the lead, a business approach that measures results from the beginning to the end -- all of this requires a new approach. The legislation therefore creates a lean Millennium Challenge Corporation headed by a chief executive officer nominated by the President and confirmed by the Senate.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.586
Very Positive
Moderation
Harassment
0.0551258097
OpenAI Moderation v1 (007)
Violence
0.0191711326
OpenAI Moderation v1 (007)
Hate
0.0069108326
OpenAI Moderation v1 (007)
Violence > Graphic
0.006307142
OpenAI Moderation v1 (007)
Sexual
0.0054381238
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003271905
OpenAI Moderation v1 (007)
Sexual > Minors
0.000664247
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004024702
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003392207
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003116069
OpenAI Moderation v1 (007)
Self-Harm
5.28203E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Corporations
Score:
100
Magnitude:
0.103
Code:
4016046
Url:
https://cv.iptc.org/newscodes/subjectcode/04016046
Source:
IPTC Subject
Topic:
Politics > Parliament
Score:
92
Magnitude:
0.095
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Laws
Score:
80
Magnitude:
0.082
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
62
Magnitude:
0.064
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
56
Magnitude:
0.057
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
54
Magnitude:
0.055
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.6
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
30
John Larson
The CEO would report to a board of directors, chaired by the Secretary of State.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0035273235
OpenAI Moderation v1 (007)
Sexual
0.0029767889
OpenAI Moderation v1 (007)
Violence
0.002640373
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015785046
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003846278
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003462412
OpenAI Moderation v1 (007)
Hate
0.000299139
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001675653
OpenAI Moderation v1 (007)
Self-Harm
9.14238E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.12905E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.30046E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
67.5
Gunning-Fog Score
8.7
Coleman-Liau Index
9.3
SMOG Index
11.3
Automated Readability Index
6.2
Dale-Chall Readability Score
5
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
John Larson
Fifth, the MCA needs a clean, flexible, legislative mandate. If it is to respond to developing country priorities, the MCA cannot be earmarked. To attract the best and the brightest personnel in public, private, and non-profit sectors, the MCA must have special personnel authority. To be lean and efficient, it must have the ability to contract broadly for services.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.97
Very Positive
Moderation
Sexual
0.0067209046
OpenAI Moderation v1 (007)
Harassment
0.00358744
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023043003
OpenAI Moderation v1 (007)
Violence
0.0022843
OpenAI Moderation v1 (007)
Hate
0.000924204
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002741747
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000241743
OpenAI Moderation v1 (007)
Hate > Threatening
2.14559E-5
OpenAI Moderation v1 (007)
Self-Harm
4.8029E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.109E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.502E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.3
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.3
Dale-Chall Readability Score
7.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
25
John Larson
Sixth, the MCA must be accountable and coherent with other development programs. As chairman of the board of directors, Secretary Powell ensures -- intends to ensure that the MCA is accountable to the President and to the Congress, and is well coordinated with the activities of USAID, which he also oversees.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.572
Very Positive
Moderation
Violence
0.1170141506
OpenAI Moderation v1 (007)
Sexual
0.0487658806
OpenAI Moderation v1 (007)
Harassment
0.0280693319
OpenAI Moderation v1 (007)
Sexual > Minors
0.0170609521
OpenAI Moderation v1 (007)
Hate
0.0134895614
OpenAI Moderation v1 (007)
Violence > Graphic
0.0129984212
OpenAI Moderation v1 (007)
Hate > Threatening
0.0023572504
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009615927
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008094408
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007832738
OpenAI Moderation v1 (007)
Self-Harm
0.0002731642
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.3
Gunning-Fog Score
16.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
18
John Larson
Mr. Chairman, I would like to close on a personal note. My involvement with developing countries began 32 years ago as a school teacher in a self-help school in Kenya. Since then, as a diplomat, first in Sierra Leone, then in Zaire, then in Jamaica, I have run small assistance programs and promoted development initiatives like the Carribean Basin Initiative.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.778
Very Positive
Moderation
Violence
0.0273207523
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036640413
OpenAI Moderation v1 (007)
Sexual
0.0022763692
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012269637
OpenAI Moderation v1 (007)
Harassment
0.0009800038
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005425658
OpenAI Moderation v1 (007)
Hate
0.0003985259
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002744659
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.97238E-5
OpenAI Moderation v1 (007)
Self-Harm
4.91465E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.71398E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.099
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Politics > Diplomacy
Score:
94
Magnitude:
0.093
Code:
11002000
Url:
https://cv.iptc.org/newscodes/subjectcode/11002000
Wikidata_id:
Q1889
Wikidata_label:
diplomacy
Source:
IPTC Subject
Topic:
Education > Teaching and Learning > Students
Score:
73
Magnitude:
0.072
Code:
5010001
Url:
https://cv.iptc.org/newscodes/subjectcode/05010001
Wikidata_id:
Q48282
Wikidata_label:
student
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Business (General) > Institution
Score:
69
Magnitude:
0.069
Code:
4018001
Url:
https://cv.iptc.org/newscodes/subjectcode/04018001
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Education > School > Elementary Schools
Score:
56
Magnitude:
0.055
Code:
5005001
Url:
https://cv.iptc.org/newscodes/subjectcode/05005001
Wikidata_id:
Q9842
Wikidata_label:
primary school
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
56.8
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
John Larson
On trips to every corner of the world, I have had an opportunity to observe a wide variety of developmental strategies. I am convinced that the proposal before this committee today is the most thoughtful and important American development initiative to be advanced in the last 32 years.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.887
Very Positive
Moderation
Violence
0.0174518544
OpenAI Moderation v1 (007)
Sexual
0.0063303043
OpenAI Moderation v1 (007)
Harassment
0.0026898229
OpenAI Moderation v1 (007)
Hate
0.0014673024
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009181853
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009060821
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007288507
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005194461
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.4005E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.14409E-5
OpenAI Moderation v1 (007)
Self-Harm
6.08457E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Science (General)
Score:
100
Magnitude:
0.057
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Lifestyle and Leisure > Tourism
Score:
89
Magnitude:
0.051
Code:
10006000
Url:
https://cv.iptc.org/newscodes/subjectcode/10006000
Wikidata_id:
Q49389
Wikidata_label:
tourism
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.4
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
John Larson
It is built on American values, embracing both our compassion and also our insistence on practical results. It comes at a time when our Nation is engaged in a war against global terrorism. Yet even as we fight to defeat terrorism, it is also important, in the words of President Bush, to fight for the values that make life worth living -- education, health, and economic opportunity.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.80235
VADER
-0.772
Very Negative
Moderation
Violence
0.0677266798
OpenAI Moderation v1 (007)
Harassment
0.007786561
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038237537
OpenAI Moderation v1 (007)
Sexual
0.0034701399
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016162252
OpenAI Moderation v1 (007)
Hate
0.0011848956
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010304077
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003063908
OpenAI Moderation v1 (007)
Self-Harm
2.45746E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.43866E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7559E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Crime > Terrorism
Score:
100
Magnitude:
0.341
Code:
2001010
Url:
https://cv.iptc.org/newscodes/subjectcode/02001010
Wikidata_id:
Q7283
Wikidata_label:
terrorism
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > Act of Terror
Score:
97
Magnitude:
0.331
Code:
16001000
Url:
https://cv.iptc.org/newscodes/subjectcode/16001000
Wikidata_id:
Q2223653
Wikidata_label:
terrorist attack
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
85
Magnitude:
0.289
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Religion and Belief > Values
Score:
74
Magnitude:
0.252
Code:
12006000
Url:
https://cv.iptc.org/newscodes/subjectcode/12006000
Wikidata_id:
Q831695
Wikidata_label:
value system
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
68
Magnitude:
0.232
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
65
Magnitude:
0.222
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Market and Exchange > Securities
Score:
54
Magnitude:
0.185
Code:
4009003
Url:
https://cv.iptc.org/newscodes/subjectcode/04009003
Wikidata_id:
Q169489
Wikidata_label:
security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
14.9
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
21
John Larson
I urge the committee to give the Millennium Challenge Act of 2003 its full support. Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.671
Very Positive
Moderation
Sexual
0.0089740839
OpenAI Moderation v1 (007)
Violence
0.0032751421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015617909
OpenAI Moderation v1 (007)
Sexual > Minors
0.000786992
OpenAI Moderation v1 (007)
Harassment
0.0003585779
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001873404
OpenAI Moderation v1 (007)
Hate
0.0001218439
OpenAI Moderation v1 (007)
Hate > Threatening
4.49341E-5
OpenAI Moderation v1 (007)
Self-Harm
3.71856E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.65202E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7477E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.6
Flesch-Kincaid Ease
80.2
Gunning-Fog Score
4.6
Coleman-Liau Index
9.6
SMOG Index
7.9
Automated Readability Index
2.1
Dale-Chall Readability Score
6.1
Sprache Readability Score
2
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Richard Lugar
Thank you very much, Secretary Larson.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0166151382
OpenAI Moderation v1 (007)
Sexual
0.0068589718
OpenAI Moderation v1 (007)
Hate
0.0044767567
OpenAI Moderation v1 (007)
Harassment
0.0026612563
OpenAI Moderation v1 (007)
Violence > Graphic
0.000673633
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002148781
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002141706
OpenAI Moderation v1 (007)
Hate > Threatening
2.17485E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.55552E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.11829E-5
OpenAI Moderation v1 (007)
Self-Harm
9.2628E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
45.6
Gunning-Fog Score
2.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
5.6
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Note
[The prepared statement of Mr. Larson follows:] Prepared Statement of Hon. Alan Larson, Under Secretary of State for Economic, Business and Agriculture Affairs Mr. Chairman, members of the committee, I am pleased to appear before you to testify in favor of the establishment of the Millennium Challenge Account (MCA).
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.778
Very Positive
Moderation
Sexual
0.0711830391
OpenAI Moderation v1 (007)
Violence
0.0457640592
OpenAI Moderation v1 (007)
Harassment
0.0103160637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041872827
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034566314
OpenAI Moderation v1 (007)
Violence > Graphic
0.002617933
OpenAI Moderation v1 (007)
Hate > Threatening
0.0018507411
OpenAI Moderation v1 (007)
Hate
0.0017989778
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.82422E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.97712E-5
OpenAI Moderation v1 (007)
Self-Harm
2.66121E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.053
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
37.5
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
7.8
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
23
Richard Lugar
Last March, President Bush described an exciting new approach to development assistance. He called for "a new compact for global development" linking "greater contributions from developed nations" to "greater responsibility from developing nations." The United States would lead by example, the President pledged, and increase core development assistance by 50 percent over the next three years -- an increase of $5 billion per year by the third year. A Millennium Challenge Account would channel this new assistance only to "nations that govern justly, invest in their people, and encourage economic freedom." why a millennium challenge account?
Sentiment
Loughran McDonald (Relative)
0.42857
Positive
Loughran McDonald (Absolute)
0.42857
Positive
Loughran McDonald (Logit)
0.78846
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.75786
VADER
0.971
Very Positive
Moderation
Violence
0.0951591821
OpenAI Moderation v1 (007)
Sexual
0.0104342602
OpenAI Moderation v1 (007)
Harassment
0.009556242
OpenAI Moderation v1 (007)
Violence > Graphic
0.0076879813
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023782521
OpenAI Moderation v1 (007)
Hate
0.0022162138
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006500634
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003368223
OpenAI Moderation v1 (007)
Self-Harm
4.83509E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.00574E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.00237E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.146
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
90
Magnitude:
0.132
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.8
Gunning-Fog Score
14.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
36
Richard Lugar
Mr. Chairman, this new foreign assistance initiative, the Millennium Challenge Account, brings together in a new and innovative way the lessons we have learned about development over the past 50 years. It affirms that economic growth is key to development and targets assistance at those countries that have adopted the governance, health, education and economic policies that enable growth. In this way, the MCA increases the odds of spurring successful economic development and, at the same time, encourages more countries to adopt growth-enabling policies. It recognizes that development must primarily come from within, not conferred from the outside. No one can develop a country except its own people. The MCA thus proposes a true partnership in which the developing country with full participation of its citizens proposes its own development priorities and plans. It insists on results. Funds will go to those countries that have the best proposals -- with clear objectives and benchmarks -- and those that best implement their programs.
Sentiment
Loughran McDonald (Relative)
0.42857
Positive
Loughran McDonald (Absolute)
0.42857
Positive
Loughran McDonald (Logit)
0.78846
Harvard-IV (Relative)
0.7037
Very Positive
Harvard-IV (Absolute)
0.7037
Very Positive
Harvard-IV (Logit)
1.65292
VADER
0.981
Very Positive
Moderation
Violence
0.0155765811
OpenAI Moderation v1 (007)
Sexual
0.0142674486
OpenAI Moderation v1 (007)
Violence > Graphic
0.0131281035
OpenAI Moderation v1 (007)
Harassment
0.0036120571
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022251486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008051156
OpenAI Moderation v1 (007)
Hate
0.0003761563
OpenAI Moderation v1 (007)
Self-Harm
8.73616E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.91948E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.36497E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.3324E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.467
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Health > Healthcare Policy
Score:
70
Magnitude:
0.327
Code:
7013000
Url:
https://cv.iptc.org/newscodes/subjectcode/07013000
Wikidata_id:
Q1519812
Wikidata_label:
health policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
41.5
Gunning-Fog Score
16.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
56
Sprache Difficult Word Count
51
Richard Lugar
The MCA builds on the promise of the global economy and the spread of democratic institutions. It rests on the greater recognition by developing countries that their policies and governance are the most critical keys to development. The MCA is not the sole answer. it is part of a broad array of Administration efforts to spur development that stretch from the Doha Development Agenda to initiatives on HIV/ AIDs, famine and education. Along with these other efforts, the MCA supports our overall foreign policy, including the struggle against terrorism, by encouraging free, democratic and prosperous societies where people have a stake in the future and value partnership with the United S States.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.23077
Slightly Positive
Harvard-IV (Absolute)
0.23077
Slightly Positive
Harvard-IV (Logit)
0.43532
VADER
0.897
Very Positive
Moderation
Violence
0.0039792474
OpenAI Moderation v1 (007)
Harassment
0.0039062495
OpenAI Moderation v1 (007)
Hate
0.0034428405
OpenAI Moderation v1 (007)
Sexual
0.0026169393
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012072576
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003074073
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002652347
OpenAI Moderation v1 (007)
Hate > Threatening
1.24222E-5
OpenAI Moderation v1 (007)
Self-Harm
3.4778E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.918E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.29E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics
Score:
100
Magnitude:
0.219
Code:
4008000
Url:
https://cv.iptc.org/newscodes/subjectcode/04008000
Wikidata_id:
Q39680
Wikidata_label:
macroeconomics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.8
Gunning-Fog Score
16.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
41
Richard Lugar
The Administration's vision of the MCA, as reflected in the legislation sent forward to the Congress on February 3, is profoundly positive. It affirms the ability of the poorest people in the poorest countries to improve their lives; it embraces human dignity by stressing mutually responsible and accountable partnership; and it upholds the key insight that thoughtful and participatory political and economic governance are fundamental to lasting progress. developing the mca
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.89474
Very Positive
Harvard-IV (Absolute)
0.89474
Very Positive
Harvard-IV (Logit)
2.51231
VADER
0.866
Very Positive
Moderation
Sexual
0.0394998817
OpenAI Moderation v1 (007)
Violence > Graphic
0.012370784
OpenAI Moderation v1 (007)
Violence
0.0120638135
OpenAI Moderation v1 (007)
Harassment
0.0012252251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005703359
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004156398
OpenAI Moderation v1 (007)
Self-Harm
0.0001394093
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.45341E-5
OpenAI Moderation v1 (007)
Hate
2.78424E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.9364E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.52E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.06
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
14.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
34
Richard Lugar
This past year our challenge has been to implement the vision that the President put forward last March in Monterrey. In so doing, we have engaged in an intense, thoughtful and collegial interagency process involving the Departments of State and Treasury, the U.S. Agency for International Development, the Office of Management and Budget, the National Security Council, and a number of other agencies. We have also benefited greatly from the strong interest and suggestions of many, including from Members of Congress and staff. The public, especially the NGO and business communities, have been vital advisors and sounding boards. We have kept other donor nations and potential MCA beneficiary countries apprised, as both have welcomed the MCA and been keen observers of our progress. Throughout this process, the involvement of the President has been central. President Bush has given an unprecedented level of direct and sustained commitment to the MCA and to development issues more generally.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.64706
Very Positive
Harvard-IV (Absolute)
0.64706
Very Positive
Harvard-IV (Logit)
1.42139
VADER
0.984
Very Positive
Moderation
Violence
0.0144759237
OpenAI Moderation v1 (007)
Harassment
0.0080272883
OpenAI Moderation v1 (007)
Sexual
0.0022698205
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017437615
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012739759
OpenAI Moderation v1 (007)
Hate
0.0007559175
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001929568
OpenAI Moderation v1 (007)
Hate > Threatening
2.69392E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.41023E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.2345E-6
OpenAI Moderation v1 (007)
Self-Harm
5.5936E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > State Budget and Tax
Score:
100
Magnitude:
0.657
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.6
Gunning-Fog Score
12.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
61
Sprache Difficult Word Count
64
Richard Lugar
After months of discussion and deliberation, the Administration came to a number of conclusions: The MCA should focus on development objectives; It must complement, not replace current assistance; To ensure we select only those countries that can best use assistance, the MCA requires the integrity of objective eligibility criteria; To combine all the new elements -- a selective program, partnership that gives developing nations themselves the lead role in guiding their development, and a program where results are integrated and measured from beginning to end -- we decided that the MCA could not just be grafted onto existing assistance programs or structures; We also concluded that to realize the promise of the MCA without a huge increase in bureaucracy, we will have to organize and run the MCA in a whole new way, requiring a clean, flexible and creative legislative mandate. legislative overview
Sentiment
Loughran McDonald (Relative)
0.25
Slightly Positive
Loughran McDonald (Absolute)
0.25
Slightly Positive
Loughran McDonald (Logit)
0.45199
Harvard-IV (Relative)
0.92
Very Positive
Harvard-IV (Absolute)
0.92
Very Positive
Harvard-IV (Logit)
2.79321
VADER
0.95
Very Positive
Moderation
Hate
0.0068523361
OpenAI Moderation v1 (007)
Violence
0.0055022076
OpenAI Moderation v1 (007)
Harassment
0.0052640931
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008019148
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000399334
OpenAI Moderation v1 (007)
Sexual
0.0001232641
OpenAI Moderation v1 (007)
Hate > Threatening
6.1691E-6
OpenAI Moderation v1 (007)
Self-Harm
3.2945E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7888E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.1518E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.498E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.055
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
57
Sprache Difficult Word Count
49
Richard Lugar
Mr. Chairman, to make this vision a reality, the legislation before you would create a new organization -- the Millennium Challenge Corporation (MCC) -- with one key goal: "to reduce poverty through promoting sustained economic growth in developing countries committed to implementing good policies." A Chief Executive Officer nominated by the President and confirmed by the Senate would run the MCC. A cabinet- level board, chaired by the Secretary of State, would provide policy guidance and oversee operations. This will ensure policy consistency and coordination between the MCA and other foreign assistance, which by law the Secretary of State supervises.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.41176
Positive
Harvard-IV (Absolute)
0.41176
Positive
Harvard-IV (Logit)
0.82098
VADER
0.869
Very Positive
Moderation
Harassment
0.0415822666
OpenAI Moderation v1 (007)
Violence
0.0095706338
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0055020235
OpenAI Moderation v1 (007)
Hate
0.0023096178
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010296571
OpenAI Moderation v1 (007)
Sexual
0.0005354512
OpenAI Moderation v1 (007)
Sexual > Minors
8.89056E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.04702E-5
OpenAI Moderation v1 (007)
Self-Harm
1.03349E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9525E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2377E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.201
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
98
Magnitude:
0.197
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.2
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
43
Sprache Difficult Word Count
45
Richard Lugar
Selection: Only poor countries will be eligible for the MCA. In FY 2004, countries eligible to borrow from the International Development Association (IDA), and which have per capita incomes below $1,435, (the historical IDA cutoff) will be considered. As funding expands, we would also gradually expand the countries eligible for participation in the MCA. In 2005, all countries with incomes below $1,435 will be considered. In 2006, all countries with incomes up to $2,975 (the current World Bank cutoff for lower middle income countries) will be eligible.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
-0.382
Somewhat Negative
Moderation
Violence
0.0097465352
OpenAI Moderation v1 (007)
Harassment
0.0067647248
OpenAI Moderation v1 (007)
Sexual
0.003278827
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015055371
OpenAI Moderation v1 (007)
Hate
0.0011485798
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004393942
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001866139
OpenAI Moderation v1 (007)
Hate > Threatening
4.31597E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.85226E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.99037E-5
OpenAI Moderation v1 (007)
Self-Harm
1.47735E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
49.4
Gunning-Fog Score
11.6
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
21
Richard Lugar
At the heart of the MCA is a challenge to countries to create and maintain the policy and institutional environment that underpins lasting development and makes assistance truly effective. We have therefore based MCA qualification on these criteria and have chosen 16 indicators, falling into three baskets: ruling justly, investing in people and encouraging economic freedom. In order to participate in the MCA, countries would be expected to do better than the median on half the indicators in each category. We will give special attention to the corruption indicator, since corruption has such a corrosive effect on democratic institutions and developmental achievement.
Sentiment
Loughran McDonald (Relative)
0.25
Slightly Positive
Loughran McDonald (Absolute)
0.25
Slightly Positive
Loughran McDonald (Logit)
0.45199
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.41369
VADER
0.976
Very Positive
Moderation
Harassment
0.0271091267
OpenAI Moderation v1 (007)
Violence
0.0092838221
OpenAI Moderation v1 (007)
Sexual
0.0060652794
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043747801
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0039968978
OpenAI Moderation v1 (007)
Hate
0.0013109643
OpenAI Moderation v1 (007)
Sexual > Minors
9.48843E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.66509E-5
OpenAI Moderation v1 (007)
Self-Harm
5.7779E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7313E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.935E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.374
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
38
Richard Lugar
The sources for these indicators, and the data for evaluating them, will be publicly available. By giving countries access to the information they need to qualify, the MCA helps to give poor countries incentive and direction to develop the policies required. The indicators come from independent and analytically rigorous sources, including the multilateral development banks, academic policy institutes, international financial institutions and non-profit organizations. When countries create the policies to meet these indicators, they will create the conditions friendly to sustained economic growth.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
2.10413
VADER
0.883
Very Positive
Moderation
Violence
0.0191044193
OpenAI Moderation v1 (007)
Sexual
0.0099225086
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042024523
OpenAI Moderation v1 (007)
Harassment
0.0035695
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006385652
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003245531
OpenAI Moderation v1 (007)
Hate
0.000218131
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001919772
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001284747
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.93377E-5
OpenAI Moderation v1 (007)
Self-Harm
1.85648E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.594
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
59
Magnitude:
0.352
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > International Economic Institution
Score:
51
Magnitude:
0.302
Code:
4008010
Url:
https://cv.iptc.org/newscodes/subjectcode/04008010
Wikidata_id:
Q1345691
Wikidata_label:
international financial institution
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
10.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
39
Sprache Difficult Word Count
35
Richard Lugar
We know that indicators cannot capture all critical aspects cf a country's performance in these areas and may not be fully up to date. The legislation addresses this by providing for discretion by the Board of Directors to exercise final judgment as to which countries will qualify. Secretary Powell and this administration are absolutely committed to keeping the MCA focused on development, with the basis for qualifying reflected in the President's three categories. We have other tools, including development assistance and economic support funds, to address other important national goals.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.834
Very Positive
Moderation
Violence
0.0246538926
OpenAI Moderation v1 (007)
Sexual
0.0088126348
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036577087
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011311601
OpenAI Moderation v1 (007)
Harassment
0.0009898343
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005522964
OpenAI Moderation v1 (007)
Hate
8.20625E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.48994E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.30968E-5
OpenAI Moderation v1 (007)
Self-Harm
1.54182E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.11915E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.137
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
95
Magnitude:
0.13
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
73
Magnitude:
0.1
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
71
Magnitude:
0.097
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Labor > Employer
Score:
62
Magnitude:
0.085
Code:
9015000
Url:
https://cv.iptc.org/newscodes/subjectcode/09015000
Wikidata_id:
Q3053337
Wikidata_label:
employer
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
38
Sprache Difficult Word Count
42
Richard Lugar
Implementation: To implement the partnership between the MCA and MCA countries, the MCA will use time-limited, business-like contracts that represent a commitment between the United States and the developing country to meet agreed performance benchmarks. Developing countries will set their own priorities and identify their own greatest hurdles to development. They will do so by engaging their citizens, businesses and government in an open debate, which will result in a proposal for MCA funding. This proposal will include objectives, a plan and timetable for achieving them, benchmarks for assessing progress and how results will be sustained at the end of the contract, delineation of the responsibilities of the MCA and the MCA country, the role of civil society, business and other donors, and a plan for ensuring financial accountability or funds used. The MCA will review the proposal, consulting with the MCA country. The Board will approve all contracts.
Sentiment
Loughran McDonald (Relative)
-0.25
Slightly Negative
Loughran McDonald (Absolute)
-0.25
Slightly Negative
Loughran McDonald (Logit)
-0.45199
Harvard-IV (Relative)
0.78947
Very Positive
Harvard-IV (Absolute)
0.78947
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.939
Very Positive
Moderation
Violence
0.0065154425
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0065023705
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032502754
OpenAI Moderation v1 (007)
Sexual
0.0028504564
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012850641
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007633932
OpenAI Moderation v1 (007)
Harassment
0.0007001374
OpenAI Moderation v1 (007)
Self-Harm
0.0003562842
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002048124
OpenAI Moderation v1 (007)
Hate
0.0001178171
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.88771E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
100
Magnitude:
0.103
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Government Contract
Score:
57
Magnitude:
0.058
Code:
4016020
Url:
https://cv.iptc.org/newscodes/subjectcode/04016020
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
55
Magnitude:
0.057
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Government
Score:
54
Magnitude:
0.056
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.7
Gunning-Fog Score
17.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
58
Sprache Difficult Word Count
50
Richard Lugar
To be most effective in promoting development, the MCA will need flexible authorities with regard to funding, personnel, procurement and contracting. The MCA will fund programs to promote economic growth. We envision a focus on areas such as agricultural development, education, enterprise and private sector development, governance, health, and trade and investment capacity building, but to be able to respond to MCA country proposals, the MCA should not be restricted to specific areas of funding.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.78
Very Positive
Moderation
Violence
0.0063923188
OpenAI Moderation v1 (007)
Sexual
0.004440637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019367784
OpenAI Moderation v1 (007)
Harassment
0.001876647
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015500644
OpenAI Moderation v1 (007)
Hate
0.0008304214
OpenAI Moderation v1 (007)
Sexual > Minors
0.000763608
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001458877
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.50476E-5
OpenAI Moderation v1 (007)
Self-Harm
1.91065E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.4319E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.071
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
38
Sprache Difficult Word Count
34
Richard Lugar
The Millennium Challenge Corporation will draw its staff from the best and brightest in the public, private and non-profit sectors. We envision a relatively small staff, which would serve for time-limited terms. The staff would rely heavily on contracted services for monitoring, evaluation and many services. The MCA will need the ability to contract for services with the private sector, with government agencies, and with international organizations and should be able to procure globally.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.16667
Leans Negative
Harvard-IV (Absolute)
-0.16667
Leans Negative
Harvard-IV (Logit)
-0.31015
VADER
0.896
Very Positive
Moderation
Violence
0.0027343465
OpenAI Moderation v1 (007)
Sexual
0.0019703362
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011911815
OpenAI Moderation v1 (007)
Harassment
0.0006120583
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005697618
OpenAI Moderation v1 (007)
Hate
0.0002385851
OpenAI Moderation v1 (007)
Sexual > Minors
9.3411E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.78327E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8986E-6
OpenAI Moderation v1 (007)
Self-Harm
1.1884E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.993E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employee
Score:
100
Magnitude:
0.1
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Politics > International Organization
Score:
63
Magnitude:
0.063
Code:
11028000
Url:
https://cv.iptc.org/newscodes/subjectcode/11028000
Wikidata_id:
Q484652
Wikidata_label:
international organization
Source:
IPTC Subject
Topic:
Politics > Government
Score:
55
Magnitude:
0.054
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
31
Richard Lugar
Funding: The initial funding request for the MCA is $1.3 billion. This is the first stage of a ramp-up that will increase to $5 billion by 2006. That is a 50 percent increase in current core U.S. development assistance, and represents an unprecedented effort to reduce poverty. We believe $1.3 billion will provide sufficient resources for a strong start. We deliberately chose to ramp up requests over time to ensure funds would match but not exceed our ability to use them well.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.634
Very Positive
Moderation
Sexual
0.0030433193
OpenAI Moderation v1 (007)
Violence
0.0019706518
OpenAI Moderation v1 (007)
Sexual > Minors
0.001145742
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010113321
OpenAI Moderation v1 (007)
Hate
0.0005686946
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003401608
OpenAI Moderation v1 (007)
Harassment
0.0003300553
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.31358E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.41497E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.21723E-5
OpenAI Moderation v1 (007)
Self-Harm
4.21862E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
11
Coleman-Liau Index
10.3
SMOG Index
11
Automated Readability Index
5.5
Dale-Chall Readability Score
6.4
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
28
Richard Lugar
Operation: Mr. Chairman, we know that the keys to success of any initiative as innovative as the Millennium Challenge Account lie not only in ensuring that it has a well thought out mandate and the needed authorities. It must also operate well. We have sought to give the MCA a unique identity so that it will work well with other agencies that deliver development assistance. We have kept its staff small, so that it will rely on other agencies in the field and in Washington. We have placed MCA officials in the field under Chief of Mission authority to ensure that they coordinate well with other Embassy elements, including the AID mission. And to ensure accountability, the Secretary of State, who oversees all of our foreign assistance programs, will serve as Chairman of the Board.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.58333
Very Positive
Harvard-IV (Absolute)
0.58333
Very Positive
Harvard-IV (Logit)
1.26567
VADER
0.955
Very Positive
Moderation
Violence
0.0075010852
OpenAI Moderation v1 (007)
Sexual
0.0023870296
OpenAI Moderation v1 (007)
Harassment
0.0017441456
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008182515
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005760278
OpenAI Moderation v1 (007)
Hate
0.0005031535
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001388276
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.68479E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2468E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.10726E-5
OpenAI Moderation v1 (007)
Self-Harm
1.11517E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.107
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Police
Score:
86
Magnitude:
0.092
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Politics > Government > Heads of State
Score:
70
Magnitude:
0.075
Code:
11006006
Url:
https://cv.iptc.org/newscodes/subjectcode/11006006
Wikidata_id:
Q48352
Wikidata_label:
head of state
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
66
Magnitude:
0.07
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
54
Magnitude:
0.058
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor > Employer
Score:
52
Magnitude:
0.055
Code:
9015000
Url:
https://cv.iptc.org/newscodes/subjectcode/09015000
Wikidata_id:
Q3053337
Wikidata_label:
employer
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
48.8
Gunning-Fog Score
13.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
44
Sprache Difficult Word Count
42
Richard Lugar
USAID will continue to be central to U.S. foreign assistance. The Administration is working hard to bring forward new development initiatives on agricultural development, famine, HIV/AIDS, rural poverty, trade capacity building and humanitarian relief. Under the committed leadership of Administrator Natsios, USAID will not only have a growing role in these new development assistance initiatives, but it will also be a key partner of the MCA and the implementing agency for many MCA programs. In fact, USAID programs will work in partnership with the MCA to provide technical assistance and other funding for those countries that are "near qualifiers," so that they can make the policy changes necessary to qualify for the MCA. what the mca can achieve
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.48808
VADER
0.038
Neutral
Moderation
Violence
0.0086286767
OpenAI Moderation v1 (007)
Harassment
0.0083666448
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074711956
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027707067
OpenAI Moderation v1 (007)
Hate
0.0021343507
OpenAI Moderation v1 (007)
Sexual
0.0010680088
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000106055
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001057287
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.52599E-5
OpenAI Moderation v1 (007)
Self-Harm
1.87114E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.00989E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > International (Foreign) Trade
Score:
100
Magnitude:
0.117
Code:
4008011
Url:
https://cv.iptc.org/newscodes/subjectcode/04008011
Wikidata_id:
Q178803
Wikidata_label:
international trade
Source:
IPTC Subject
Topic:
Health > Disease
Score:
64
Magnitude:
0.075
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
55
Magnitude:
0.065
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
52
Magnitude:
0.061
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.3
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
48
Sprache Difficult Word Count
40
Richard Lugar
Mr. Chairman, in conclusion, the Millennium Challenge Account is an innovative effort to spark international development that deserves support. While many of the elements of the MCA are not new, this will be the first attempt to integrate them into a concept that challenges countries to adopt policies that enable development, that challenges aid recipients to take the lead in a new form of partnership, and that challenges us and MCA countries alike to adopt a business-like, results-oriented approach. The MCA's goal and mission are clear: to raise countries out of poverty by promoting sustained and broadly shared economic growth.
Sentiment
Loughran McDonald (Relative)
0.11111
Leans Positive
Loughran McDonald (Absolute)
0.11111
Leans Positive
Loughran McDonald (Logit)
0.20067
Harvard-IV (Relative)
0.36842
Somewhat Positive
Harvard-IV (Absolute)
0.36842
Somewhat Positive
Harvard-IV (Logit)
0.73089
VADER
0.942
Very Positive
Moderation
Harassment
0.0656456628
OpenAI Moderation v1 (007)
Violence > Graphic
0.0115638584
OpenAI Moderation v1 (007)
Violence
0.0028069104
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0023330454
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002181918
OpenAI Moderation v1 (007)
Sexual
0.0019294523
OpenAI Moderation v1 (007)
Hate
0.0016705706
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000544879
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002674996
OpenAI Moderation v1 (007)
Self-Harm
9.00936E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.16507E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.116
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Foreign Aid
Score:
94
Magnitude:
0.11
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
93
Magnitude:
0.108
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
56
Magnitude:
0.065
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.3
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
42
Sprache Difficult Word Count
41
Richard Lugar
The Millennium Challenge Account is a key element of the overall U.S. effort to address poverty and development, which must also include existing programs of AID and others to provide humanitarian assistance and famine relief, fight HIV/AIDs, build trade capacity, and provide for economic stability and defense of key partners. We are convinced that the MCA is in our national interest. Greater prosperity in the developing world will alleviate the poverty that breeds discontent and instability. It will expand markets for American exports. It will reduce the spread of disease and pestilence. The Millennium Challenge Account will promote our own security and well-being even as it brings a better life to millions around the globe.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.66648
VADER
0.908
Very Positive
Moderation
Violence > Graphic
0.0026293395
OpenAI Moderation v1 (007)
Harassment
0.0022305238
OpenAI Moderation v1 (007)
Hate
0.0004461191
OpenAI Moderation v1 (007)
Violence
0.0002511388
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002109904
OpenAI Moderation v1 (007)
Sexual > Minors
7.12878E-5
OpenAI Moderation v1 (007)
Sexual
1.77378E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4973E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.0802E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2613E-6
OpenAI Moderation v1 (007)
Self-Harm
1.9133E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.282
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Communicable Diseases
Score:
95
Magnitude:
0.267
Code:
7001001
Url:
https://cv.iptc.org/newscodes/subjectcode/07001001
Wikidata_id:
Q18123741
Wikidata_label:
infectious disease
Source:
IPTC Subject
Topic:
Social Issue > Poverty
Score:
90
Magnitude:
0.254
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
59
Magnitude:
0.167
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
51
Magnitude:
0.145
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
40.6
Gunning-Fog Score
13
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
43
Sprache Difficult Word Count
48
Richard Lugar
Mr. Chairman, members of the committee, I request your speedy and favorable consideration of the "Millennium Challenge Act of 2003."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.527
Very Positive
Moderation
Harassment
1.5158480033
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0161452481
OpenAI Moderation v1 (007)
Sexual
0.0152664797
OpenAI Moderation v1 (007)
Sexual > Minors
0.011224534
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0039520903
OpenAI Moderation v1 (007)
Violence
0.0038921866
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019714507
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000949953
OpenAI Moderation v1 (007)
Hate
0.0009285125
OpenAI Moderation v1 (007)
Self-Harm
0.000106304
OpenAI Moderation v1 (007)
Hate > Threatening
8.0821E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
44.4
Gunning-Fog Score
10
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
7.8
Dale-Chall Readability Score
7.6
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Richard Lugar
Under Secretary Taylor. STATEMENT OF HON. JOHN B. TAYLOR, UNDER SECRETARY OF THE TREASURY FOR INTERNATIONAL AFFAIRS, DEPARTMENT OF THE TREASURY, WASHINGTON, DC
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.621
Very Positive
Moderation
Harassment
0.0111079316
OpenAI Moderation v1 (007)
Violence
0.0080842423
OpenAI Moderation v1 (007)
Violence > Graphic
0.002517517
OpenAI Moderation v1 (007)
Hate
0.0024843988
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020974116
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001546879
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006924281
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004124233
OpenAI Moderation v1 (007)
Self-Harm
0.0001554463
OpenAI Moderation v1 (007)
Sexual
5.14583E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.10932E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
28.1
Gunning-Fog Score
2.3
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
8.1
Dale-Chall Readability Score
9.9
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
11
Charles Taylor
Thank you very much, Mr. Chairman and Senator Hagel for inviting me to testify on this very important and innovative initiative of President Bush's.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.79
Very Positive
Moderation
Harassment
0.0053658954
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053201256
OpenAI Moderation v1 (007)
Sexual
0.0015297675
OpenAI Moderation v1 (007)
Violence
0.0007122604
OpenAI Moderation v1 (007)
Hate
0.0006725508
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005246747
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004790053
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.92952E-5
OpenAI Moderation v1 (007)
Self-Harm
4.64441E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.58433E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.27692E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.057
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
43.1
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
7.2
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Charles Taylor
The Millennium Challenge Account is designed, as you indicated, Mr. Chairman, to reduce poverty and to raise income per capita around the world. And it is designed to do that by increasing economic growth and in particular by increasing productivity growth.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.296
Slightly Positive
Moderation
Violence
0.007570329
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028438611
OpenAI Moderation v1 (007)
Harassment
0.0016301428
OpenAI Moderation v1 (007)
Hate
0.0012064645
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001407017
OpenAI Moderation v1 (007)
Sexual
0.0001032422
OpenAI Moderation v1 (007)
Hate > Threatening
5.44511E-5
OpenAI Moderation v1 (007)
Self-Harm
2.28872E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.11274E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2306E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.857E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.155
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Social Issue > Poverty
Score:
96
Magnitude:
0.149
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
73
Magnitude:
0.113
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
42.3
Gunning-Fog Score
13.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
7.6
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Charles Taylor
Productivity growth represents the ability for people to produce more goods and services. That ability to produce more is the source of rising incomes and reduction in poverty wherever it has occurred.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.44
Positive
Moderation
Harassment
0.0028377546
OpenAI Moderation v1 (007)
Hate
0.0026129173
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017036507
OpenAI Moderation v1 (007)
Violence
0.0011207007
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010667303
OpenAI Moderation v1 (007)
Sexual
0.000474244
OpenAI Moderation v1 (007)
Harassment > Threatening
9.2634E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.25321E-5
OpenAI Moderation v1 (007)
Self-Harm
9.3411E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.1835E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5203E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.05
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.3
Gunning-Fog Score
15.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
6.7
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Charles Taylor
In countries where productivity growth has been strong, those countries have begun to catch up, even some have caught up to the wealthier countries. In countries where productivity growth is low or nonexistent, those are still the countries that are behind, in which there is still immense poverty. So the idea here, we think, is that by raising growth, we can take a real stab at poverty reduction.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.42857
Negative
Harvard-IV (Absolute)
-0.42857
Negative
Harvard-IV (Logit)
-0.78846
VADER
0.202
Slightly Positive
Moderation
Violence
0.0076408251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0068636764
OpenAI Moderation v1 (007)
Sexual
0.0039930841
OpenAI Moderation v1 (007)
Harassment
0.0027491429
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024868497
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008146418
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003423911
OpenAI Moderation v1 (007)
Hate
0.00030772
OpenAI Moderation v1 (007)
Self-Harm
9.68806E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.64243E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.89682E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.186
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
59.4
Gunning-Fog Score
14.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
10
Charles Taylor
The Millennium Challenge Account endeavors to raise economic growth by focusing on the policies that encourage economic growth, that bring down the impediments to investment flows, to technology flows that can raise productivity.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.832
Very Positive
Moderation
Harassment
0.001686683
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009046048
OpenAI Moderation v1 (007)
Sexual
0.0006634519
OpenAI Moderation v1 (007)
Violence
0.0003898432
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003627009
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003489188
OpenAI Moderation v1 (007)
Hate
0.0002777224
OpenAI Moderation v1 (007)
Self-Harm
0.0001999634
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001464276
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001002636
OpenAI Moderation v1 (007)
Hate > Threatening
5.0389E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.231
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
63
Magnitude:
0.146
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14
Charles Taylor
And as President Bush has stated, there are three types of policies that do this -- policies that represent governing justly, policies that represent investing in people, and policies that represent encouraging economic freedom.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.823
Very Positive
Moderation
Violence
0.002843213
OpenAI Moderation v1 (007)
Sexual
0.0023139763
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011618572
OpenAI Moderation v1 (007)
Harassment
0.0006774869
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002832121
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002481659
OpenAI Moderation v1 (007)
Hate
8.63188E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.68607E-5
OpenAI Moderation v1 (007)
Self-Harm
1.31326E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.17693E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.137E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.436
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
55
Magnitude:
0.239
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
14.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
12
Charles Taylor
It is by encouraging such policies that the Millennium Challenge Account will raise economic growth.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.743
Very Positive
Moderation
Violence
0.0210945393
OpenAI Moderation v1 (007)
Violence > Graphic
0.0094178846
OpenAI Moderation v1 (007)
Harassment
0.0069860507
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012376356
OpenAI Moderation v1 (007)
Hate
0.0010927499
OpenAI Moderation v1 (007)
Sexual
0.0004296719
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001709769
OpenAI Moderation v1 (007)
Hate > Threatening
7.30523E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.63977E-5
OpenAI Moderation v1 (007)
Self-Harm
1.45936E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.43865E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.269
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.7
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Charles Taylor
The second part of the Millennium Challenge Account, as Under Secretary Larson has emphasized, is an insistence on measuring results, measuring the impact of the assistance as best as we possibly can.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.671
Very Positive
Moderation
Violence
0.0060080125
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00453469
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011249314
OpenAI Moderation v1 (007)
Harassment
0.0010606975
OpenAI Moderation v1 (007)
Sexual
0.001042831
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005663688
OpenAI Moderation v1 (007)
Self-Harm
0.0003361023
OpenAI Moderation v1 (007)
Hate
0.0002683374
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002452997
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002372862
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.6288E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.7
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12
Charles Taylor
And, of course, the third part of it is to actually increase the amount of assistance, as you have indicated, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.318
Somewhat Positive
Moderation
Sexual
0.0248442957
OpenAI Moderation v1 (007)
Violence
0.0039322742
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036190009
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014374482
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005333006
OpenAI Moderation v1 (007)
Harassment
0.0004773116
OpenAI Moderation v1 (007)
Self-Harm
8.79029E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.49052E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.91457E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.74589E-5
OpenAI Moderation v1 (007)
Hate
5.68236E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
68.8
Gunning-Fog Score
9.9
Coleman-Liau Index
9.9
SMOG Index
10.3
Automated Readability Index
4.6
Dale-Chall Readability Score
4.9
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Charles Taylor
In my remarks here, I would like to focus on the way in which we are implementing the part of the program and the account that focuses on the policies that raise economic growth.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.625
Very Positive
Moderation
Sexual
0.0521933485
OpenAI Moderation v1 (007)
Harassment
0.0110593246
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028673845
OpenAI Moderation v1 (007)
Violence
0.002159052
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010110052
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006723488
OpenAI Moderation v1 (007)
Self-Harm
0.0001655747
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.24325E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.76796E-5
OpenAI Moderation v1 (007)
Hate
2.05432E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.3203E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.114
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.9
Gunning-Fog Score
18.3
Coleman-Liau Index
9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Charles Taylor
As Under Secretary Larson indicated, during the last year, there has been an extensive effort inter-agency in the U.S. Government, consultations with the Congress, consultations with other groups to develop a method to measure good economic performance and the policies that will raise growth. And on the basis of that -- those consultations we have selected 16 indicators of policies that will raise economic growth.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.796
Very Positive
Moderation
Sexual
0.0104478793
OpenAI Moderation v1 (007)
Violence
0.0077084922
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048382863
OpenAI Moderation v1 (007)
Sexual > Minors
0.001010793
OpenAI Moderation v1 (007)
Harassment
0.0002925519
OpenAI Moderation v1 (007)
Self-Harm
6.16282E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
5.12458E-5
OpenAI Moderation v1 (007)
Hate
4.00683E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6003E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.4052E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8159E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.452
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
98
Magnitude:
0.441
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
42.7
Gunning-Fog Score
15.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
20
Charles Taylor
In looking for these, we have looked at explicitly policies that we think correlate well with higher growth. We have looked at indicators that cover a large number of countries. We have looked for indicators that are widely available and for which there is transparency. And we have looked for indicators that are objective and sound as best that we can.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.848
Very Positive
Moderation
Harassment
0.1914031687
OpenAI Moderation v1 (007)
Violence
0.0735846988
OpenAI Moderation v1 (007)
Hate
0.0325126661
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0196926674
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035415545
OpenAI Moderation v1 (007)
Sexual
0.0006766301
OpenAI Moderation v1 (007)
Self-Harm
0.0006684271
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002483948
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001950312
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001934781
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.20095E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.061
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
63.8
Gunning-Fog Score
12
Coleman-Liau Index
12
SMOG Index
11.8
Automated Readability Index
8.5
Dale-Chall Readability Score
5.2
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
12
Charles Taylor
These indicators, which I will just briefly review, are not set in stone. We think they are good -- very good indicators. But as the Millennium Challenge Account develops, there may be changes in the indicators themselves.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.748
Very Positive
Moderation
Violence
0.0221646391
OpenAI Moderation v1 (007)
Sexual
0.0173630033
OpenAI Moderation v1 (007)
Harassment
0.0051547595
OpenAI Moderation v1 (007)
Hate
0.0039650764
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006068396
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005891168
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003314578
OpenAI Moderation v1 (007)
Hate > Threatening
3.02073E-5
OpenAI Moderation v1 (007)
Self-Harm
8.1663E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.9754E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1855E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Tennis
Score:
100
Magnitude:
0.05
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
60.7
Gunning-Fog Score
9.2
Coleman-Liau Index
12
SMOG Index
10.6
Automated Readability Index
7.9
Dale-Chall Readability Score
4.1
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Charles Taylor
But just to review briefly, the 16 indicators cover governing justly, investing in people, and encouraging economic freedom. There are a total of six in the first category of governing justly. Two of them have been developed by Freedom House and have a long history. One is based on civil liberties, the other is based on political rights.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.83321
VADER
0.944
Very Positive
Moderation
Harassment
0.3475187579
OpenAI Moderation v1 (007)
Hate
0.0263575581
OpenAI Moderation v1 (007)
Violence
0.0097785785
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0076689881
OpenAI Moderation v1 (007)
Sexual
0.0007298856
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003300264
OpenAI Moderation v1 (007)
Hate > Threatening
3.91227E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.88406E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.74377E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.4643E-5
OpenAI Moderation v1 (007)
Self-Harm
7.4848E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.121
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
56
Magnitude:
0.068
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
54
Magnitude:
0.066
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
50.6
Gunning-Fog Score
13.4
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Charles Taylor
Four of the other indicators in the governing justly category have been developed by the World Bank Institute, and they cover issues such as the rule of law, measuring corruption, which is extraordinarily important from the point of view of encouraging economic growth, combating corruption.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.778
Very Positive
Moderation
Harassment
0.2046820475
OpenAI Moderation v1 (007)
Hate
0.0334708457
OpenAI Moderation v1 (007)
Violence
0.0049776918
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015636493
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010962623
OpenAI Moderation v1 (007)
Sexual
0.0010819242
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002266204
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001031824
OpenAI Moderation v1 (007)
Hate > Threatening
3.03885E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.87367E-5
OpenAI Moderation v1 (007)
Self-Harm
3.3851E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.111
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Corporate Crime > Corruption
Score:
91
Magnitude:
0.101
Code:
2012006
Url:
https://cv.iptc.org/newscodes/subjectcode/02012006
Wikidata_id:
Q366
Wikidata_label:
corruption
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
61
Magnitude:
0.068
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
59
Magnitude:
0.066
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
5.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Charles Taylor
There are four indices that we have focused on in the investing in people category. Two relate to health and two relate to education. For the education part, we look at the amount that a country devotes as a share of GDP toward education.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.751
Very Positive
Moderation
Harassment
0.1599589945
OpenAI Moderation v1 (007)
Hate
0.0387354055
OpenAI Moderation v1 (007)
Sexual
0.0041296706
OpenAI Moderation v1 (007)
Violence
0.0036749592
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013022631
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000680657
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006037018
OpenAI Moderation v1 (007)
Hate > Threatening
3.24489E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.01811E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.401E-6
OpenAI Moderation v1 (007)
Self-Harm
4.0546E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
100
Magnitude:
0.27
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
59.3
Gunning-Fog Score
12.2
Coleman-Liau Index
9.7
SMOG Index
12
Automated Readability Index
6.3
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
11
Charles Taylor
That is, of course, not the only indicator of good investing in people and education. Another measure is the completion rate for young children in school, what is the completion for -- a rate for them as they finish school.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.44
Positive
Moderation
Violence
0.0147160128
OpenAI Moderation v1 (007)
Hate
0.0100521247
OpenAI Moderation v1 (007)
Sexual
0.0031211435
OpenAI Moderation v1 (007)
Hate > Threatening
0.0030816569
OpenAI Moderation v1 (007)
Harassment
0.0019806414
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015665852
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007938334
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007936002
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.19851E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.73731E-5
OpenAI Moderation v1 (007)
Self-Harm
4.4351E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.257
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Education
Score:
54
Magnitude:
0.138
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
14
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Charles Taylor
With respect to health, again, a measure of the spending as a share of GDP on health. But since spending is not a sole measure of commitment by a country, we also want to look at the effectiveness as measured by the immunization rates with respect to certain important diseases.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.922
Very Positive
Moderation
Sexual
0.0128040789
OpenAI Moderation v1 (007)
Violence
0.0088022382
OpenAI Moderation v1 (007)
Hate
0.0015007206
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014528715
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009036366
OpenAI Moderation v1 (007)
Harassment
0.0003459366
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001456422
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001439336
OpenAI Moderation v1 (007)
Self-Harm
1.62168E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.8734E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.0131E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.171
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health
Score:
78
Magnitude:
0.134
Code:
7000000
Url:
https://cv.iptc.org/newscodes/subjectcode/07000000
Wikidata_id:
Q12147
Wikidata_label:
health
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
14
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13
Charles Taylor
With respect to encouraging economic freedom, there are a total of six indices, such as openness to trade, an index developed by the Heritage Foundation; an index of how long it takes to startup a business. That is a commitment to policies that we think are essential for economic growth.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.954
Very Positive
Moderation
Violence
0.0448958832
OpenAI Moderation v1 (007)
Harassment
0.0139479831
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0055866702
OpenAI Moderation v1 (007)
Violence > Graphic
0.0044441658
OpenAI Moderation v1 (007)
Hate
0.0027563146
OpenAI Moderation v1 (007)
Sexual
0.00155095
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013318755
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008221201
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003424751
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001483554
OpenAI Moderation v1 (007)
Self-Harm
9.30508E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.781
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
78
Magnitude:
0.61
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
58
Magnitude:
0.45
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.7
Gunning-Fog Score
17.2
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Charles Taylor
We have a measure of good macroeconomic policies, keeping inflation low and stable, and keeping the budget deficit in line.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.077
Neutral
Moderation
Violence
0.031886113
OpenAI Moderation v1 (007)
Harassment
0.0072885538
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038586149
OpenAI Moderation v1 (007)
Hate
0.0023211614
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009070132
OpenAI Moderation v1 (007)
Sexual
0.0004276418
OpenAI Moderation v1 (007)
Hate > Threatening
0.000102721
OpenAI Moderation v1 (007)
Sexual > Minors
4.06608E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.1039E-6
OpenAI Moderation v1 (007)
Self-Harm
3.3428E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2178E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics
Score:
100
Magnitude:
0.137
Code:
4008000
Url:
https://cv.iptc.org/newscodes/subjectcode/04008000
Wikidata_id:
Q39680
Wikidata_label:
macroeconomics
Source:
IPTC Subject
Topic:
Politics > State Budget and Tax
Score:
97
Magnitude:
0.133
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Inflation and Deflation
Score:
93
Magnitude:
0.127
Code:
4008016
Url:
https://cv.iptc.org/newscodes/subjectcode/04008016
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Government Debt
Score:
58
Magnitude:
0.079
Code:
4008008
Url:
https://cv.iptc.org/newscodes/subjectcode/04008008
Wikidata_id:
Q3024789
Wikidata_label:
government debt
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.3
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Charles Taylor
So based on these 16 indicators, we think we have found a reasonably objective way and a transparent way to measure policies that the countries are taking. Now, when these data are used, there are going to be gaps occasionally in them. They are not going to be perfect.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.572
Very Positive
Moderation
Violence
0.0438796182
OpenAI Moderation v1 (007)
Harassment
0.0147281418
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047697431
OpenAI Moderation v1 (007)
Sexual
0.0044070643
OpenAI Moderation v1 (007)
Hate
0.0042653934
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041784635
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0019778781
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010584987
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007489687
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005247037
OpenAI Moderation v1 (007)
Self-Harm
5.8485E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.067
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
67.7
Gunning-Fog Score
11.4
Coleman-Liau Index
9.8
SMOG Index
11.3
Automated Readability Index
7.2
Dale-Chall Readability Score
4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13
Charles Taylor
So the Millennium Challenge Corporation, when they use these data, will have to exercise some judgment in coming to conclusions of which countries are succeeding. What we have suggested in this is that countries have to be above the median in half of the indices in each category. That allows for some flexibility and for some judgment. But it is a rigorous objective way to apply the indices.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.624
Very Positive
Moderation
Harassment
0.0020260579
OpenAI Moderation v1 (007)
Violence
0.001724104
OpenAI Moderation v1 (007)
Sexual
0.0008366887
OpenAI Moderation v1 (007)
Hate
0.0005450225
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004427124
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004082503
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002769253
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001038083
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.93624E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.75851E-5
OpenAI Moderation v1 (007)
Self-Harm
1.677E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.069
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
54
Gunning-Fog Score
13.3
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18
Charles Taylor
I think the most important thing about the indices is they are very transparent. They can be obtained from Web sites. People can do their own calculations to see how countries stand up. And perhaps most important, the countries themselves can see how they stand up.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.481
Positive
Moderation
Violence
0.0610729971
OpenAI Moderation v1 (007)
Harassment
0.0111116176
OpenAI Moderation v1 (007)
Sexual
0.0075625008
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046306508
OpenAI Moderation v1 (007)
Hate
0.0020092237
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001621216
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001525247
OpenAI Moderation v1 (007)
Self-Harm
8.67297E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.42203E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.26952E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5645E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Internet
Score:
100
Magnitude:
0.136
Code:
1027000
Url:
https://cv.iptc.org/newscodes/subjectcode/01027000
Wikidata_id:
Q1153191
Wikidata_label:
online newspaper
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
75.6
Gunning-Fog Score
8.9
Coleman-Liau Index
11.7
SMOG Index
9.7
Automated Readability Index
6.3
Dale-Chall Readability Score
2.6
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Charles Taylor
I want to just mention briefly the other part of the Millennium Challenge Account and Corporation which is so important, and that is the emphasis on measuring results.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.153
Leans Positive
Moderation
Violence
0.0475673791
OpenAI Moderation v1 (007)
Harassment
0.0117734373
OpenAI Moderation v1 (007)
Sexual
0.0053930489
OpenAI Moderation v1 (007)
Violence > Graphic
0.005293612
OpenAI Moderation v1 (007)
Hate
0.0032423224
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013721443
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002802048
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002143341
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001284962
OpenAI Moderation v1 (007)
Self-Harm
0.0001041761
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.14281E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.4
Gunning-Fog Score
15.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Charles Taylor
We expect that every contract will have outcomes that specify what is supposed to be accomplished in each country and each project. There will be specific baseline data of where things are at the start so that you can see what the improvements are.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.637
Very Positive
Moderation
Violence
0.0430872664
OpenAI Moderation v1 (007)
Violence > Graphic
0.0227493219
OpenAI Moderation v1 (007)
Harassment
0.0053418837
OpenAI Moderation v1 (007)
Sexual
0.0025972484
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0021875871
OpenAI Moderation v1 (007)
Hate
0.0017437549
OpenAI Moderation v1 (007)
Self-Harm
0.001429041
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012508373
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010451009
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004597575
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004189396
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
59.5
Gunning-Fog Score
15.2
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11
Charles Taylor
And we would like the projects to be structured in a way such that it can be stepped up or changed or cut back depending on how progress is made so we can actually make adjustments if the goals are not being achieved. So by measuring results by insisting on performance and by actually increasing the amount of funding, we feel that the President's initiative can be more effective than any in the past in achieving the goals of raising economic growth and reducing poverty.
Sentiment
Loughran McDonald (Relative)
0.66667
Very Positive
Loughran McDonald (Absolute)
0.66667
Very Positive
Loughran McDonald (Logit)
1.29928
Harvard-IV (Relative)
0.625
Very Positive
Harvard-IV (Absolute)
0.625
Very Positive
Harvard-IV (Logit)
1.34993
VADER
0.706
Very Positive
Moderation
Violence
0.0144292469
OpenAI Moderation v1 (007)
Sexual
0.005056943
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028922743
OpenAI Moderation v1 (007)
Harassment
0.0015990787
OpenAI Moderation v1 (007)
Hate
0.001431694
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005980927
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004401499
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002655617
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.15755E-5
OpenAI Moderation v1 (007)
Self-Harm
6.04432E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.19911E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.138
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
59
Magnitude:
0.082
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Social Issue > Poverty
Score:
55
Magnitude:
0.076
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.3
Gunning-Fog Score
19
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
27
Charles Taylor
We feel the Millennium Challenge Account represents our country's greatest opportunity to transform the rhetoric of measurement and the rhetoric of development effectiveness into an operational action plan and we urge your favorable consideration of the Millennium Challenge Account Act of 2003. Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.22378
VADER
0.922
Very Positive
Moderation
Violence
0.0107510401
OpenAI Moderation v1 (007)
Harassment
0.0083531399
OpenAI Moderation v1 (007)
Sexual
0.0055362969
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0018113229
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016233806
OpenAI Moderation v1 (007)
Hate
0.0014622248
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0008382133
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007807798
OpenAI Moderation v1 (007)
Self-Harm
0.0004877955
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004584776
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004259998
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.9
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
19
Richard Lugar
Well, thank you very much, Secretary Taylor.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.557
Very Positive
Moderation
Violence
0.010288124
OpenAI Moderation v1 (007)
Harassment
0.0079712372
OpenAI Moderation v1 (007)
Sexual
0.002300607
OpenAI Moderation v1 (007)
Hate
0.0003481491
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002217735
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001671342
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001129989
OpenAI Moderation v1 (007)
Hate > Threatening
1.01789E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.078E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.949E-7
OpenAI Moderation v1 (007)
Self-Harm
2.501E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.4
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
2.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.6
Dale-Chall Readability Score
4.9
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Note
[The prepared statement of Mr. Taylor follows:] Prepared Statement of Hon. John B. Taylor, Under Secretary of the Treasury for International Affairs, Department of the Treasury Chairman Lugar, Senator Biden, Members of the Committee, thank you for the opportunity to testify today on the Millennium Challenge Account (MCA). My statement will focus on the economic rationale behind the MCA and how it fits well with the Administration's approach to development.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
0.881
Very Positive
Moderation
Violence
0.2133078407
OpenAI Moderation v1 (007)
Harassment
0.1259336597
OpenAI Moderation v1 (007)
Hate
0.0355300203
OpenAI Moderation v1 (007)
Harassment > Threatening
0.013650491
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052495703
OpenAI Moderation v1 (007)
Sexual
0.0040528434
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007469841
OpenAI Moderation v1 (007)
Self-Harm
0.000432542
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004293246
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.3688E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.30341E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.074
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31
Gunning-Fog Score
9.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
8
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
29
Richard Lugar
Today there are more than one billion people living on less than $1 a day and nearly three billion living on less than $2 a day. In addition to the tragedy of those living in extreme poverty are those whose lives are claimed by ailments virtually unseen in the U.S. Last year alone 3 million people died for lack of immunization, 1 million died from malaria, 3 million died from water-related diseases, and 2 million died from exposure to stove smoke inside their own homes. In addition, HIV/AIDS has ravaged the populations of developing nations, killing 3 million people in 2302 alone.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.71429
Very Negative
Harvard-IV (Absolute)
-0.71429
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
-0.986
Very Negative
Moderation
Harassment
0.1196063939
OpenAI Moderation v1 (007)
Violence
0.040630906
OpenAI Moderation v1 (007)
Violence > Graphic
0.0179433351
OpenAI Moderation v1 (007)
Hate
0.0080175952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064840235
OpenAI Moderation v1 (007)
Sexual
0.0014635237
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006241389
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001145985
OpenAI Moderation v1 (007)
Sexual > Minors
5.92629E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.6907E-5
OpenAI Moderation v1 (007)
Self-Harm
1.94866E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.518
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Disaster and Accident
Score:
56
Magnitude:
0.288
Code:
3000000
Url:
https://cv.iptc.org/newscodes/subjectcode/03000000
Wikidata_id:
Q12890393
Wikidata_label:
incident
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
57.4
Gunning-Fog Score
15.6
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
29
Richard Lugar
The United States is helping in many ways to combat these problems. The MCA is part of the Administration's overall development strategy, as Administrator Natsios and Under Secretary Larson describe in their testimony. The MCA is designed specifically to catalyze the policy reforms that are the foundation of economic growth and poverty reduction. development assistance and productivity growth
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.202
Slightly Positive
Moderation
Violence
0.0133397116
OpenAI Moderation v1 (007)
Harassment
0.0080599566
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028478536
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023929741
OpenAI Moderation v1 (007)
Hate
0.0023301351
OpenAI Moderation v1 (007)
Sexual > Minors
0.001702173
OpenAI Moderation v1 (007)
Sexual
0.0011894674
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003169082
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001850374
OpenAI Moderation v1 (007)
Hate > Threatening
9.86628E-5
OpenAI Moderation v1 (007)
Self-Harm
6.42781E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.158
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.1
Gunning-Fog Score
15.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
27
Richard Lugar
Sustainable poverty reduction can only be achieved via economic growth, which is primarily determined by productivity growth. Productivity is the amount of goods and services that a worker produces per unit of time with the skills and tools available. If you want to reduce the number of countries with low per capita incomes, then you have no choice but to increase productivity in those countries. And the higher the rate of productivity growth, the faster poverty will decline. Simply put, the ticket out of poverty is higher productivity jobs.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.64663
VADER
-0.502
Very Negative
Moderation
Violence > Graphic
0.0044704771
OpenAI Moderation v1 (007)
Violence
0.0019737401
OpenAI Moderation v1 (007)
Harassment
0.0009557707
OpenAI Moderation v1 (007)
Hate
0.0005481224
OpenAI Moderation v1 (007)
Sexual
0.0004062133
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002334041
OpenAI Moderation v1 (007)
Self-Harm
0.0001098102
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.73268E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.89662E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.78428E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
1.21941E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.25
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
85
Magnitude:
0.213
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
52
Magnitude:
0.129
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
41.4
Gunning-Fog Score
14.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
30
Richard Lugar
Productivity depends on two things: capital per worker and the level of technology. If there are no impediments to the flow and accumulation of capital and technology, then countries that are behind in productivity should have a higher productivity growth rate. They should catch up, and we have seen many countries catching up over the years -- such as South Korea, Chile, and Botswana. However, many of the poorest nations still have had low and stagnant productivity and income, and they are not catching up. More and more evidence has been accumulating that this is due to significant impediments to investment and the adoption of technology.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
-0.527
Very Negative
Moderation
Violence
0.0063931235
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019331375
OpenAI Moderation v1 (007)
Harassment
0.0008615174
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005761191
OpenAI Moderation v1 (007)
Hate
0.00047981
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004175985
OpenAI Moderation v1 (007)
Sexual
0.0003326827
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003250189
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.42926E-5
OpenAI Moderation v1 (007)
Self-Harm
1.5374E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.38835E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Technology (General)
Score:
100
Magnitude:
0.119
Code:
13010000
Url:
https://cv.iptc.org/newscodes/subjectcode/13010000
Wikidata_id:
Q11016
Wikidata_label:
technology
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
68
Magnitude:
0.081
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Science and Technology
Score:
51
Magnitude:
0.061
Code:
13000000
Url:
https://cv.iptc.org/newscodes/subjectcode/13000000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.3
Gunning-Fog Score
14.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
29
Richard Lugar
These impediments can be grouped into three areas. First, poor governance -- the lack of rule of law or enforceable contracts and the prevalence of corruption -- creates disincentives to invest, start, up new firms, and expand existing firms with high-productivity jobs. This has a negative impact on capital formation and entrepreneurial activity. Second, weak health and education systems impede the development of human capital. Workers without adequate education do not have the skills to take on high-productivity jobs or to increase the productivity of the jobs they do have. Third, too many restrictions on economic transactions prevent people from trading goods and services or adopting new technologies. Poor economic policies, state monopolies, excessive regulation, and the lack of openness to trade are all examples of restrictions that reduce the incentives for innovation and investment that are needed to boost productivity.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.27297
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.54232
VADER
-0.434
Negative
Moderation
Sexual > Minors
0.0035010929
OpenAI Moderation v1 (007)
Sexual
0.0026570517
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016607508
OpenAI Moderation v1 (007)
Harassment
0.0006103475
OpenAI Moderation v1 (007)
Violence
0.0003067847
OpenAI Moderation v1 (007)
Hate
0.0001031569
OpenAI Moderation v1 (007)
Hate > Threatening
1.41283E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.11283E-5
OpenAI Moderation v1 (007)
Self-Harm
6.4109E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1325E-6
OpenAI Moderation v1 (007)
Harassment > Threatening
3.622E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.485
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.486
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Labor > Employment > Occupations
Score:
71
Magnitude:
0.346
Code:
9003004
Url:
https://cv.iptc.org/newscodes/subjectcode/09003004
Wikidata_id:
Q12737077
Wikidata_label:
occupation
Source:
IPTC Subject
Topic:
Social Issue > Poverty
Score:
68
Magnitude:
0.33
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Health > Healthcare Policy
Score:
61
Magnitude:
0.298
Code:
7013000
Url:
https://cv.iptc.org/newscodes/subjectcode/07013000
Wikidata_id:
Q1519812
Wikidata_label:
health policy
Source:
IPTC Subject
Topic:
Labor > Collective Contract > Contract Issue-Healthcare
Score:
60
Magnitude:
0.29
Code:
9002002
Url:
https://cv.iptc.org/newscodes/subjectcode/09002002
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
60
Magnitude:
0.292
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
54
Magnitude:
0.263
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Education
Score:
52
Magnitude:
0.254
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.6
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
56
Sprache Difficult Word Count
56
Richard Lugar
The Administration's approach to assisting developing nations to overcome these impediments and thereby increase their productivity growth is to increase aid, reward better performance, and measure results. All three must be simultaneously implemented; two of three alone would not succeed. As the MCA clearly represents a significant increase in aid levels, I want to focus on how the MCA will reward better performance and measure results. rewarding better performance
Sentiment
Loughran McDonald (Relative)
0.55556
Very Positive
Loughran McDonald (Absolute)
0.55556
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.86667
Very Positive
Harvard-IV (Absolute)
0.86667
Very Positive
Harvard-IV (Logit)
2.26868
VADER
0.982
Very Positive
Moderation
Harassment
0.061661622
OpenAI Moderation v1 (007)
Sexual
0.0466241705
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0422828394
OpenAI Moderation v1 (007)
Violence
0.0386519503
OpenAI Moderation v1 (007)
Sexual > Minors
0.0355329539
OpenAI Moderation v1 (007)
Hate > Threatening
0.0232943436
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0064380169
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058366521
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0054158438
OpenAI Moderation v1 (007)
Hate
0.0040761421
OpenAI Moderation v1 (007)
Self-Harm
0.0020366913
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Award and Prize
Score:
100
Magnitude:
0.066
Code:
8006000
Url:
https://cv.iptc.org/newscodes/subjectcode/08006000
Wikidata_id:
Q618779
Wikidata_label:
award
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.9
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
25
Richard Lugar
President Bush's vision of the MCA recognizes the importance of rewarding pro-growth policies. He categorizes these policies as ruling justly, investing in people and encouraging economic freedom. The MCA provides an incentive for countries to adopt good policies that will benefit them in three distinct ways: (i) These policies, in and of themselves, will increase growth; (ii) These policies will create an environment conducive to foreign and domestic investment; and (iii) Development assistance will be more effective in good policy environments. Following President Bush's leadership, the Administration sought to develop a set of indicators that will be used to measure a country's commitment to pro-growth policies. An interagency group with representatives from Treasury, State, USAID, OMB, Commerce, CEA and NSC worked intensively for several months evaluating a wide range of possible indicators. As part of this process, we met with representatives from other donor countries, developing countries, non- governmental organizations (NGOs), universities, think tanks, the private sector, and other interested parties to gather their ideas.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.70805
Harvard-IV (Relative)
0.91667
Very Positive
Harvard-IV (Absolute)
0.91667
Very Positive
Harvard-IV (Logit)
2.75154
VADER
0.992
Very Positive
Moderation
Violence
0.0279388798
OpenAI Moderation v1 (007)
Harassment
0.0105185049
OpenAI Moderation v1 (007)
Hate
0.0050177208
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048734561
OpenAI Moderation v1 (007)
Sexual
0.0027913506
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024004868
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005687353
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001893615
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001447107
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001105475
OpenAI Moderation v1 (007)
Self-Harm
6.91676E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.653
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
92
Magnitude:
0.598
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
78
Sprache Difficult Word Count
73
Richard Lugar
As a first step we needed to decide which set of countries would be eligible to compete for MCA funds. Our proposal is to expand the number of countries eligible as funding ramps up. In FY'04, countries eligible to borrow from the International Development Association (IDA), and which have per capita incomes below $1,435 (the historical IDA cutoff), will be considered. This is currently 74 countries. In FY'05, all countries with incomes below $1,435 will be considered, which adds another 13 countries. In FY'06, all countries with incomes up to $2,975 -- the current World Bank cutoff for lower middle income countries -- will be eligible to compete as a separate pool. This group currently consists of 29 countries. It is important to note that countries prohibited from receiving assistance by current statutory restrictions will not be eligible.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
0.296
Slightly Positive
Moderation
Hate
0.052815862
OpenAI Moderation v1 (007)
Harassment
0.0154712165
OpenAI Moderation v1 (007)
Violence
0.0073612602
OpenAI Moderation v1 (007)
Sexual
0.0011001436
OpenAI Moderation v1 (007)
Hate > Threatening
0.000657551
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004412237
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000264732
OpenAI Moderation v1 (007)
Self-Harm
0.0001522923
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001060368
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.29089E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1229E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Foreign Aid
Score:
100
Magnitude:
0.125
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
53.5
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
33
Richard Lugar
Eligible countries will qualify for funding based on their policy performance in the categories of ruling justly, investing in people and encouraging economic freedom. In an attempt to objectively quantify performance in these three categories, we considered a variety of potential indicators.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.823
Very Positive
Moderation
Harassment
0.0170983592
OpenAI Moderation v1 (007)
Violence
0.0070776143
OpenAI Moderation v1 (007)
Hate
0.0034016382
OpenAI Moderation v1 (007)
Sexual
0.0013069149
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003719904
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001114901
OpenAI Moderation v1 (007)
Hate > Threatening
1.68212E-5
OpenAI Moderation v1 (007)
Self-Harm
1.08062E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.9791E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.9983E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.142E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.068
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
78
Magnitude:
0.053
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.9
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
20
Richard Lugar
Ultimately, we selected 16 based on their relationship to growth and poverty reduction, the number of countries they cover, their transparency and availability, and their relative soundness and objectivity. These indicators are not set in stone and may change in the future if problems with them emerge or better indicators become available. To qualify as a better performer, a country will have to be above the median on half of the indicators in each of the three policy areas. Governing Justly:
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
0.402
Positive
Moderation
Violence
0.004675347
OpenAI Moderation v1 (007)
Hate
0.0037635942
OpenAI Moderation v1 (007)
Harassment
0.0012389748
OpenAI Moderation v1 (007)
Sexual
0.0004328668
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002666067
OpenAI Moderation v1 (007)
Hate > Threatening
2.8135E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
2.42246E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.9004E-6
OpenAI Moderation v1 (007)
Self-Harm
2.5963E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.907E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.74E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Family
Score:
100
Magnitude:
0.062
Code:
14006000
Url:
https://cv.iptc.org/newscodes/subjectcode/14006000
Wikidata_id:
Q8436
Wikidata_label:
family
Source:
IPTC Subject
Topic:
Social Issue > Poverty
Score:
95
Magnitude:
0.058
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
81
Magnitude:
0.05
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.9
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
24
Richard Lugar
There is a growing literature on the importance of strong political institutions and good economic governance to successful development.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.922
Very Positive
Moderation
Harassment
0.031089905
OpenAI Moderation v1 (007)
Hate
0.0102011996
OpenAI Moderation v1 (007)
Violence
0.0038405167
OpenAI Moderation v1 (007)
Sexual
0.0030092133
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013570681
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004836732
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004645101
OpenAI Moderation v1 (007)
Self-Harm
1.56971E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.1383E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.3814E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4627E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General) > Political Development
Score:
100
Magnitude:
0.32
Code:
11024003
Url:
https://cv.iptc.org/newscodes/subjectcode/11024003
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Literature
Score:
78
Magnitude:
0.249
Code:
1010000
Url:
https://cv.iptc.org/newscodes/subjectcode/01010000
Wikidata_id:
Q8242
Wikidata_label:
literature
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Business (General) > Institution
Score:
67
Magnitude:
0.215
Code:
4018001
Url:
https://cv.iptc.org/newscodes/subjectcode/04018001
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
60
Magnitude:
0.191
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
58
Magnitude:
0.187
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Arts (General)
Score:
51
Magnitude:
0.162
Code:
1020000
Url:
https://cv.iptc.org/newscodes/subjectcode/01020000
Wikidata_id:
Q2018526
Wikidata_label:
arts
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Richard Lugar
Civil Liberties: Freedom House evaluates freedom of expression, association and organizational rights, rule of law and human rights, and personal autonomy and economic rights.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.914
Very Positive
Moderation
Harassment
0.0099590412
OpenAI Moderation v1 (007)
Violence
0.0074471034
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054184064
OpenAI Moderation v1 (007)
Sexual
0.003263681
OpenAI Moderation v1 (007)
Hate
0.0023742818
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005946525
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003707009
OpenAI Moderation v1 (007)
Hate > Threatening
4.08236E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.89646E-5
OpenAI Moderation v1 (007)
Self-Harm
1.74793E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.18527E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Human Rights
Score:
100
Magnitude:
1
Code:
11007000
Url:
https://cv.iptc.org/newscodes/subjectcode/11007000
Wikidata_id:
Q8458
Wikidata_label:
human rights
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Richard Lugar
Political Rights: Freedom House also evaluates the prevalence of free and fair elections of officials with real power; the ability of citizens to form political parties that may compete fairly in elections; freedom from domination by the military, foreign powers, totalitarian parties, religious hierarchies and economic oligarchies; and the political rights of minority groups.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.955
Very Positive
Moderation
Harassment
0.1132073812
OpenAI Moderation v1 (007)
Hate
0.0588964846
OpenAI Moderation v1 (007)
Violence
0.0023795294
OpenAI Moderation v1 (007)
Sexual
0.0021960273
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010557857
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009195462
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001018975
OpenAI Moderation v1 (007)
Hate > Threatening
9.04602E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.41414E-5
OpenAI Moderation v1 (007)
Self-Harm
1.71782E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.7344E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parties and Movements
Score:
100
Magnitude:
1
Code:
11010000
Url:
https://cv.iptc.org/newscodes/subjectcode/11010000
Wikidata_id:
Q7278
Wikidata_label:
political party
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
22
Richard Lugar
Voice and Accountability: The World Bank Institute has designed a set of indices that aggregates existing quantitative assessments of governance from a broad range of sources. One of these indices attempts to measure a country's ability to protect civil liberties, the extent to which citizens of a country are able to participate in the selection of governments, and the independence of the media.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.13549
VADER
0.802
Very Positive
Moderation
Hate
0.0098733348
OpenAI Moderation v1 (007)
Violence
0.008991894
OpenAI Moderation v1 (007)
Sexual
0.0023406268
OpenAI Moderation v1 (007)
Harassment
0.0016453161
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006775568
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005614825
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005334756
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003535577
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.32095E-5
OpenAI Moderation v1 (007)
Self-Harm
9.2945E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.3599E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.142
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
57
Magnitude:
0.081
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
56
Magnitude:
0.08
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
26
Richard Lugar
The policies incorporated in the previous three indicators should be seen as ends in their own right apart from their impact on growth. Additionally, freedom of expression and of the media allow civil society to effectively monitor the government and reduce corruption and more subtle rent-seeking behavior. Free and fair elections make governments accountable to the entire country rather than to a narrow power base, thus making them more responsive to development needs.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.958
Very Positive
Moderation
Violence
0.0071350536
OpenAI Moderation v1 (007)
Sexual
0.0037233051
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030368134
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020272659
OpenAI Moderation v1 (007)
Harassment
0.0004841107
OpenAI Moderation v1 (007)
Hate
0.0003416218
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001608283
OpenAI Moderation v1 (007)
Hate > Threatening
9.52943E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.81607E-5
OpenAI Moderation v1 (007)
Self-Harm
1.92987E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.84405E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.171
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
77
Magnitude:
0.132
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Election
Score:
75
Magnitude:
0.129
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Politics > Government
Score:
71
Magnitude:
0.122
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Media
Score:
55
Magnitude:
0.093
Code:
4010000
Url:
https://cv.iptc.org/newscodes/subjectcode/04010000
Wikidata_id:
Q56611639
Wikidata_label:
media industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
35
Richard Lugar
The remaining three indicators are produced by the World Bank Institute. These indices are formed by aggregating surveys from 15-20 different sources, similar to Voice and Accountability:
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0
Neutral
Moderation
Violence
0.0416450028
OpenAI Moderation v1 (007)
Harassment
0.0054847678
OpenAI Moderation v1 (007)
Sexual
0.005316261
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031070551
OpenAI Moderation v1 (007)
Hate
0.0016889637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015716085
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008622573
OpenAI Moderation v1 (007)
Self-Harm
0.000833008
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003503947
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002584004
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.14631E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election > Poll
Score:
100
Magnitude:
0.095
Code:
11003008
Url:
https://cv.iptc.org/newscodes/subjectcode/11003008
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
94
Magnitude:
0.089
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Education > School
Score:
58
Magnitude:
0.055
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
41.6
Gunning-Fog Score
14.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
6.9
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
11
Richard Lugar
Government Effectiveness: Good governance includes the provision of quality public services, civil servants who are competent and independent from political pressures, and credible governments that make good on their commitment to produce and implement sound policies and deliver public goods.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.813
Very Positive
Moderation
Violence
0.082186301
OpenAI Moderation v1 (007)
Violence > Graphic
0.0087396424
OpenAI Moderation v1 (007)
Sexual
0.0055321489
OpenAI Moderation v1 (007)
Hate
0.0051479954
OpenAI Moderation v1 (007)
Harassment
0.0044204702
OpenAI Moderation v1 (007)
Sexual > Minors
0.0040902301
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022687535
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012971366
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003898696
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001225952
OpenAI Moderation v1 (007)
Self-Harm
5.66402E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government > Civil and Public Service
Score:
100
Magnitude:
0.319
Code:
11006001
Url:
https://cv.iptc.org/newscodes/subjectcode/11006001
Wikidata_id:
Q11771944
Wikidata_label:
civil service
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
82
Magnitude:
0.26
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
60
Magnitude:
0.191
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Government
Score:
53
Magnitude:
0.17
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
20
Richard Lugar
Rule of Law: This index attempts to measure the extent to which people have confidence in and abide by rules of society, the incidence of violent and non-violent crime, the effectiveness and predictability of the judiciary, and the enforceability of contracts.
Sentiment
Loughran McDonald (Relative)
-0.42857
Negative
Loughran McDonald (Absolute)
-0.42857
Negative
Loughran McDonald (Logit)
-0.78846
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.625
Very Negative
Moderation
Violence
0.0357193087
OpenAI Moderation v1 (007)
Sexual
0.0078052282
OpenAI Moderation v1 (007)
Harassment
0.0029001296
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022262313
OpenAI Moderation v1 (007)
Violence > Graphic
0.001541104
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014454542
OpenAI Moderation v1 (007)
Hate
0.0009314116
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002201484
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.23806E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.19921E-5
OpenAI Moderation v1 (007)
Self-Harm
5.5686E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice)
Score:
100
Magnitude:
0.179
Code:
2002000
Url:
https://cv.iptc.org/newscodes/subjectcode/02002000
Wikidata_id:
Q105985
Wikidata_label:
judiciary
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Crime
Score:
71
Magnitude:
0.127
Code:
2001000
Url:
https://cv.iptc.org/newscodes/subjectcode/02001000
Wikidata_id:
Q83267
Wikidata_label:
crime
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
55
Magnitude:
0.098
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
11.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Richard Lugar
Control of Corruption: With respect to this indicator, President Bush made it clear that MCA funds should only go to the most transparent and least corrupt countries. To meet the President's concerns, we have determined that those countries which fall below the median on this indicator will be considered ineligible for MCA funds, absent material change in their circumstances. Investing in People:
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.796
Very Positive
Moderation
Violence
0.0586702256
OpenAI Moderation v1 (007)
Sexual
0.004100658
OpenAI Moderation v1 (007)
Hate
0.0019535106
OpenAI Moderation v1 (007)
Harassment
0.0015640893
OpenAI Moderation v1 (007)
Hate > Threatening
0.0010776065
OpenAI Moderation v1 (007)
Sexual > Minors
0.00087336
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006189098
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005835142
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002185248
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001426598
OpenAI Moderation v1 (007)
Self-Harm
7.15956E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.066
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.9
Gunning-Fog Score
14.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
22
Richard Lugar
In terms of measuring a country's commitment to educating its citizenry and providing basic health care, we were particularly concerned that a country's income level not preclude it from qualifying, yet we also wanted to provide an incentive for countries to focus on key policies that contribute to growth. Our proposal, therefore, includes two budgetary input measures, which governments can control and rapidly change. However, more money does not always lead to better results. Consequently, we have included two output measures that more accurately reflect improvement in the policy environment over time and are key to sustainable development.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.88235
Very Positive
Harvard-IV (Absolute)
0.88235
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.944
Very Positive
Moderation
Violence
0.0193233253
OpenAI Moderation v1 (007)
Sexual
0.012141667
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061935811
OpenAI Moderation v1 (007)
Harassment
0.0037146514
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032708849
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013494345
OpenAI Moderation v1 (007)
Hate
0.0004588372
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003097841
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000241206
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001309794
OpenAI Moderation v1 (007)
Self-Harm
4.52948E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Healthcare Policy
Score:
100
Magnitude:
0.401
Code:
7013000
Url:
https://cv.iptc.org/newscodes/subjectcode/07013000
Wikidata_id:
Q1519812
Wikidata_label:
health policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
42
Richard Lugar
Public expenditure on health as a percent of GDP: These data are being provided directly by the recipient government.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Hate
0.0170446263
OpenAI Moderation v1 (007)
Harassment
0.0123464837
OpenAI Moderation v1 (007)
Sexual
0.010807738
OpenAI Moderation v1 (007)
Violence
0.0040380291
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012537431
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006670192
OpenAI Moderation v1 (007)
Self-Harm
0.0005806625
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004788513
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003325032
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.41347E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.99823E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.113
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.2
Gunning-Fog Score
18.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
11
Richard Lugar
Immunization rate for DPT and measles: The UN's World Health Organization publicly compiles and annually releases data on immunization rates for nearly all member countries. Immunization rates can be associated with growth because labor productivity increases when workers are not out sick or caring for ill family members.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.568
Very Positive
Moderation
Hate
0.0325277622
OpenAI Moderation v1 (007)
Sexual
0.018057313
OpenAI Moderation v1 (007)
Harassment
0.0155600734
OpenAI Moderation v1 (007)
Sexual > Minors
0.0078977464
OpenAI Moderation v1 (007)
Violence
0.0021109523
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015069938
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008333568
OpenAI Moderation v1 (007)
Self-Harm
4.72454E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.10914E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.6537E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1035E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.236
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
18.6
Gunning-Fog Score
17.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
22
Richard Lugar
Total public expenditure on primary education as a percent of GDP: These data are being provided directly by the recipient government.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Sexual
0.0521434937
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044241646
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036931757
OpenAI Moderation v1 (007)
Harassment
0.0014263479
OpenAI Moderation v1 (007)
Violence
0.0012618493
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009129674
OpenAI Moderation v1 (007)
Self-Harm
0.0004086226
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001079254
OpenAI Moderation v1 (007)
Hate
6.4015E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.55706E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.449E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School > Elementary Schools
Score:
100
Magnitude:
0.261
Code:
5005001
Url:
https://cv.iptc.org/newscodes/subjectcode/05005001
Wikidata_id:
Q9842
Wikidata_label:
primary school
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
16.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.6
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13
Richard Lugar
Primary Completion Rate: The World Bank and UNESCO compile data that measure whether children are attaining minimum education levels. A higher level of education increases labor productivity. Encouraging Economic Freedom:
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.823
Very Positive
Moderation
Sexual
0.0835284416
OpenAI Moderation v1 (007)
Violence
0.052724214
OpenAI Moderation v1 (007)
Violence > Graphic
0.0223171519
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0102275277
OpenAI Moderation v1 (007)
Hate
0.0046970436
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038935901
OpenAI Moderation v1 (007)
Harassment
0.0025585025
OpenAI Moderation v1 (007)
Self-Harm
0.0017386605
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003476829
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003119007
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.27722E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
100
Magnitude:
0.296
Code:
5000000
Url:
https://cv.iptc.org/newscodes/subjectcode/05000000
Wikidata_id:
Q8434
Wikidata_label:
education
Source:
IPTC Subject
Topic:
Labor > Employment > Child Labor
Score:
71
Magnitude:
0.211
Code:
9003003
Url:
https://cv.iptc.org/newscodes/subjectcode/09003003
Wikidata_id:
Q192571
Wikidata_label:
child labour
Source:
IPTC Subject
Topic:
Education > School > Elementary Schools
Score:
50
Magnitude:
0.148
Code:
5005001
Url:
https://cv.iptc.org/newscodes/subjectcode/05005001
Wikidata_id:
Q9842
Wikidata_label:
primary school
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
4.9
Gunning-Fog Score
13.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.9
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
19
Richard Lugar
The MCA will measure a country's level of economic freedom based on its performance in implementing prudent macroeconomic and microeconomic policies, as well as creating the conditions necessary to attract investors.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.875
Very Positive
Moderation
Sexual
0.0105016574
OpenAI Moderation v1 (007)
Violence
0.0019543248
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010301826
OpenAI Moderation v1 (007)
Harassment
0.0006118767
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005297265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002182197
OpenAI Moderation v1 (007)
Hate
0.0002054952
OpenAI Moderation v1 (007)
Hate > Threatening
5.10497E-5
OpenAI Moderation v1 (007)
Self-Harm
5.5465E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.1532E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.74E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.232
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
51
Magnitude:
0.119
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Richard Lugar
Country Credit Rating: Institutional Investor magazine produces a semi-annual survey of bankers' and fund managers' perceptions of a country's risk of default. Our belief is that such a survey is an important indicator of the views of the private sector. In addition, an improved credit rating usually leads to a lower cost of capital and greater domestic and foreign direct investment.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.807
Very Positive
Moderation
Violence
0.0364199397
OpenAI Moderation v1 (007)
Sexual
0.0094427218
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027701331
OpenAI Moderation v1 (007)
Harassment
0.0019481377
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001003172
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002286519
OpenAI Moderation v1 (007)
Hate
0.0001781573
OpenAI Moderation v1 (007)
Self-Harm
1.22162E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.10012E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.3874E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0166E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Credit Ratings
Score:
100
Magnitude:
0.315
Code:
4016050
Url:
https://cv.iptc.org/newscodes/subjectcode/04016050
Wikidata_id:
Q372765
Wikidata_label:
credit rating
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.3
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
32
Richard Lugar
Inflation: High inflation distorts relative prices and discourages long-term investments. Also, as the poor hold a higher percentage of their wealth in cash, they are disproportionately hurt by the erosion of their purchasing power. Of the 16 indicators, this is the only one where performance is not judged relative to the median. Instead, a country must have inflation of less than 20% in order to pass the indicator.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.4
Negative
Harvard-IV (Absolute)
-0.4
Negative
Harvard-IV (Logit)
-0.76214
VADER
-0.823
Very Negative
Moderation
Sexual
0.0117458629
OpenAI Moderation v1 (007)
Violence > Graphic
0.0106168052
OpenAI Moderation v1 (007)
Violence
0.0029624425
OpenAI Moderation v1 (007)
Harassment
0.0023562032
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007983537
OpenAI Moderation v1 (007)
Hate
0.0005483514
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003342145
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003210826
OpenAI Moderation v1 (007)
Self-Harm
0.0001440923
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.16532E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.42108E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Inflation and Deflation
Score:
100
Magnitude:
0.629
Code:
4008016
Url:
https://cv.iptc.org/newscodes/subjectcode/04008016
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
50.8
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Richard Lugar
Budget Deficit/GDP: As a measure of fiscal policy, we use a country's overall budget deficit averaged over a three-year period. The data for this measure will be provided directly by the recipient government, cross-checked with other sources, and made publicly available. Among other impacts on growth, a high budget deficit crowds out private sector investment and can lead to inflation.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
-0.422
Negative
Moderation
Violence
0.0961916929
OpenAI Moderation v1 (007)
Harassment
0.03117616
OpenAI Moderation v1 (007)
Sexual
0.0173662993
OpenAI Moderation v1 (007)
Violence > Graphic
0.0092528091
OpenAI Moderation v1 (007)
Hate
0.0061631436
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017716469
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010597481
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005235001
OpenAI Moderation v1 (007)
Self-Harm
0.000144415
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.05627E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.98121E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Finance (General) > Money and Monetary Policy
Score:
100
Magnitude:
0.48
Code:
4019001
Url:
https://cv.iptc.org/newscodes/subjectcode/04019001
Wikidata_id:
Q178476
Wikidata_label:
monetary policy
Source:
IPTC Subject
Topic:
Politics > State Budget and Tax
Score:
83
Magnitude:
0.399
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.5
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
27
Richard Lugar
Days to start a business: The Private Sector Advisory Service of the World Bank Group works with local lawyers and other professionals to examine specific regulations that impact business investment. One of their studies measures how many days it takes to open a new business. Bureaucratic barriers to business formation that go beyond protecting society not only hinder entrepreneurship but may exist to preserve the economic rents of political cronies.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0
Neutral
Moderation
Violence
0.0591361371
OpenAI Moderation v1 (007)
Sexual
0.0175710389
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0080384183
OpenAI Moderation v1 (007)
Harassment
0.0071325972
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050884733
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018952021
OpenAI Moderation v1 (007)
Hate
0.0014925125
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002431335
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.51667E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6296E-6
OpenAI Moderation v1 (007)
Self-Harm
1.202E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.827
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
75
Magnitude:
0.618
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
53
Magnitude:
0.434
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.2
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
29
Richard Lugar
Trade Policy: The Heritage Foundation's Index of Economic Freedom measures a country's openness to international trade based on average tariff rates and non-tariff barriers to trade. Open economies -- those with low to moderate trade barriers and exchange controls -- tend to grow faster than more closed economies.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.671
Very Positive
Moderation
Harassment
0.0449730433
OpenAI Moderation v1 (007)
Sexual
0.0124905739
OpenAI Moderation v1 (007)
Violence
0.0093014038
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029852463
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020045023
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013908231
OpenAI Moderation v1 (007)
Hate
0.0010424731
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002039087
OpenAI Moderation v1 (007)
Hate > Threatening
7.80834E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.4804E-5
OpenAI Moderation v1 (007)
Self-Harm
3.67501E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > International (Foreign) Trade
Score:
100
Magnitude:
1
Code:
4008011
Url:
https://cv.iptc.org/newscodes/subjectcode/04008011
Wikidata_id:
Q178803
Wikidata_label:
international trade
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.6
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
24
Richard Lugar
Regulatory Quality Rating: The World Bank Institute (see section above on Governing Justly) measures the burden on business arising from, among others, licensing requirements, labor regulations, and bureaucratic corruption. Excessive regulations and their arbitrary application deter investment and raise the cost of doing business, thereby hindering job creation and reducing growth.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.4
Negative
Harvard-IV (Absolute)
-0.4
Negative
Harvard-IV (Logit)
-0.76214
VADER
0.202
Slightly Positive
Moderation
Sexual
0.0101793259
OpenAI Moderation v1 (007)
Harassment
0.0049408041
OpenAI Moderation v1 (007)
Violence
0.0031846317
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026954387
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005519363
OpenAI Moderation v1 (007)
Hate
0.0004417745
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001769113
OpenAI Moderation v1 (007)
Hate > Threatening
5.64915E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8904E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.95577E-5
OpenAI Moderation v1 (007)
Self-Harm
6.8981E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.108
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
89
Magnitude:
0.097
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Rating
Score:
81
Magnitude:
0.088
Code:
4016036
Url:
https://cv.iptc.org/newscodes/subjectcode/04016036
Wikidata_id:
Q372765
Wikidata_label:
credit rating
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
79
Magnitude:
0.086
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Business Enterprises
Score:
68
Magnitude:
0.074
Code:
4008034
Url:
https://cv.iptc.org/newscodes/subjectcode/04008034
Wikidata_id:
Q4830453
Wikidata_label:
business
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Litigation and Regulation
Score:
53
Magnitude:
0.058
Code:
4016027
Url:
https://cv.iptc.org/newscodes/subjectcode/04016027
Wikidata_id:
Q2920921
Wikidata_label:
management
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
50
Magnitude:
0.054
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
29
Richard Lugar
While these indicators meet all of our criteria, there may still be gaps or lags in the data, or trends not reflected in the data, which may be material for assessing performance. To correct for these possibilities, the MCA Board of Directors will look behind the numbers to make a final recommendation to the President on qualifying countries. measuring results
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.46634
VADER
-0.361
Somewhat Negative
Moderation
Harassment
0.1067828038
OpenAI Moderation v1 (007)
Violence
0.017957727
OpenAI Moderation v1 (007)
Hate
0.0051343068
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00409071
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014091297
OpenAI Moderation v1 (007)
Sexual
0.0002586052
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001124429
OpenAI Moderation v1 (007)
Hate > Threatening
6.05015E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.75744E-5
OpenAI Moderation v1 (007)
Self-Harm
1.49051E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6486E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
46.9
Gunning-Fog Score
14.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
19
Richard Lugar
Aid effectiveness requires not only better performance but also a focus on measuring results. This is a core component of the Administration's development strategy and is one that we have pushed in the Multilateral Development Banks (MDBs). For example, the U.S. made part of its financial commitment to the IDA-13 replenishment in the form of an incentive contribution that will reward the World Bank for increasing the use of various diagnostic tools (such as reviewing the policies of developing countries in the areas of financial accountability, procurement, public expenditure management, and poverty analysis) as well as making progress towards a set of development indicators (in health, education, and private sector development). The agreement also called for the initiation of a performance measurement system which will develop ultimately into a common set of outcome indicators that can be compared across countries.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.80952
Very Positive
Harvard-IV (Absolute)
0.80952
Very Positive
Harvard-IV (Logit)
2.05412
VADER
0.956
Very Positive
Moderation
Violence
0.0083650404
OpenAI Moderation v1 (007)
Harassment
0.0058283204
OpenAI Moderation v1 (007)
Sexual
0.0028337226
OpenAI Moderation v1 (007)
Hate
0.001333075
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002801591
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001981824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001452593
OpenAI Moderation v1 (007)
Self-Harm
3.78458E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.39827E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.87422E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.56308E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.286
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Finance (General) > Money and Monetary Policy
Score:
74
Magnitude:
0.211
Code:
4019001
Url:
https://cv.iptc.org/newscodes/subjectcode/04019001
Wikidata_id:
Q178476
Wikidata_label:
monetary policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.7
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
56
Sprache Difficult Word Count
57
Richard Lugar
The MCA furthers this focus on measuring results by making accountability for results an integral part of every activity for which MCA funds are used. Americans are by nature a generous people but they want to see results from their funds that are devoted to development, and their support for providing foreign assistance will only increase if those results are demonstrated in a convincing and straightforward manner. By measuring concrete results, we can focus our efforts on what really matters: helping poor people around the world escape from poverty and lead better lives. The approach helps us cut through bureaucratic layers, ignore non-essentials, and concentrate on development problems that must be solved. It is a way to maximize the benefits of our funds.
Sentiment
Loughran McDonald (Relative)
0.25
Slightly Positive
Loughran McDonald (Absolute)
0.25
Slightly Positive
Loughran McDonald (Logit)
0.45199
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.53393
VADER
0.942
Very Positive
Moderation
Harassment
0.0993880676
OpenAI Moderation v1 (007)
Hate
0.0049217066
OpenAI Moderation v1 (007)
Violence
0.0044130782
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017422173
OpenAI Moderation v1 (007)
Sexual
0.0015765412
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004530433
OpenAI Moderation v1 (007)
Sexual > Minors
2.30051E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.23526E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.14694E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.8246E-6
OpenAI Moderation v1 (007)
Self-Harm
6.0555E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.099
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
86
Magnitude:
0.086
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
77
Magnitude:
0.076
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Politics > Election
Score:
72
Magnitude:
0.072
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Environmental Issue > Nature
Score:
61
Magnitude:
0.061
Code:
6007000
Url:
https://cv.iptc.org/newscodes/subjectcode/06007000
Wikidata_id:
Q7860
Wikidata_label:
nature
Source:
IPTC Subject
Topic:
Politics
Score:
52
Magnitude:
0.052
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.4
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
48
Sprache Difficult Word Count
42
Richard Lugar
MCA contracts will state in quantitative terms the expected outcomes of individual activities and overall country assistance. We will require a clear strategy for gathering baseline data and measuring progress towards stated results and assessing the reasons for success and failure. We will also require projects to be structured in a way that steps up or cuts back funding contingent on achieving results. In addition, evaluation of results will allow the MCA to incorporate lessons learned into ongoing and future operations. In keeping with the MCA's commitment to transparency, all monitoring and evaluation reports, as well as the terms of each contract, will be made public in the U.S. and in the host country. Furthermore, we will continue to monitor country commitment to MCA selection criteria.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.76471
Very Positive
Harvard-IV (Absolute)
0.76471
Very Positive
Harvard-IV (Logit)
1.82455
VADER
0.896
Very Positive
Moderation
Harassment
0.0057034445
OpenAI Moderation v1 (007)
Violence
0.0022435202
OpenAI Moderation v1 (007)
Sexual
0.0009893653
OpenAI Moderation v1 (007)
Hate
0.0005293336
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004093774
OpenAI Moderation v1 (007)
Sexual > Minors
0.000138076
OpenAI Moderation v1 (007)
Harassment > Threatening
6.8557E-5
OpenAI Moderation v1 (007)
Self-Harm
2.65148E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5053E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8027E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.186E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.06
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
38.8
Gunning-Fog Score
14.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
6.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
49
Sprache Difficult Word Count
51
Richard Lugar
In addition to sector specific monitoring, we will also be concerned with the broader policy environment. The Millennium Challenge Corporation will monitor overall budget data to determine whether recipient governments are using MCA resources in a complementary manner with their own domestic and other development resources.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.077
Neutral
Moderation
Violence
0.0114470386
OpenAI Moderation v1 (007)
Harassment
0.0084275649
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0058481462
OpenAI Moderation v1 (007)
Sexual
0.0007218489
OpenAI Moderation v1 (007)
Hate
0.0003001354
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002262733
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001190032
OpenAI Moderation v1 (007)
Self-Harm
6.33057E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.75517E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5366E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.8123E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Environmental Issue > Environmental Politics
Score:
100
Magnitude:
0.062
Code:
6004000
Url:
https://cv.iptc.org/newscodes/subjectcode/06004000
Wikidata_id:
Q5381346
Wikidata_label:
environmental politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
26
Richard Lugar
Coordination of assistance with other donors will be vital to the success of the MCA. Each recipient country will be responsible for managing coordination among the MCA and other donors to maximize impact and avoid duplication of efforts. The effort to align MCA country contracts and MDB assistance with each country's Poverty Reduction Strategy Paper (PRSP) or other development strategy will also help coordinate development assistance. conclusion
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.71429
Very Positive
Harvard-IV (Absolute)
0.71429
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.66
Very Positive
Moderation
Sexual
0.0316490012
OpenAI Moderation v1 (007)
Violence
0.0167376886
OpenAI Moderation v1 (007)
Violence > Graphic
0.0160554686
OpenAI Moderation v1 (007)
Harassment
0.0024901816
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013275942
OpenAI Moderation v1 (007)
Hate
0.001262125
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006422675
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002275711
OpenAI Moderation v1 (007)
Self-Harm
2.53159E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.91572E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.55708E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.08
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24.4
Gunning-Fog Score
15.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.8
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
25
Richard Lugar
For many years, we have all heard about the importance of aid effectiveness. The MCA represents this country's greatest opportunity to transform rhetoric into an operational action plan. The MCA has the ability to challenge countries to demonstrate performance, to achieve results, and most importantly to assist their people in having a better opportunity to pursue a better life for themselves and their families. I urge your favorable consideration of the "Millennium Challenge Act of 2003."
Sentiment
Loughran McDonald (Relative)
0.55556
Very Positive
Loughran McDonald (Absolute)
0.55556
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.966
Very Positive
Moderation
Sexual
0.0349293899
OpenAI Moderation v1 (007)
Violence
0.0205308708
OpenAI Moderation v1 (007)
Violence > Graphic
0.0049863622
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031327316
OpenAI Moderation v1 (007)
Harassment
0.0009618485
OpenAI Moderation v1 (007)
Hate
0.0009434186
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008161862
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005543566
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001907295
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001758605
OpenAI Moderation v1 (007)
Self-Harm
3.2891E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.7
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
28
Richard Lugar
Administrator Natsios.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.027263377
OpenAI Moderation v1 (007)
Sexual
0.0091973896
OpenAI Moderation v1 (007)
Violence
0.0075605611
OpenAI Moderation v1 (007)
Hate
0.0072526673
OpenAI Moderation v1 (007)
Sexual > Minors
0.0050362538
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0017909275
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013565387
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012486778
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007834597
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004122271
OpenAI Moderation v1 (007)
Self-Harm
0.0002963486
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Richard Lugar
STATEMENT OF HON. ANDREW S. NATSIOS, ADMINISTRATOR, AGENCY FOR
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.200485345
OpenAI Moderation v1 (007)
Violence
0.0449875602
OpenAI Moderation v1 (007)
Hate
0.0233740357
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0140140692
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0055777698
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054449578
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040167095
OpenAI Moderation v1 (007)
Sexual
0.0040092244
OpenAI Moderation v1 (007)
Self-Harm
0.0036114681
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027296543
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012567849
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
25.2
Gunning-Fog Score
5.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.2
Dale-Chall Readability Score
10
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Note
[USAID], WASHINGTON, DC Mr. Natsios. Thank you very much, Mr. Chairman and members of the committee. I would first like to ask that my longer written testimony be put in the record. But I also would note --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.612
Very Positive
Moderation
Harassment
1.2008854188
OpenAI Moderation v1 (007)
Hate
0.4117721692
OpenAI Moderation v1 (007)
Violence
0.3359545022
OpenAI Moderation v1 (007)
Violence > Graphic
0.0414895505
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0163384131
OpenAI Moderation v1 (007)
Hate > Threatening
0.0019043786
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0018958457
OpenAI Moderation v1 (007)
Sexual
0.0008833465
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001118245
OpenAI Moderation v1 (007)
Self-Harm
8.92606E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.68609E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics
Score:
100
Magnitude:
0.056
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.8
Flesch-Kincaid Ease
78.5
Gunning-Fog Score
5.7
Coleman-Liau Index
9
SMOG Index
7.9
Automated Readability Index
1.5
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Richard Lugar
It will be published in full.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.1003589015
OpenAI Moderation v1 (007)
Violence
0.0385733787
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0122623358
OpenAI Moderation v1 (007)
Violence > Graphic
0.0110008557
OpenAI Moderation v1 (007)
Sexual
0.0066006112
OpenAI Moderation v1 (007)
Hate
0.0058109941
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007667802
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007511217
OpenAI Moderation v1 (007)
Self-Harm
0.0006929487
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004923358
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003222612
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.5
Flesch-Kincaid Ease
87.9
Gunning-Fog Score
9.1
Coleman-Liau Index
6.7
SMOG Index
9
Automated Readability Index
0
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Richard Lugar
Mr. Natsios [continuing]. That we worked on the written testimony a great deal. It is more than just written testimony. It is actually the plan that we intend to use to integrate USAID into the Millennium Challenge Account. So I would urge the staffs to examine what we have written, because we went through a long process to get to the written testimony.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.66
Very Positive
Moderation
Violence
0.0357338868
OpenAI Moderation v1 (007)
Harassment
0.0131629015
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021615366
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018772771
OpenAI Moderation v1 (007)
Sexual
0.0011676599
OpenAI Moderation v1 (007)
Hate
0.0008066189
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002966144
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001064668
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.48481E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.26313E-5
OpenAI Moderation v1 (007)
Self-Harm
3.407E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.104
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
66.7
Gunning-Fog Score
8.6
Coleman-Liau Index
10.2
SMOG Index
9.9
Automated Readability Index
4.6
Dale-Chall Readability Score
4.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
17
Richard Lugar
Thank you, Mr. Chairman and members of the committee for holding this hearing on the Millennium Challenge Account in such a timely manner. I know, Mr. Chairman, that you and other members of the committee, have had a great interest in what the President has called our moral imperative to combat world poverty. And I am delighted to participate in what I believe will be one of the most sweeping changes in foreign assistance funding since the Marshall Plan and the Alliance for Progress.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.58779
Harvard-IV (Relative)
0.46667
Positive
Harvard-IV (Absolute)
0.46667
Positive
Harvard-IV (Logit)
0.93827
VADER
0.883
Very Positive
Moderation
Violence
0.0168892526
OpenAI Moderation v1 (007)
Harassment
0.0091527414
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041706011
OpenAI Moderation v1 (007)
Hate
0.0019222198
OpenAI Moderation v1 (007)
Sexual
0.0014700267
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006514796
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005132608
OpenAI Moderation v1 (007)
Sexual > Minors
8.41793E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.07609E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.9216E-6
OpenAI Moderation v1 (007)
Self-Harm
6.2629E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.084
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
60.9
Gunning-Fog Score
10.5
Coleman-Liau Index
11.9
SMOG Index
11.3
Automated Readability Index
9.2
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
27
Sprache Difficult Word Count
27
Richard Lugar
I would like to thank my colleagues, Under Secretary Larson and Under Secretary Taylor, for their excellent summary of the evolution of the MCA and on key issues, which I will not repeat.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.827
Very Positive
Moderation
Harassment
0.0792523264
OpenAI Moderation v1 (007)
Violence
0.0394366332
OpenAI Moderation v1 (007)
Sexual
0.0335257093
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0136023111
OpenAI Moderation v1 (007)
Hate
0.004033334
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026100979
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008315341
OpenAI Moderation v1 (007)
Self-Harm
0.0001565506
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001171179
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001121763
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.70359E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.3
Gunning-Fog Score
18
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Richard Lugar
USAID welcomes the MCA as a bold initiative that will complement our mission and provide strategic focus to U.S. development assistance priorities. We see USAID's role as key in the President's campaign to attack the scourge of poverty by stimulating economic growth, promoting democracy and investing in people. But USAID is only one piece of what is now becoming a more coherent and coordinated U.S. development strategy.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.71
Very Positive
Moderation
Violence
0.249691424
OpenAI Moderation v1 (007)
Harassment
0.0453960325
OpenAI Moderation v1 (007)
Violence > Graphic
0.0263163791
OpenAI Moderation v1 (007)
Hate
0.0120632845
OpenAI Moderation v1 (007)
Sexual
0.0035584642
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015262951
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003668895
OpenAI Moderation v1 (007)
Sexual > Minors
6.94439E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.3304E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.7062E-6
OpenAI Moderation v1 (007)
Self-Harm
1.0735E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.067
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
42.3
Gunning-Fog Score
14.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.2
Dale-Chall Readability Score
6.9
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
30
Richard Lugar
For the first time, we have the opportunity to articulate and implement a government wide U.S. strategy that clearly and accurately defines our different challenges and matches the right tools to address them. The MCA will play a critical role in this process as we begin to define U.S. development assistance to address the very different challenges we face today than those that we faced during the cold war.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
-0.16667
Leans Negative
Harvard-IV (Absolute)
-0.16667
Leans Negative
Harvard-IV (Logit)
-0.31015
VADER
0.377
Somewhat Positive
Moderation
Violence
0.0506255776
OpenAI Moderation v1 (007)
Violence > Graphic
0.0379675825
OpenAI Moderation v1 (007)
Hate
0.0057965488
OpenAI Moderation v1 (007)
Harassment
0.0027741888
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000326073
OpenAI Moderation v1 (007)
Sexual
0.0002633994
OpenAI Moderation v1 (007)
Sexual > Minors
5.2609E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.6341E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.41065E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.05735E-5
OpenAI Moderation v1 (007)
Self-Harm
8.9221E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.117
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
99
Magnitude:
0.116
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
96
Magnitude:
0.111
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
93
Magnitude:
0.108
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Health > Disease
Score:
91
Magnitude:
0.106
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
91
Magnitude:
0.106
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Consumer Goods > Toy
Score:
64
Magnitude:
0.075
Code:
4007012
Url:
https://cv.iptc.org/newscodes/subjectcode/04007012
Wikidata_id:
Q11422
Wikidata_label:
toy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
59
Gunning-Fog Score
12.1
Coleman-Liau Index
12
SMOG Index
11.7
Automated Readability Index
6.7
Dale-Chall Readability Score
4.8
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
Richard Lugar
Specifically, MCA puts into practice what we know works in development. As both my two colleagues suggested, the MCA is the direct outgrowth of what USAID and other development actors have learned over the past 40 years. Simply put, development assistance in poor countries that are pursuing good policies produces growth.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.34
Somewhat Positive
Moderation
Harassment
0.0566004834
OpenAI Moderation v1 (007)
Violence
0.0220002883
OpenAI Moderation v1 (007)
Sexual
0.0053355609
OpenAI Moderation v1 (007)
Hate
0.0036839596
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035582201
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021432232
OpenAI Moderation v1 (007)
Hate > Threatening
0.000324615
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003126356
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0732E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.286E-6
OpenAI Moderation v1 (007)
Self-Harm
9.359E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Movies
Score:
100
Magnitude:
0.087
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
61
Magnitude:
0.053
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
46.9
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
6.4
Sprache Readability Score
4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
16
Richard Lugar
We know that good governance, economic policies, and institutions are key. Country ownership of the development agenda is also essential. These are the foundations of the MCA.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.44
Positive
Moderation
Violence
0.0890407886
OpenAI Moderation v1 (007)
Harassment
0.0163650126
OpenAI Moderation v1 (007)
Sexual
0.0126870887
OpenAI Moderation v1 (007)
Violence > Graphic
0.009355817
OpenAI Moderation v1 (007)
Hate
0.0032856977
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010715224
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004450177
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003032479
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.00067E-5
OpenAI Moderation v1 (007)
Self-Harm
5.929E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.3243E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.145
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
52
Magnitude:
0.075
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
37.9
Gunning-Fog Score
16.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8.2
Dale-Chall Readability Score
6.3
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Richard Lugar
We also know that money alone will not correct bad policy. The fact that it is not the quantity of aid that counts, but the quality, was at the heart of the debate in Monterrey. We know that throwing money at the problem, or meeting "ODA quotas" is not the answer.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.48
Positive
Moderation
Violence
0.0141721946
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0116117481
OpenAI Moderation v1 (007)
Sexual
0.0097258315
OpenAI Moderation v1 (007)
Sexual > Minors
0.0054455184
OpenAI Moderation v1 (007)
Hate > Threatening
0.0041921136
OpenAI Moderation v1 (007)
Harassment
0.0022046095
OpenAI Moderation v1 (007)
Hate
0.0015213152
OpenAI Moderation v1 (007)
Violence > Graphic
0.00140958
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002327846
OpenAI Moderation v1 (007)
Self-Harm
0.0001015879
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.12688E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Insurance
Score:
100
Magnitude:
0.077
Code:
4006006
Url:
https://cv.iptc.org/newscodes/subjectcode/04006006
Wikidata_id:
Q43183
Wikidata_label:
insurance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
71.8
Gunning-Fog Score
9.2
Coleman-Liau Index
8
SMOG Index
9.9
Automated Readability Index
6.1
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Richard Lugar
The MCA recognizes that foreign aid can, at best, play a supporting role in a country's development. A country's commitment to help itself is the primary determinant of success.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.957
Very Positive
Moderation
Violence
0.0120545003
OpenAI Moderation v1 (007)
Sexual
0.0029283096
OpenAI Moderation v1 (007)
Violence > Graphic
0.002213506
OpenAI Moderation v1 (007)
Harassment
0.0016387845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008367071
OpenAI Moderation v1 (007)
Hate
0.0002519912
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001938129
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001147392
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.42945E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.63848E-5
OpenAI Moderation v1 (007)
Self-Harm
7.9094E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
46.3
Gunning-Fog Score
14.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9
Dale-Chall Readability Score
7.3
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Richard Lugar
This is particularly true of governance. Experience has taught us that no amount of money can overcome corrupt local leaders or the absence of political will for reform. I might add here that one of the most powerful parts of the President's approach is to support the forces of reform in the developing world.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.767
Very Positive
Moderation
Sexual
0.0371218368
OpenAI Moderation v1 (007)
Violence
0.0294043508
OpenAI Moderation v1 (007)
Harassment
0.015272756
OpenAI Moderation v1 (007)
Sexual > Minors
0.0050329363
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036368496
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013798563
OpenAI Moderation v1 (007)
Hate
0.001375964
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004639886
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001773788
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.56279E-5
OpenAI Moderation v1 (007)
Self-Harm
3.39681E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.785
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
57
Gunning-Fog Score
12.4
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Richard Lugar
Every country in the world, whether or not it is the most autocratic, has some force that wishes to change the society and reform it. And the problem frequently is that the reformers feel isolated. They do not have tools. I know already in parliaments in the developing world, this piece of legislation is being used to argue for immediate changes to deal with their problems or they will not be eligible for the MCA. So even in countries that are not MCA eligible, this legislation will have a profound effect on the policy reform process.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.07692
Neutral
Harvard-IV (Absolute)
-0.07692
Neutral
Harvard-IV (Logit)
-0.1431
VADER
-0.818
Very Negative
Moderation
Harassment > Threatening
0.0309023191
OpenAI Moderation v1 (007)
Harassment
0.0168901053
OpenAI Moderation v1 (007)
Violence > Graphic
0.0080792175
OpenAI Moderation v1 (007)
Hate
0.0059528877
OpenAI Moderation v1 (007)
Violence
0.0046588881
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022681499
OpenAI Moderation v1 (007)
Sexual
0.0020714486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007550178
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003173167
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.83324E-5
OpenAI Moderation v1 (007)
Self-Harm
3.26134E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.1
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
63
Magnitude:
0.063
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Politics > Defense
Score:
54
Magnitude:
0.054
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
50.8
Gunning-Fog Score
13.9
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
9.6
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
23
Richard Lugar
It puts a tool in the hands of reformers, the very people we want to support to try to make the changes in their society so that they can get the local policies on their own without us forcing them to do it. And it is a very powerful tool.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.747
Very Positive
Moderation
Sexual
0.0374009309
OpenAI Moderation v1 (007)
Violence
0.004661435
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034006913
OpenAI Moderation v1 (007)
Sexual > Minors
0.0024075616
OpenAI Moderation v1 (007)
Harassment
0.002292239
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012660575
OpenAI Moderation v1 (007)
Self-Harm
0.0001133898
OpenAI Moderation v1 (007)
Hate
9.23287E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.9092E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.29971E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.286E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.144
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Religion and Belief > Christianity > Reformed
Score:
95
Magnitude:
0.137
Code:
12009003
Url:
https://cv.iptc.org/newscodes/subjectcode/12009003
Wikidata_id:
Q101849
Wikidata_label:
Calvinism
Source:
IPTC Subject
Topic:
Politics > Election
Score:
76
Magnitude:
0.109
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
69.8
Gunning-Fog Score
13.2
Coleman-Liau Index
6.2
SMOG Index
11.3
Automated Readability Index
8.7
Dale-Chall Readability Score
3.5
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Richard Lugar
USAID will reorient its assistance programs to take into account the principles driving the MCA. We welcome the MCA as the strongest possible commitment by the administration to making development a core element of our foreign policy. Not only does it embody the right philosophy and approach to development, it also gives USAID the opportunity to clarify its role and better focus its activities within the context of a coordinated strategy.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.73333
Very Positive
Harvard-IV (Absolute)
0.73333
Very Positive
Harvard-IV (Logit)
1.6864
VADER
0.922
Very Positive
Moderation
Sexual
0.0546996773
OpenAI Moderation v1 (007)
Harassment
0.0050966715
OpenAI Moderation v1 (007)
Violence
0.0045299788
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020713716
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006790808
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002526546
OpenAI Moderation v1 (007)
Self-Harm
0.0002213467
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001085282
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.75876E-5
OpenAI Moderation v1 (007)
Hate
5.68948E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0054E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.06
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
89
Magnitude:
0.053
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.5
Gunning-Fog Score
18.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
31
Richard Lugar
Given our strong interest in supporting and complementing the Millennium Challenge Corporation, USAID has been reviewing its portfolio to determine the best way to organize itself both to support the mission and operations of the MCA and to fulfill our mandate to help a wider range of developing countries. In addition to providing support that may be needed in MCC countries, we believe that USAID should focus activities on four broad categories of countries.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.974
Very Positive
Moderation
Sexual
0.049682596
OpenAI Moderation v1 (007)
Violence
0.0215901659
OpenAI Moderation v1 (007)
Violence > Graphic
0.0072028211
OpenAI Moderation v1 (007)
Harassment
0.0025340114
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017479306
OpenAI Moderation v1 (007)
Hate
0.0003431267
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002900054
OpenAI Moderation v1 (007)
Self-Harm
0.0001799931
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.554E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.13893E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.07616E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
30
Richard Lugar
The first is the countries that just miss getting into MCA. There are a number of countries that are just below the requirements in terms of the 16 indicators.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.077
Neutral
Moderation
Sexual
0.020317595
OpenAI Moderation v1 (007)
Violence
0.0032569249
OpenAI Moderation v1 (007)
Sexual > Minors
0.002056721
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007765789
OpenAI Moderation v1 (007)
Harassment
0.0005118535
OpenAI Moderation v1 (007)
Hate
0.0001984298
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001313219
OpenAI Moderation v1 (007)
Hate > Threatening
8.49809E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4466E-6
OpenAI Moderation v1 (007)
Self-Harm
4.5417E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1775E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
75.4
Gunning-Fog Score
8.6
Coleman-Liau Index
10
SMOG Index
9
Automated Readability Index
6.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
7
Richard Lugar
The second are mid-way -- mid-range performers with the will to reform, but that are a little further down in terms of qualifying.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Sexual
0.0073910283
OpenAI Moderation v1 (007)
Violence
0.0018788585
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010275186
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009053971
OpenAI Moderation v1 (007)
Self-Harm
0.0001198358
OpenAI Moderation v1 (007)
Harassment
9.49118E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.11242E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
3.65618E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.13655E-5
OpenAI Moderation v1 (007)
Hate
3.03398E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.38988E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
69.7
Gunning-Fog Score
12.9
Coleman-Liau Index
9.2
SMOG Index
11.3
Automated Readability Index
10.6
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Richard Lugar
The third are failed and failing States that need post- conflict, transition, or humanitarian assistance.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
-0.836
Very Negative
Moderation
Sexual
0.078650529
OpenAI Moderation v1 (007)
Violence
0.0228249308
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054586468
OpenAI Moderation v1 (007)
Harassment
0.0046851575
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031866122
OpenAI Moderation v1 (007)
Hate
0.0016319536
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005175389
OpenAI Moderation v1 (007)
Self-Harm
0.0001269516
OpenAI Moderation v1 (007)
Hate > Threatening
6.77637E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.50685E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.49284E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War
Score:
100
Magnitude:
0.155
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
70
Magnitude:
0.109
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
45
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Richard Lugar
And finally there are countries requiring assistance for strategic national security interests.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.527
Very Positive
Moderation
Violence
0.1440407126
OpenAI Moderation v1 (007)
Sexual
0.0879951578
OpenAI Moderation v1 (007)
Harassment
0.0446230668
OpenAI Moderation v1 (007)
Hate
0.0254389597
OpenAI Moderation v1 (007)
Sexual > Minors
0.0116794756
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068759269
OpenAI Moderation v1 (007)
Harassment > Threatening
0.005847901
OpenAI Moderation v1 (007)
Hate > Threatening
0.0014500946
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001863468
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00014919
OpenAI Moderation v1 (007)
Self-Harm
7.75039E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.119
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.5
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Richard Lugar
For the first group of countries USAID will concentrate on the specific areas that require strengthening for MCA eligibility. For example, if a country is not investing sufficient resources in its people area or achieving good results in this area, USAID would concentrate its programs in that particular sector.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.727
Very Positive
Moderation
Sexual
0.0130304645
OpenAI Moderation v1 (007)
Harassment
0.00855166
OpenAI Moderation v1 (007)
Violence
0.0059616759
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027418613
OpenAI Moderation v1 (007)
Hate
0.0021474643
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012577212
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003378196
OpenAI Moderation v1 (007)
Hate > Threatening
7.59978E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.62256E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.04509E-5
OpenAI Moderation v1 (007)
Self-Harm
8.803E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.054
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
17
Richard Lugar
In the second group of countries that are unlikely MCA candidates in the near future, we will assess the commitment to political and economic reform. Where such a commitment exists, we will concentrate on building local capacity and institutions that can support the foundation of MCA assistance.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.785
Very Positive
Moderation
Harassment
0.0056129968
OpenAI Moderation v1 (007)
Sexual
0.0038746512
OpenAI Moderation v1 (007)
Violence
0.0035567136
OpenAI Moderation v1 (007)
Hate
0.0006360326
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005741117
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005106292
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004659934
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.83588E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.35697E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.37466E-5
OpenAI Moderation v1 (007)
Self-Harm
6.2218E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Local Authority
Score:
100
Magnitude:
0.216
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
31.8
Gunning-Fog Score
18.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
18
Richard Lugar
For those countries that lack such a commitment, we will continue programs that address global issues such as HIV/AIDS and environmental degradation, but will need to review our broader assistance programs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.262
Slightly Negative
Moderation
Harassment
0.0349531387
OpenAI Moderation v1 (007)
Hate
0.0069675021
OpenAI Moderation v1 (007)
Violence
0.0047988149
OpenAI Moderation v1 (007)
Sexual
0.0010952142
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008447882
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006083479
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001186449
OpenAI Moderation v1 (007)
Hate > Threatening
5.11863E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.28885E-5
OpenAI Moderation v1 (007)
Self-Harm
1.95777E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.2992E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease > Aids
Score:
100
Magnitude:
0.429
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Topic:
Health > Disease
Score:
89
Magnitude:
0.381
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.2
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Richard Lugar
In the third category, USAID has responsibility for failed and failing States that do not lend themselves to assistance guided by MCA criteria. We are actively developing new assistance models within this particular category of country that will integrate emergency relief, food assistance, governance reform, and civil society building.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.99853
VADER
-0.586
Very Negative
Moderation
Violence
0.0204798445
OpenAI Moderation v1 (007)
Sexual
0.0074632415
OpenAI Moderation v1 (007)
Harassment
0.0023444405
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012028699
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005373214
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004621925
OpenAI Moderation v1 (007)
Hate
0.0002675486
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001579485
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001267979
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.19154E-5
OpenAI Moderation v1 (007)
Self-Harm
4.31774E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.086
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
83
Magnitude:
0.071
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
12.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
25
Richard Lugar
We have restructured our humanitarian assistance bureau to create a new bureau called Democracy, Conflict and Humanitarian Assistance to put democracy and conflict offices in the same office as Food, Transition Assistance, and the Office of Foreign Disaster Assistance.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
-0.765
Very Negative
Moderation
Harassment
0.0390118425
OpenAI Moderation v1 (007)
Violence
0.0167336038
OpenAI Moderation v1 (007)
Hate
0.0088054025
OpenAI Moderation v1 (007)
Sexual
0.0075294578
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031879772
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006789312
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006210235
OpenAI Moderation v1 (007)
Hate > Threatening
0.000533382
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001041232
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.02311E-5
OpenAI Moderation v1 (007)
Self-Harm
2.44486E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War
Score:
100
Magnitude:
0.211
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
59
Magnitude:
0.124
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Politics (General) > Political Systems
Score:
57
Magnitude:
0.12
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
12
Richard Lugar
In 2004, we have requested over $2 billion for these crisis countries and that is a substantial increase over what we have done in the past.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.25
Slightly Negative
Moderation
Harassment
0.0552397047
OpenAI Moderation v1 (007)
Violence
0.0172221917
OpenAI Moderation v1 (007)
Sexual
0.0093455012
OpenAI Moderation v1 (007)
Hate
0.0036389451
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0026857959
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021134441
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018234496
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017438912
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009810941
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009651851
OpenAI Moderation v1 (007)
Self-Harm
0.0001279141
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
66.6
Gunning-Fog Score
15
Coleman-Liau Index
8.4
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Richard Lugar
Finally, USAID will continue to respond to needs in countries of strategic importance or where there is a transnational threat, recognizing that the primary objectives typically fall under national security and foreign policy and may not produce economic growth or reduce poverty. USAID will work quickly, flexibly, and effectively to achieve our U.S. Government objectives.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.38462
Somewhat Positive
Harvard-IV (Absolute)
0.38462
Somewhat Positive
Harvard-IV (Logit)
0.74721
VADER
0.234
Slightly Positive
Moderation
Violence
0.0317611994
OpenAI Moderation v1 (007)
Sexual
0.0107059241
OpenAI Moderation v1 (007)
Harassment
0.0029023486
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019662986
OpenAI Moderation v1 (007)
Hate
0.0006922188
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006514472
OpenAI Moderation v1 (007)
Sexual > Minors
0.000493891
OpenAI Moderation v1 (007)
Hate > Threatening
7.65004E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.913E-7
OpenAI Moderation v1 (007)
Self-Harm
8.134E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.614E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.076
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Defense > National Security
Score:
95
Magnitude:
0.072
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
71
Magnitude:
0.054
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
70
Magnitude:
0.053
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.5
Gunning-Fog Score
17.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.8
Dale-Chall Readability Score
7.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
25
Richard Lugar
Finally MCC programs will be founded on a partnership and driven by country demand. We stand ready to adapt our programs to support the MCC.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.19722
VADER
0.572
Very Positive
Moderation
Sexual
0.0425972248
OpenAI Moderation v1 (007)
Violence
0.0294389058
OpenAI Moderation v1 (007)
Violence > Graphic
0.0152592023
OpenAI Moderation v1 (007)
Harassment
0.0151988381
OpenAI Moderation v1 (007)
Hate
0.0064312859
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021616603
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017819901
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004401856
OpenAI Moderation v1 (007)
Self-Harm
2.64833E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.55637E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.11933E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
6.6
Coleman-Liau Index
11
SMOG Index
9
Automated Readability Index
6.3
Dale-Chall Readability Score
6.3
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Richard Lugar
If a country selected for MCC funding has a USAID mission and program, we would undertake a strategic review of the existing portfolio of projects. In many cases, we would see the USAID program transition to support the MCC contract specifically.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.402
Positive
Moderation
Sexual
0.0334088079
OpenAI Moderation v1 (007)
Violence
0.032076519
OpenAI Moderation v1 (007)
Harassment
0.007117194
OpenAI Moderation v1 (007)
Sexual > Minors
0.0029529738
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027785254
OpenAI Moderation v1 (007)
Hate
0.0020242869
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016774544
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001659157
OpenAI Moderation v1 (007)
Self-Harm
5.12097E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.35124E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.04739E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.5
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
16
Richard Lugar
However, there are critical global and regional threats, such as HIV/AIDS that would warrant continued support as they are. One of the ways that USAID will complement the MCC is that we have the ability to address regional issues, such as disease, water resources through watershed management, transport linkages, or regional trade capacity building measures.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
-0.026
Neutral
Moderation
Sexual
0.036300614
OpenAI Moderation v1 (007)
Violence
0.0355592143
OpenAI Moderation v1 (007)
Harassment
0.0139961063
OpenAI Moderation v1 (007)
Violence > Graphic
0.0101081539
OpenAI Moderation v1 (007)
Hate
0.0021559021
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020432961
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007265453
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003185915
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7079E-5
OpenAI Moderation v1 (007)
Self-Harm
7.57905E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.47833E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.185
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
55
Magnitude:
0.102
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
26
Richard Lugar
Thus the point I would like to leave with the committee is that USAID will not adopt a black or white approach on how we will relate to the MCC in every country; rather we think each country will be reviewed on a case-by-case basis.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.272
Slightly Positive
Moderation
Harassment
0.0301725522
OpenAI Moderation v1 (007)
Violence
0.0265469367
OpenAI Moderation v1 (007)
Sexual
0.0081971601
OpenAI Moderation v1 (007)
Hate
0.0034851932
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020769437
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007271449
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007076402
OpenAI Moderation v1 (007)
Hate > Threatening
0.000453823
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001440884
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.54812E-5
OpenAI Moderation v1 (007)
Self-Harm
2.99788E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.3
Gunning-Fog Score
19
Coleman-Liau Index
7.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Richard Lugar
Mr. Chairman, I believe that President Bush's vision for assisting the developing world as embodied in the MCA creates a unique opportunity to prove that development done right can work. We urge the passage of the legislation. This concludes my testimony. I will be glad to answer questions.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.836
Very Positive
Moderation
Violence
0.065641565
OpenAI Moderation v1 (007)
Sexual
0.0262154324
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074892421
OpenAI Moderation v1 (007)
Harassment
0.002905015
OpenAI Moderation v1 (007)
Sexual > Minors
0.002183077
OpenAI Moderation v1 (007)
Hate
0.0014223434
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011136297
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009151798
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005143353
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003930473
OpenAI Moderation v1 (007)
Self-Harm
7.1645E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.074
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
87
Magnitude:
0.064
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Laws
Score:
81
Magnitude:
0.059
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
10.9
Automated Readability Index
6.6
Dale-Chall Readability Score
6.4
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Richard Lugar
Thank you very much, sir.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0022186859
OpenAI Moderation v1 (007)
Sexual
0.0020826321
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010018258
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006031396
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004547037
OpenAI Moderation v1 (007)
Harassment
0.000409668
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001489446
OpenAI Moderation v1 (007)
Hate
5.76802E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.11645E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1028E-5
OpenAI Moderation v1 (007)
Self-Harm
8.6991E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.5
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
6.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Note
[The prepared statement of Mr. Natsios follows:] Prepared Statement of Hon. Andrew S. Natsios, Administrator, U.S. Agency for International Development (USAID) Thank you Mr. Chairman and Members of the Committee for holding this important hearing on the Millennium Challenge Account (MCA) in such a timely fashion. We look forward to continued close cooperation with you and your committee as we move ahead to establish what I believe is a revolutionary new development initiative.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.572
Very Positive
Moderation
Violence
0.0405153929
OpenAI Moderation v1 (007)
Harassment
0.0092879753
OpenAI Moderation v1 (007)
Sexual
0.0023295284
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022035543
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019846801
OpenAI Moderation v1 (007)
Hate
0.0016689781
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004524471
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003180151
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.3452E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2381E-6
OpenAI Moderation v1 (007)
Self-Harm
1.2839E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
100
Magnitude:
0.081
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Fashion
Score:
97
Magnitude:
0.079
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Trials
Score:
72
Magnitude:
0.059
Code:
2008000
Url:
https://cv.iptc.org/newscodes/subjectcode/02008000
Wikidata_id:
Q8016240
Wikidata_label:
trial
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.3
Flesch-Kincaid Ease
38
Gunning-Fog Score
10.4
Coleman-Liau Index
12
SMOG Index
11.9
Automated Readability Index
8.2
Dale-Chall Readability Score
6.4
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
29
Richard Lugar
I would like to thank Under Secretary Larson and Under Secretary Taylor for the excellent summary of the evolution of the MCA and analysis of key issues and philosophy that stimulated the initiative. I will focus my remarks on three key areas: (1) how the experience of USAID and other development institutions has shaped the MCA; (2) how we see the MCA complementing the work of USAID and refocusing USAID priorities; and (3) our vision for how the MCA will be implemented in the field.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.70805
VADER
0.891
Very Positive
Moderation
Harassment
0.0207936217
OpenAI Moderation v1 (007)
Violence
0.0159038769
OpenAI Moderation v1 (007)
Sexual
0.0112958078
OpenAI Moderation v1 (007)
Hate
0.0045489436
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004073558
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013356964
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005155257
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001758107
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.04339E-5
OpenAI Moderation v1 (007)
Self-Harm
1.3472E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.13628E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.4
Gunning-Fog Score
19
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
25
Richard Lugar
I would like to preface my remarks by underscoring two points made by Under Secretary Larson. The first point is that the process for developing the framework for the MCA and the legislation has truly been a model of interagency coordination. Thanks to the active involvement of key departments and agencies, we were able to coalesce the comparative advantages of those parts of the government already deeply involved in bilateral and multilateral assistance programs. The State Department coordinated outreach with key international and domestic constituencies; the Treasury Department, which has responsibility for the multilateral development banks, played a central role in developing the indicators; USAID, based on its extensive field experience, offered ideas and proposals on the framework and implementation of the MCA. Together, our ideas have been drawn on, and in many cases adopted, as fundamental principles of the proposed new account.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.17007
VADER
0.95
Very Positive
Moderation
Violence
0.0921847648
OpenAI Moderation v1 (007)
Harassment
0.0298309227
OpenAI Moderation v1 (007)
Violence > Graphic
0.0157466435
OpenAI Moderation v1 (007)
Hate
0.0151452521
OpenAI Moderation v1 (007)
Sexual
0.0117710471
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012074661
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006605119
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002402342
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.30118E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.43398E-5
OpenAI Moderation v1 (007)
Self-Harm
4.9792E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Foreign Aid
Score:
100
Magnitude:
0.207
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Laws
Score:
53
Magnitude:
0.11
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
15.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
56
Sprache Difficult Word Count
54
Richard Lugar
I would also like to underscore the point that we need to see the MCA as only one piece of an unprecedented and concerted commitment of President Bush to increase and improve the effectiveness of foreign assistance. It began with his efforts to forge a new international consensus on development at the Monterrey Financing for Development Conference a year ago and the proposal for the MCA. At the heart of that consensus is that the donor countries will work to mobilize more money for development, while developing countries take more responsibility for creating a sound policy environment. Last month the President submitted a budget to Congress requesting a dramatic increase in the 150 account of development and humanitarian assistance from $7.7 billion in Fiscal Year 2002 to over $18 billion by Fiscal Year 2008. Much of that increase will go toward urgent crises, such as stemming the global HIV/AIDs pandemic. But it also includes as much as $20 billion for MCA, beginning with $1.3 billion in Fiscal Year 2004 and stabilizing at $5 billion per year by Fiscal Year 2006. It is clear that this Administration has taken development off the back burner and placed it squarely at the forefront of our foreign policy.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.58333
Very Positive
Harvard-IV (Absolute)
0.58333
Very Positive
Harvard-IV (Logit)
1.26567
VADER
0.972
Very Positive
Moderation
Violence
0.1654765918
OpenAI Moderation v1 (007)
Violence > Graphic
0.1165881404
OpenAI Moderation v1 (007)
Harassment
0.0099397635
OpenAI Moderation v1 (007)
Sexual
0.0077410812
OpenAI Moderation v1 (007)
Hate
0.0017843317
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004948155
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004941228
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001837225
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.77634E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2155E-5
OpenAI Moderation v1 (007)
Self-Harm
6.2999E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Finance (General) > Money and Monetary Policy
Score:
100
Magnitude:
0.675
Code:
4019001
Url:
https://cv.iptc.org/newscodes/subjectcode/04019001
Wikidata_id:
Q178476
Wikidata_label:
monetary policy
Source:
IPTC Subject
Topic:
Politics > Foreign Aid
Score:
74
Magnitude:
0.502
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.7
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
68
Sprache Difficult Word Count
56
Richard Lugar
From the perspective of USAID, the MCA is a welcome and bold initiative that will complement and provide a model for our mission. We see USAID's role as key in the President's all-out campaign to attack the scourge of poverty by stimulating economic growth, promoting democracy and investing in people. But USAID is only one piece of what is now becoming a more coherent and coordinated United States development strategy. For the first time, we have the opportunity to articulate and implement a U.S. strategy that clearly and accurately defines our different challenges and matches the right tools to address them. MCA will play a critical role in this process as we begin to redefine U.S. development assistance to address the very different challenges we face today. the roots of the mca
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.38566
VADER
0.938
Very Positive
Moderation
Violence
0.1796404715
OpenAI Moderation v1 (007)
Hate
0.0309705967
OpenAI Moderation v1 (007)
Violence > Graphic
0.024523359
OpenAI Moderation v1 (007)
Harassment
0.0216217886
OpenAI Moderation v1 (007)
Sexual
0.0146379636
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006414265
OpenAI Moderation v1 (007)
Hate > Threatening
0.000490882
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002171098
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.06226E-5
OpenAI Moderation v1 (007)
Self-Harm
1.00302E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6183E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General) > Political Systems
Score:
100
Magnitude:
0.08
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
90
Magnitude:
0.072
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
82
Magnitude:
0.066
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
80
Magnitude:
0.064
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Fashion
Score:
70
Magnitude:
0.056
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Politics
Score:
69
Magnitude:
0.055
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
64
Magnitude:
0.051
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
50.3
Gunning-Fog Score
13.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
45
Sprache Difficult Word Count
45
Richard Lugar
The MCA symbolizes a dramatic turning point, both in putting into practice what we know works in development and in elevating development as a fundamental aspect of our foreign policy. As both Under Secretaries Larson and Taylor suggested, the MCA is the direct outgrowth of what USAID and other development actors have learned over the past fifty years. We not only have considerable first-hand experience about what has worked and what hasn't, but we also have the benefit of considerable recent analysis by the World Bank and leading analysts that support this experience. Put simply, economic development assistance in poor countries works best when you are pursuing good policies that are conducive to growth. We know that good governance, policies and institutions are key; real country ownership is also essential. And we know that performance must be measured using rigorous and unbiased indicators. These are the foundations for the MCA.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.68
Very Positive
Harvard-IV (Absolute)
0.68
Very Positive
Harvard-IV (Logit)
1.56398
VADER
0.961
Very Positive
Moderation
Violence
0.0122990707
OpenAI Moderation v1 (007)
Sexual
0.0063109743
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024757612
OpenAI Moderation v1 (007)
Harassment
0.00159554
OpenAI Moderation v1 (007)
Hate
0.0010417525
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009313131
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004891609
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003014943
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000154977
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.02469E-5
OpenAI Moderation v1 (007)
Self-Harm
3.58832E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Finance (General) > Money and Monetary Policy
Score:
100
Magnitude:
0.271
Code:
4019001
Url:
https://cv.iptc.org/newscodes/subjectcode/04019001
Wikidata_id:
Q178476
Wikidata_label:
monetary policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
87
Magnitude:
0.235
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
82
Magnitude:
0.223
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
53
Magnitude:
0.143
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.5
Gunning-Fog Score
16.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
53
Sprache Difficult Word Count
48
Richard Lugar
A recent World Bank paper summarizes the key themes of what has become a consensus among development specialists worldwide: "The collective record of the past yields three main lessons. First, good development outcomes require good policies and institutions. Second, if development progress is to be sustained, the underlying policies and institutions must be country-owned and country-specific. Third, when these conditions are in place, development assistance can be highly effective." The MCA criteria of good governance, economic freedom, and sound investments in people are indicative of the policies and institutions that determine a country's development success.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.971
Very Positive
Moderation
Sexual
0.0070252529
OpenAI Moderation v1 (007)
Violence
0.0048302511
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010243165
OpenAI Moderation v1 (007)
Sexual > Minors
0.00096399
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006030349
OpenAI Moderation v1 (007)
Harassment
0.0006023527
OpenAI Moderation v1 (007)
Hate
0.0003741139
OpenAI Moderation v1 (007)
Violence > Graphic
0.000333958
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001917761
OpenAI Moderation v1 (007)
Self-Harm
6.94943E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.32526E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.417
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Finance (General) > Money and Monetary Policy
Score:
100
Magnitude:
0.417
Code:
4019001
Url:
https://cv.iptc.org/newscodes/subjectcode/04019001
Wikidata_id:
Q178476
Wikidata_label:
monetary policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.3
Gunning-Fog Score
18.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
35
Richard Lugar
We know that money will not solve the problem of bad policy. The fact that it is not the quantity of aid that counts, but the quality, was at the heart of the debate in Monterrey. We know that throwing money at the problem, or meeting "ODA quotas" is not the answer. The MCA also recognizes that foreign aid can, at best, play a supporting role in a country's development; a country's commitment to help itself is the primary determinant of success. We know that private capital flows far outweigh development assistance, and that in the age of globalization, developing countries can undertake reforms that value private trade and investment for development.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.80235
VADER
0.985
Very Positive
Moderation
Violence
0.0196208654
OpenAI Moderation v1 (007)
Violence > Graphic
0.0096265117
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047724912
OpenAI Moderation v1 (007)
Hate
0.0040216924
OpenAI Moderation v1 (007)
Sexual
0.0031796546
OpenAI Moderation v1 (007)
Harassment
0.0026997142
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019878586
OpenAI Moderation v1 (007)
Hate > Threatening
0.000211361
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000112281
OpenAI Moderation v1 (007)
Self-Harm
1.4325E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.616E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > International (Foreign) Trade
Score:
100
Magnitude:
0.361
Code:
4008011
Url:
https://cv.iptc.org/newscodes/subjectcode/04008011
Wikidata_id:
Q178803
Wikidata_label:
international trade
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.9
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
37
Richard Lugar
We believe a key aspect of persuading countries to improve their policies or institutions is to provide the right incentives. This is why USAID actively promotes the principles of rewarding performance rather than promises, rewarding good governance, establishing local ownership, civil society and private investor participation, and streamlining the assistance delivery process, all of which are reflected in the MCA.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.965
Very Positive
Moderation
Sexual
0.0034594013
OpenAI Moderation v1 (007)
Violence
0.002562754
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012046147
OpenAI Moderation v1 (007)
Hate
0.0001839225
OpenAI Moderation v1 (007)
Harassment
0.0001772345
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001563117
OpenAI Moderation v1 (007)
Harassment > Threatening
7.70374E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.54302E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.05756E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.43494E-5
OpenAI Moderation v1 (007)
Self-Harm
6.458E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.131
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Election
Score:
56
Magnitude:
0.073
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
8.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
29
Richard Lugar
I want to highlight in particular the critical importance of governance. The emphasis on governance in the MCA reflects a fundamental lesson we have learned through hard experience; no amount of money from afar can compensate for or overcome corrupt local leaders or the absence of political will. Overcoming poverty and fostering growth requires governments to become more transparent, inclusive, lawful and responsible to their citizens. Money can't buy this commitment or these kinds of reforms. There needs to be the will to actually pursue these goals. These kinds of reforms, however, can be supported, encouraged and even reinforced by rewards for governments that are moving in this direction. Good performers should be tangibly rewarded with increased development assistance from the international community, incentives for foreign investment, and trade liberalization. Democratic, accountable governance with responsible economic policies should bring immediate and sustained benefits.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.44238
VADER
0.96
Very Positive
Moderation
Violence
0.0087643966
OpenAI Moderation v1 (007)
Sexual
0.0026304808
OpenAI Moderation v1 (007)
Hate
0.0003614998
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002802516
OpenAI Moderation v1 (007)
Harassment
0.0002542657
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001776805
OpenAI Moderation v1 (007)
Sexual > Minors
8.22223E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7766E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.77986E-5
OpenAI Moderation v1 (007)
Self-Harm
2.62103E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.3207E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > International (Foreign) Trade
Score:
100
Magnitude:
0.408
Code:
4008011
Url:
https://cv.iptc.org/newscodes/subjectcode/04008011
Wikidata_id:
Q178803
Wikidata_label:
international trade
Source:
IPTC Subject
Topic:
Politics > Local Authority
Score:
96
Magnitude:
0.39
Code:
11008000
Url:
https://cv.iptc.org/newscodes/subjectcode/11008000
Wikidata_id:
Q6501447
Wikidata_label:
local government
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
63
Magnitude:
0.258
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
55
Sprache Difficult Word Count
62
Richard Lugar
But actually linking aid to development performance is a radical step. This is one of the reasons why MCA marks a revolution in foreign assistance. Because MCA countries and institutions will have demonstrated capacity to achieve results, the new Millennium Challenge Corporation (MCC) will be able to employ a new way of doing business that relies on host country institutions to manage development activities. relationship to usaid
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.077
Neutral
Moderation
Violence
0.0205540826
OpenAI Moderation v1 (007)
Sexual
0.0027226111
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016226653
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009472853
OpenAI Moderation v1 (007)
Harassment
0.0005067154
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005054432
OpenAI Moderation v1 (007)
Hate
0.0002664153
OpenAI Moderation v1 (007)
Hate > Threatening
0.000106773
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.00876E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6585E-6
OpenAI Moderation v1 (007)
Self-Harm
8.359E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
100
Magnitude:
0.05
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.7
Gunning-Fog Score
14.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
29
Richard Lugar
The revolution does not stop with the MCA. It has just begun. The themes of the critical importance of governance and country ownership, the emphasis on performance and accountability, must infuse all of our development assistance. That is why, working under the inspired leadership of Secretary Powell, we initiated a series of reforms at USAID two years ago. We knew that the major changes of the past decades had dramatically altered the landscape for development and that we needed a new direction for U.S. foreign assistance, and hence produced the recent report, Foreign Aid in the National Interest. We took up the challenge of drawing these lessons together to begin to formulate the outline for a new framework for U.S. foreign assistance.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
-0.06667
Neutral
Harvard-IV (Absolute)
-0.06667
Neutral
Harvard-IV (Logit)
-0.12516
VADER
0.794
Very Positive
Moderation
Violence
0.0055095155
OpenAI Moderation v1 (007)
Sexual
0.0028894045
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019051144
OpenAI Moderation v1 (007)
Harassment
0.0018200863
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010309403
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010078631
OpenAI Moderation v1 (007)
Hate
0.0003220415
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001742819
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.94782E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.45064E-5
OpenAI Moderation v1 (007)
Self-Harm
5.2809E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.194
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
65
Magnitude:
0.126
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
51.7
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
11.9
Automated Readability Index
8
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
43
Richard Lugar
We had already begun making some of the changes in USAID suggested by the report, incorporating lessons learned, such as making governance an essential crosscutting theme, and adopting strategic budgeting approaches as we reorient ourselves and adapt to the current challenges. USAID, however, is only one piece of the picture of USG foreign assistance. As you well know there are numerous U.S. departments and agencies -- the State Department, the Treasury Department, the Department of Defense, the Peace Corps, to name only a few -- that all have different roles and objectives in providing assistance. Putting these different pieces all together, many of them with very diverse mandates, is no small task. Indeed, the MCA is the cornerstone of putting America's foreign aid back in order: renewing the focus on economic growth, integrating the nation's foreign affairs expertise, and mobilizing new resources for development.
Sentiment
Loughran McDonald (Relative)
-0.6
Very Negative
Loughran McDonald (Absolute)
-0.6
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.66648
VADER
0.823
Very Positive
Moderation
Sexual
0.0778585556
OpenAI Moderation v1 (007)
Violence
0.0461318617
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0155120026
OpenAI Moderation v1 (007)
Harassment
0.0097059397
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039259681
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020758269
OpenAI Moderation v1 (007)
Hate
0.0009852178
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004338921
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001945536
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.94474E-5
OpenAI Moderation v1 (007)
Self-Harm
1.96591E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.151
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Diplomacy > International Relations
Score:
74
Magnitude:
0.112
Code:
11002002
Url:
https://cv.iptc.org/newscodes/subjectcode/11002002
Wikidata_id:
Q166542
Wikidata_label:
international relations
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
49
Sprache Difficult Word Count
55
Richard Lugar
This is why the MCA, which has boldly and forcefully articulated a new vision for development -- with the resources to support it -- has such a critical role to play in stimulating and focusing the debate on foreign assistance. Not only is it driving the debate in the United States, but it has also grabbed the attention of our international colleagues, who are all watching the progress of the MCA with great interest. It presents all of us who care about development with both a strong challenge and a historic opportunity. It gives us a clean slate to make the case to the American public and the international community that development is critical to global stability and that it can work.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.30769
Somewhat Positive
Harvard-IV (Absolute)
0.30769
Somewhat Positive
Harvard-IV (Logit)
0.61091
VADER
0.988
Very Positive
Moderation
Violence
0.0211391161
OpenAI Moderation v1 (007)
Sexual
0.0172109809
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048513986
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021788175
OpenAI Moderation v1 (007)
Harassment
0.0021264737
OpenAI Moderation v1 (007)
Hate
0.0006535505
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005245807
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.30851E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.36436E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.54266E-5
OpenAI Moderation v1 (007)
Self-Harm
1.80701E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Foreign Aid
Score:
100
Magnitude:
0.226
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.8
Gunning-Fog Score
18.7
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
38
Sprache Difficult Word Count
33
Richard Lugar
To those who have questioned whether USA]D feels threatened by the MCA, I would answer, to the contrary. We welcome the MCA as the strongest possible commitment by the Administration to making development a core element of our foreign policy. Not only does it embody the right philosophy and approach to development and potentially provide a model for development, but it also gives USAID the opportunity to claify its role and better focus its activities within the context of a coordinated U.S. development strategy.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.8473
VADER
0.878
Very Positive
Moderation
Violence
0.0035834055
OpenAI Moderation v1 (007)
Sexual
0.0025306041
OpenAI Moderation v1 (007)
Hate
0.0006705756
OpenAI Moderation v1 (007)
Harassment
0.0005916426
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004884234
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002276719
OpenAI Moderation v1 (007)
Sexual > Minors
6.76404E-5
OpenAI Moderation v1 (007)
Self-Harm
6.55846E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.18811E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.22777E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.2932E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.077
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
99
Magnitude:
0.076
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Religion and Belief > Philosophy
Score:
88
Magnitude:
0.067
Code:
12008000
Url:
https://cv.iptc.org/newscodes/subjectcode/12008000
Wikidata_id:
Q5891
Wikidata_label:
philosophy
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
72
Magnitude:
0.056
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Science and Technology > Philosophical Science
Score:
72
Magnitude:
0.055
Code:
13005000
Url:
https://cv.iptc.org/newscodes/subjectcode/13005000
Wikidata_id:
Q5891
Wikidata_label:
philosophy
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Fashion
Score:
70
Magnitude:
0.053
Code:
1007000
Url:
https://cv.iptc.org/newscodes/subjectcode/01007000
Wikidata_id:
Q12684
Wikidata_label:
fashion
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
68
Magnitude:
0.052
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.3
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
7.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
33
Richard Lugar
We view the MCA as our leading edge, targeted on spurring growth in the best performing poorest countries, providing the level of resources that can really make a difference in moving them to a higher growth trajectory. It will rely on country institutions -- investors, business people, political leaders and civil society -- to design and lead the economic growth of the country. But MCA, due to its strict criteria, will only assist a limited number of countries. That leaves the large majority of the developing world to USAID and other agencies and actors.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.785
Very Positive
Moderation
Violence
0.0129824795
OpenAI Moderation v1 (007)
Harassment
0.0020820464
OpenAI Moderation v1 (007)
Hate
0.0010367465
OpenAI Moderation v1 (007)
Sexual
0.0010215061
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005483597
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003959688
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002331579
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000187625
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.67408E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.13922E-5
OpenAI Moderation v1 (007)
Self-Harm
8.9262E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War > Civil Unrest
Score:
100
Magnitude:
0.212
Code:
16003000
Url:
https://cv.iptc.org/newscodes/subjectcode/16003000
Wikidata_id:
Q686984
Wikidata_label:
civil disorder
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Movies
Score:
56
Magnitude:
0.119
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.2
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
37
Richard Lugar
Given our strong interest in supporting and complementing the Millennium Challenge Corporation, USAID has been reviewing its portfolio to determine the best way to organize itself both to support the mission and operations of the MCC and to fulfill our mandate to help a wider range of developing countries. In addition to providing support that may be needed in MCA countries, we believe that USAID should focus activities on four broad groups of countries: (1) countries that just miss getting into the MCA; (2) the mid-range performers with the will to reform; (3) failed or failing states that need post-conflict, transition or humanitarian assistance; and (4) countries requiring assistance for strategic national security interests.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
0.36364
Somewhat Positive
Harvard-IV (Absolute)
0.36364
Somewhat Positive
Harvard-IV (Logit)
0.72594
VADER
0.963
Very Positive
Moderation
Sexual
0.0218943809
OpenAI Moderation v1 (007)
Hate
0.0034822697
OpenAI Moderation v1 (007)
Violence
0.0024179619
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009893935
OpenAI Moderation v1 (007)
Violence > Graphic
0.000976038
OpenAI Moderation v1 (007)
Harassment
0.0005548648
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004972413
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000194544
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000118471
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.16806E-5
OpenAI Moderation v1 (007)
Self-Harm
1.93608E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.079
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
81
Magnitude:
0.065
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Politics > Election
Score:
80
Magnitude:
0.064
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Sport > Basketball
Score:
77
Magnitude:
0.061
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.6
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
46
Sprache Difficult Word Count
46
Richard Lugar
I would like to highlight our belief that the central objective of focusing on performance, particularly responsible governance, and focusing on good performers must infuse all our development efforts -- not just the MCA -- and those of other bilateral and multilateral donors as well. This is the way that MCC can serve as a model for all of our assistance programs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.888
Very Positive
Moderation
Sexual
0.0291166478
OpenAI Moderation v1 (007)
Violence
0.0077760174
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068282665
OpenAI Moderation v1 (007)
Harassment
0.0032625856
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028261795
OpenAI Moderation v1 (007)
Hate
0.001770919
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013653697
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003855569
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.91792E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.11419E-5
OpenAI Moderation v1 (007)
Self-Harm
4.08967E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
22
Richard Lugar
In the first group of countries, USAID will concentrate on the specific areas needed to help a country become eligible for MCC funds. For example, if a country just missed on the investing in people area, USAID would concentrate its programs in that area to help it qualify for MCC funds in a future round. In the second group of countries which are unlikely MCA candidates in the near term, we will need to assess the commitment to political and economic reform.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.7
Very Positive
Moderation
Violence
0.0367132161
OpenAI Moderation v1 (007)
Sexual
0.0131682114
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054742279
OpenAI Moderation v1 (007)
Harassment
0.0047629022
OpenAI Moderation v1 (007)
Hate
0.0031046351
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027376629
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008328031
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006980492
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0172E-6
OpenAI Moderation v1 (007)
Self-Harm
3.6187E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6161E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.1
Gunning-Fog Score
16.8
Coleman-Liau Index
11.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
23
Richard Lugar
Where such a commitment exists, we will concentrate on building local capacity and institutions that can support the foundation of MCA assistance, i.e., ruling justly, promoting economic freedom, and investing in people. For those countries that lack such a commitment, we will continue programs that address global issues such as HIV/AIDS and environmental degradation, but will need to review broader development assistance. We are already beginning this process of applying an MCA lens to our country programs, informing resource decisions with analysis of democracy and sound governance.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
0.606
Very Positive
Moderation
Sexual
0.0373777642
OpenAI Moderation v1 (007)
Violence
0.0108085733
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048697213
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004156668
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026003763
OpenAI Moderation v1 (007)
Harassment
0.0018665982
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012989663
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004231545
OpenAI Moderation v1 (007)
Hate
0.0002078422
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.23503E-5
OpenAI Moderation v1 (007)
Self-Harm
6.90976E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.13
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
98
Magnitude:
0.127
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Topic:
Politics > Election
Score:
62
Magnitude:
0.081
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Environmental Issue > Nature
Score:
53
Magnitude:
0.069
Code:
6007000
Url:
https://cv.iptc.org/newscodes/subjectcode/06007000
Wikidata_id:
Q7860
Wikidata_label:
nature
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.9
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
39
Sprache Difficult Word Count
39
Richard Lugar
In the third group USAID has responsibility for countries and situations that do not lend themselves to assistance guided by MCC criteria, such as in failing, failed and conflict states. As the National Security Strategy states, "America is now threatened less by conquering states than we are by failing ones." Fully two-thirds of the countries where USAID works have suffered violent conflicts within the last five years. We know that conflict is complex and that interventions must focus on multiple dimensions. We are actively developing new assistance models that will integrate emergency relief and food with transitional assistance, governance investments and civil society building. We must approach these states with targeted, flexible support that emphasizes conflict prevention and the nesting of short, medium and long-term issues in our program designs.
Sentiment
Loughran McDonald (Relative)
-0.83333
Very Negative
Loughran McDonald (Absolute)
-0.83333
Very Negative
Loughran McDonald (Logit)
-2.03688
Harvard-IV (Relative)
0.03704
Neutral
Harvard-IV (Absolute)
0.03704
Neutral
Harvard-IV (Logit)
0.07146
VADER
-0.962
Very Negative
Moderation
Violence
0.4287949298
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0484805612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0063061016
OpenAI Moderation v1 (007)
Harassment
0.0050352839
OpenAI Moderation v1 (007)
Sexual
0.0036505437
OpenAI Moderation v1 (007)
Hate > Threatening
0.0012106541
OpenAI Moderation v1 (007)
Hate
0.0011143861
OpenAI Moderation v1 (007)
Self-Harm
7.63666E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.2893E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.16501E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5651E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War
Score:
100
Magnitude:
0.27
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Health > Healthcare Policy
Score:
55
Magnitude:
0.148
Code:
7013000
Url:
https://cv.iptc.org/newscodes/subjectcode/07013000
Wikidata_id:
Q1519812
Wikidata_label:
health policy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.1
Gunning-Fog Score
16.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
55
Sprache Difficult Word Count
53
Richard Lugar
Humanitarian assistance also remains central to USAID's portfolio. Originally designed to respond to natural disasters, humanitarian interventions are increasingly necessitated by complex emergencies caused by conflict, failed and failing states. We restructured our humanitarian assistance to create a new Bureau of Democracy, Conflict and Humanitarian Assistance to make sure that democracy and conflict are at the heart of our response to failing states, We have also increased our funding levels. Recognizing the need for greater flexibility in responding to humanitarian emergencies and failing states, the President requested a new contingency fund to facilitate the quick response that is critical in emergencies.
Sentiment
Loughran McDonald (Relative)
-0.81818
Very Negative
Loughran McDonald (Absolute)
-0.81818
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.0625
Neutral
Harvard-IV (Absolute)
0.0625
Neutral
Harvard-IV (Logit)
0.12136
VADER
-0.836
Very Negative
Moderation
Harassment
0.245129806
OpenAI Moderation v1 (007)
Violence
0.0231795144
OpenAI Moderation v1 (007)
Hate
0.0195943925
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0166039739
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064436186
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050237533
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0029704483
OpenAI Moderation v1 (007)
Sexual
0.001023712
OpenAI Moderation v1 (007)
Self-Harm
0.0006604458
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005659558
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002005543
OpenAI Moderation v1 (007)
Topics
Topic:
Unrest, Conflicts and War
Score:
100
Magnitude:
0.274
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Disaster and Accident > Disaster (General) > Natural Disasters
Score:
68
Magnitude:
0.185
Code:
3015001
Url:
https://cv.iptc.org/newscodes/subjectcode/03015001
Wikidata_id:
Q8065
Wikidata_label:
natural disaster
Source:
IPTC Subject
Topic:
Disaster and Accident > Emergency Incident
Score:
67
Magnitude:
0.183
Code:
3014000
Url:
https://cv.iptc.org/newscodes/subjectcode/03014000
Wikidata_id:
Q5070802
Wikidata_label:
emergency
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
50
Sprache Difficult Word Count
40
Richard Lugar
Finally, USAID will continue to respond to needs in countries of strategic national importance or transnational threats recognizing that the primary objectives typically fall under national security and foreign policy more than development. These political challenges will continue to arise, frequently related to the war against terrorism. As much as possible they are funded out of Economic Support Funds (ESF) or other assistance. USAID will work quickly, flexibly, and effectively to achieve overall U.S. Government objectives.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.58779
Harvard-IV (Relative)
0.36842
Somewhat Positive
Harvard-IV (Absolute)
0.36842
Somewhat Positive
Harvard-IV (Logit)
0.73089
VADER
-0.052
Neutral
Moderation
Harassment
0.0197021887
OpenAI Moderation v1 (007)
Violence
0.0146730818
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028718316
OpenAI Moderation v1 (007)
Hate
0.0018130044
OpenAI Moderation v1 (007)
Sexual
0.0012805926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006530228
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003373154
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002121425
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.25135E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.54749E-5
OpenAI Moderation v1 (007)
Self-Harm
1.25355E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense > National Security
Score:
100
Magnitude:
0.167
Code:
11001002
Url:
https://cv.iptc.org/newscodes/subjectcode/11001002
Wikidata_id:
Q258307
Wikidata_label:
national security
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
58
Magnitude:
0.097
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
51
Magnitude:
0.086
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
22.4
Gunning-Fog Score
18.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
35
Richard Lugar
In addition to adapting our programs to support and complement the MCC, there are of course other ways that we will be working closely with the MCC. Foremost will be detailing staff to the Corporation. We view the long experience of USAID's development professionals as an invaluable asset to the new corporation. As I will outline below, we also envision that USAID support to the MCC in the field will be required, given the lean staffing currently envisioned.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.785
Very Positive
Moderation
Harassment
0.305100088
OpenAI Moderation v1 (007)
Hate
0.0105011975
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043322092
OpenAI Moderation v1 (007)
Violence > Graphic
0.0035963836
OpenAI Moderation v1 (007)
Violence
0.0013279792
OpenAI Moderation v1 (007)
Sexual
0.001200713
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005069735
OpenAI Moderation v1 (007)
Self-Harm
0.0002050239
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001728583
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001209079
OpenAI Moderation v1 (007)
Hate > Threatening
1.92778E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
49.3
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
29
Richard Lugar
On the broadest policy and programmatic level, I expect to coordinate closely with the CEO of the MCC, given our complementary roles. This will be paralleled by coordination on a programmatic level. While some have questioned whether the establishment of the MCC doesn't complicate our development efforts, I would suggest that today's reality is already a complicated one. There are many actors involved in development. The addition of the MCC, which brings such significant and welcome new resources applied to the best development practices, has the opportunity to bring greater strategic focus to our entire development framework. implementation
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.38462
Somewhat Positive
Harvard-IV (Absolute)
0.38462
Somewhat Positive
Harvard-IV (Logit)
0.74721
VADER
0.917
Very Positive
Moderation
Harassment
0.0281646295
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0069096663
OpenAI Moderation v1 (007)
Violence
0.0045150307
OpenAI Moderation v1 (007)
Sexual
0.003362288
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027506663
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010092048
OpenAI Moderation v1 (007)
Hate
0.0010043647
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0010014648
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002232347
OpenAI Moderation v1 (007)
Self-Harm
0.0001342892
OpenAI Moderation v1 (007)
Hate > Threatening
7.46527E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Movies
Score:
100
Magnitude:
0.054
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.3
Gunning-Fog Score
16.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
39
Richard Lugar
Turning to the question of how the MCA will actually be implemented in the field, I need to preface my comments by saying that very few of the details have been worked out. However, I will try to lay out a very broad vision for you of how the MCC might work, subject to revision, once we get the Corporation up and running.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.75
Very Negative
Harvard-IV (Absolute)
-0.75
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
0.313
Somewhat Positive
Moderation
Violence
0.0099031684
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0089472196
OpenAI Moderation v1 (007)
Harassment
0.0077800149
OpenAI Moderation v1 (007)
Sexual
0.0040594772
OpenAI Moderation v1 (007)
Hate
0.0010747041
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010127566
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004673821
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001656021
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001437112
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.25701E-5
OpenAI Moderation v1 (007)
Self-Harm
3.29355E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.051
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
15.1
Coleman-Liau Index
8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
18
Richard Lugar
MCA programs will be founded on a partnership and be very focused on one or two key strategic objectives that the country has identified as their top priority to stimulate growth. In order to develop a proposal, we are asking countries to engage in a consultative process with all the relevant civil society and private sector groups. One of the central principles of the MCA is that it be a transparent process from start to finish. This is why it is important that the initial phase of developing a country proposal set the tone and foundation for the development partnership. While the process may vary considerably from country to country, the themes of transparency and country leadership and ownership of the proposal are critical.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.84615
Very Positive
Harvard-IV (Absolute)
0.84615
Very Positive
Harvard-IV (Logit)
2.12026
VADER
0.843
Very Positive
Moderation
Harassment
0.0819948851
OpenAI Moderation v1 (007)
Hate
0.0153883244
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0128130676
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0085362859
OpenAI Moderation v1 (007)
Violence
0.0061826817
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013518483
OpenAI Moderation v1 (007)
Self-Harm
0.0012666721
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011310792
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003371276
OpenAI Moderation v1 (007)
Sexual
0.0003017673
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001548748
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.076
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.1
Gunning-Fog Score
18.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
43
Sprache Difficult Word Count
39
Richard Lugar
In some cases, technical assistance may be required to help a country develop a proposal, which the MCC could offer. However, the country will be managing the process; it will not be a case of the MCC hiring consultants to develop a proposal it wants.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.402
Positive
Moderation
Sexual > Minors
0.1717923325
OpenAI Moderation v1 (007)
Harassment
0.1505384338
OpenAI Moderation v1 (007)
Sexual
0.0789039594
OpenAI Moderation v1 (007)
Violence
0.0106795356
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0099362289
OpenAI Moderation v1 (007)
Hate
0.0098373406
OpenAI Moderation v1 (007)
Violence > Graphic
0.0055906028
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0027995509
OpenAI Moderation v1 (007)
Self-Harm
0.001598728
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006274889
OpenAI Moderation v1 (007)
Hate > Threatening
0.000402542
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
52.4
Gunning-Fog Score
17
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
11
Richard Lugar
If a country's proposal is selected, a country contract would be negotiated between the MCC and government. This does not imply that those funds will only go to the government. To the contrary, it is anticipated that MCC funds will go to a variety of national and community actors and alliances. However, the government will sign the agreement with the MCC and have overall responsibility for managing and overseeing the contract. The reason we chose a contract approach is to underscore that both parties have an obligation to meet the terms and conditions outlined in the contract.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.71
Very Positive
Moderation
Sexual
0.010817677
OpenAI Moderation v1 (007)
Violence
0.0046075736
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035220095
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030312003
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017332173
OpenAI Moderation v1 (007)
Harassment
0.0013711698
OpenAI Moderation v1 (007)
Hate
0.0004284435
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002857545
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.64777E-5
OpenAI Moderation v1 (007)
Self-Harm
5.2951E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.071E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Company Information > Government Contract
Score:
100
Magnitude:
0.099
Code:
4016020
Url:
https://cv.iptc.org/newscodes/subjectcode/04016020
Source:
IPTC Subject
Topic:
Politics > Government
Score:
93
Magnitude:
0.092
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Politics > Government > National Government
Score:
89
Magnitude:
0.089
Code:
11006004
Url:
https://cv.iptc.org/newscodes/subjectcode/11006004
Wikidata_id:
Q1320217
Wikidata_label:
central government
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Movies
Score:
53
Magnitude:
0.052
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.2
Gunning-Fog Score
16.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.5
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
30
Richard Lugar
We anticipate that MCC funds will mobilize a variety of economic actors in each country; to the extent that a development result requires a public sector investment (schools or roads), funds would be channeled through the government. However since economic growth inevitably depends on the activities and investments of the private productive sectors, community groups and civil society organizations, we expect that these institutions would also participate, and even implement the bulk of the investments. In all cases, we expect that MCC funds would be disbursed directly to the institutions implementing activities under the MCC contract through the most flexible, but accountable mechanisms.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
3.04452
VADER
0.336
Somewhat Positive
Moderation
Sexual
0.0079982376
OpenAI Moderation v1 (007)
Harassment
0.0055274086
OpenAI Moderation v1 (007)
Sexual > Minors
0.0050998075
OpenAI Moderation v1 (007)
Violence
0.0036021018
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027959542
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008389915
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006061114
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004050945
OpenAI Moderation v1 (007)
Hate
0.0001057064
OpenAI Moderation v1 (007)
Hate > Threatening
3.89652E-5
OpenAI Moderation v1 (007)
Self-Harm
1.66812E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Investments
Score:
100
Magnitude:
0.129
Code:
4008025
Url:
https://cv.iptc.org/newscodes/subjectcode/04008025
Wikidata_id:
Q4290
Wikidata_label:
investment
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Movies
Score:
75
Magnitude:
0.096
Code:
1005000
Url:
https://cv.iptc.org/newscodes/subjectcode/01005000
Wikidata_id:
Q16144339
Wikidata_label:
cinematography
Source:
IPTC Subject
Topic:
Politics > Government
Score:
74
Magnitude:
0.095
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Economy (General)
Score:
63
Magnitude:
0.081
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
13.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
44
Sprache Difficult Word Count
39
Richard Lugar
If a country selected for MCC funding has a USAID mission and program, we would likely undertake a strategic review of the program. In many cases, we would see the USAID program transition to support the MCC contract. Some programs, such as those fighting HIV/AIDS or trafficking in persons, might well be continued, while others might logically be phased out or incorporated in the MCC program. Indeed, one of the ways that USAID will complement the MCC is that we have the ability to address regional issues, such as disease, water resources, transport linkages, etc., that the MCC, by virtue of being country- specific, cannot.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.751
Very Positive
Moderation
Sexual
0.0063616637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038012735
OpenAI Moderation v1 (007)
Harassment
0.0015777987
OpenAI Moderation v1 (007)
Sexual > Minors
0.00136318
OpenAI Moderation v1 (007)
Violence
0.001345292
OpenAI Moderation v1 (007)
Violence > Graphic
0.000160716
OpenAI Moderation v1 (007)
Hate
8.65862E-5
OpenAI Moderation v1 (007)
Self-Harm
4.8298E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.98601E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.17978E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6428E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.071
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
49.6
Gunning-Fog Score
14.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
40
Sprache Difficult Word Count
35
Richard Lugar
One of the basic premises for implementation of the MCC is that it should be demand-driven. We do not want to prescribe the mechanics of how activities would be implemented. I would anticipate that it will vary considerably from country to country, knowing there are no "cookie-cutter" approaches that will work across the board. However, the goal will be to employ simple implementation mechanisms that require less oversight and less U.S. management than traditional projects. There are a variety of mechanisms for spending the funds, such as contracts or grants, but these could be managed by the host country, following their policies and procedures.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
-0.05
Neutral
Moderation
Harassment > Threatening
0.0053777287
OpenAI Moderation v1 (007)
Violence
0.0048353944
OpenAI Moderation v1 (007)
Harassment
0.0032144388
OpenAI Moderation v1 (007)
Sexual
0.0017726814
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004259799
OpenAI Moderation v1 (007)
Hate
0.0002634702
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002333825
OpenAI Moderation v1 (007)
Hate > Threatening
3.18776E-5
OpenAI Moderation v1 (007)
Self-Harm
1.01732E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.9765E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.97E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employment
Score:
100
Magnitude:
0.168
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
53.7
Gunning-Fog Score
12.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
35
Sprache Difficult Word Count
39
Richard Lugar
Because the management approach of the MCC will be to employ local institutions for country development, it is appropriate that the MCC, too, rely heavily on strong local institutions for the in-country expertise it requires. Economic and financial analysis of specific MCC investments can be contracted locally. Technical advisory services to the MCC can be contracted locally. Monitoring and evaluation can largely be contracted locally. Therefore, we anticipate that the full- time presence of U.S. government employees needed to manage the MCC can be significantly reduced.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.511
Very Positive
Moderation
Violence
0.0522738032
OpenAI Moderation v1 (007)
Harassment
0.0253719394
OpenAI Moderation v1 (007)
Violence > Graphic
0.014224388
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0113943403
OpenAI Moderation v1 (007)
Hate
0.0007374561
OpenAI Moderation v1 (007)
Sexual
0.0003638802
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003205606
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001864856
OpenAI Moderation v1 (007)
Self-Harm
6.38955E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.49777E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.44766E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
100
Magnitude:
0.094
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Politics > State Budget and Tax
Score:
85
Magnitude:
0.08
Code:
11013000
Url:
https://cv.iptc.org/newscodes/subjectcode/11013000
Wikidata_id:
Q271855
Wikidata_label:
government budget
Source:
IPTC Subject
Topic:
Labor > Employee
Score:
62
Magnitude:
0.058
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
56
Magnitude:
0.053
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.7
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
8.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
42
Sprache Difficult Word Count
34
Richard Lugar
Even though we envision a strong reliance on local institutions, there will still be a need for limited MCC staff presence in the field to facilitate, manage and oversee the partnership. Due to the limited staffing, we anticipate that the Ambassador and Embassy staff will play a strong supportive role of the MCC. We also believe that USAID field staff, with its development expertise and knowledge of local culture and context, will play a key role in supporting the MCC.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.914
Very Positive
Moderation
Harassment
1.4813781716
OpenAI Moderation v1 (007)
Violence
0.0571508193
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0423552323
OpenAI Moderation v1 (007)
Hate
0.0267347437
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058696514
OpenAI Moderation v1 (007)
Sexual
0.0026770354
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0018568457
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012643549
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007211691
OpenAI Moderation v1 (007)
Self-Harm
0.0003240774
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001560646
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.5
Gunning-Fog Score
17.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
26
Richard Lugar
USAID presence in the field has rightly been repeatedly recognized as its strongest suit. Thirty years of development experience has taught us that country context matters a great deal. I can imagine that our very capable field Missions could provide critical support to the MCC, helping to work with local partners, finding creative, local solutions to problems, and generally facilitating the work of the MCC. The basic USAID activity in many of the likely MCA countries has been knowledge transfer and building local capacity and institutions. In some cases, continued USAID programs in institution building may be necessary for a time to further build country capacity to manage MCC programs and resources. As I have tried to emphasize, while I believe USAID will have a key role in supporting MCC programs, we do not want to adopt a black or white approach to how USAID will relate to the MCC in every country; rather we think each country will need to be reviewed on a case-by-case basis. conclusion
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.58779
Harvard-IV (Relative)
0.7037
Very Positive
Harvard-IV (Absolute)
0.7037
Very Positive
Harvard-IV (Logit)
1.65292
VADER
0.944
Very Positive
Moderation
Violence
0.0161516989
OpenAI Moderation v1 (007)
Sexual
0.0077450604
OpenAI Moderation v1 (007)
Harassment
0.0030511657
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015847958
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010478504
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008870026
OpenAI Moderation v1 (007)
Hate
0.0004488067
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002815344
OpenAI Moderation v1 (007)
Self-Harm
0.0001230565
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.37582E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3992E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
15.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
60
Sprache Difficult Word Count
52
Richard Lugar
As I mentioned earlier, there are many practical details to be worked out, which the CEO and MCC need to be involved in and will be best equipped to solve. However, I think we have developed a strong vision of key principles for the MCC. I began by saving that we believe the MCC marks a revolution in the U.S. approach to development assistance. It will help clarify the mission and objectives of foreign assistance, it will provide greater policy coherence by integrating foreign policy expertise, and it will mobilize more resources to help make development truly sustainable.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.52381
Very Positive
Harvard-IV (Absolute)
0.52381
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.966
Very Positive
Moderation
Sexual
0.0055563905
OpenAI Moderation v1 (007)
Violence
0.003828526
OpenAI Moderation v1 (007)
Harassment
0.0022518649
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008485631
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006418432
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005644127
OpenAI Moderation v1 (007)
Hate
0.0002731683
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001307705
OpenAI Moderation v1 (007)
Self-Harm
6.5068E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.37732E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.15662E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Demographics > Immigration
Score:
100
Magnitude:
0.092
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
83
Magnitude:
0.076
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
51.7
Gunning-Fog Score
15.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
6.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
33
Richard Lugar
Spurred by the proposal for the MCC and the changes in the developing world, we are forging a better understanding of foreign assistance and its numerous different goals -- the developmental goals, the humanitarian goals, the policy goals, trade-related goals, security goals, etc. We are beginning a process of articulating these goals and matching them with appropriate resources and programs, and developing a strategic approach to U.S. foreign assistance.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.53846
Very Positive
Harvard-IV (Absolute)
0.53846
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.649
Very Positive
Moderation
Harassment
0.8134217001
OpenAI Moderation v1 (007)
Hate
0.1731631695
OpenAI Moderation v1 (007)
Violence
0.0919706537
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0400160876
OpenAI Moderation v1 (007)
Sexual
0.0136241171
OpenAI Moderation v1 (007)
Self-Harm
0.0106392537
OpenAI Moderation v1 (007)
Violence > Graphic
0.0078408499
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0046805664
OpenAI Moderation v1 (007)
Hate > Threatening
0.0018171759
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014678973
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013073076
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > International (Foreign) Trade
Score:
100
Magnitude:
0.111
Code:
4008011
Url:
https://cv.iptc.org/newscodes/subjectcode/04008011
Wikidata_id:
Q178803
Wikidata_label:
international trade
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
83
Magnitude:
0.091
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
72
Magnitude:
0.08
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Topic:
Politics > Diplomacy > International Relations
Score:
53
Magnitude:
0.059
Code:
11002002
Url:
https://cv.iptc.org/newscodes/subjectcode/11002002
Wikidata_id:
Q166542
Wikidata_label:
international relations
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.6
Gunning-Fog Score
17.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
26
Richard Lugar
For USAID, the MCC has the potential to provide a great model. It is a golden opportunity to prove that development, done right, can work. I urge your favorable consideration of the legislation and look forward to working with you in the weeks ahead.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.875
Very Positive
Moderation
Violence
0.0314242556
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0062046354
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053689306
OpenAI Moderation v1 (007)
Sexual
0.0038342223
OpenAI Moderation v1 (007)
Harassment
0.0033232031
OpenAI Moderation v1 (007)
Self-Harm
0.0028249049
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0021296986
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017279608
OpenAI Moderation v1 (007)
Hate
0.0011601865
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004818115
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002307476
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.053
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
53.5
Gunning-Fog Score
11.3
Coleman-Liau Index
11.1
SMOG Index
11.3
Automated Readability Index
7.4
Dale-Chall Readability Score
5
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16
Richard Lugar
We will have a first round with 7-minute limits on Senators, and, if necessary, we will have a second round as we question this panel.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
0
Neutral
Moderation
Harassment
0.0456402515
OpenAI Moderation v1 (007)
Violence
0.0386992906
OpenAI Moderation v1 (007)
Hate
0.014114636
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024481693
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015569489
OpenAI Moderation v1 (007)
Sexual
0.0005636655
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002545695
OpenAI Moderation v1 (007)
Self-Harm
6.15055E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.91433E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.75131E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.44108E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.192
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
66.6
Gunning-Fog Score
11.9
Coleman-Liau Index
7.7
SMOG Index
11.3
Automated Readability Index
10.4
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Richard Lugar
Let me start by saying that my understanding is that the countries under consideration for the new MCA program would have a per capita income below $1,435, as well as the ability to borrow from the World Bank International Development Association. There are 74 countries apparently in this category.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.29928
VADER
0.527
Very Positive
Moderation
Harassment
0.0310651667
OpenAI Moderation v1 (007)
Violence
0.0178605609
OpenAI Moderation v1 (007)
Hate
0.0085822219
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038564962
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031100135
OpenAI Moderation v1 (007)
Sexual
0.002957889
OpenAI Moderation v1 (007)
Self-Harm
0.0024436327
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0017622915
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00098435
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002489961
OpenAI Moderation v1 (007)
Hate > Threatening
9.55584E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
100
Magnitude:
0.115
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Topic:
Economy, Business and Finance
Score:
61
Magnitude:
0.071
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.3
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Richard Lugar
But the criteria you have suggested, the 16, have led the Center for Global Development to estimate that only 13 countries would qualify in the first year. Now, that does not negate the value of the 16 criteria. It may be the purpose of the program to elevate the conduct of governments and their policies very abruptly, so that conceivably there might be just five winners.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.4
Somewhat Positive
Moderation
Harassment
0.0025307416
OpenAI Moderation v1 (007)
Violence
0.001878074
OpenAI Moderation v1 (007)
Sexual
0.0013788685
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007326948
OpenAI Moderation v1 (007)
Hate
0.0005288573
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00038494
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001866751
OpenAI Moderation v1 (007)
Hate > Threatening
1.16583E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1326E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.222E-7
OpenAI Moderation v1 (007)
Self-Harm
3.99E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education > School
Score:
100
Magnitude:
0.089
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
68
Magnitude:
0.061
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
56.3
Gunning-Fog Score
14.9
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19
Richard Lugar
But I just want to make sure my own understanding is yours, and that is the criteria appear to be substantial, even reasonable to Americans that other countries ought to have these humane and efficient policies that you have suggested, but most do not. In fact, a huge number do not, and especially among those countries that have fairly low per capita income.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.56495
VADER
0.085
Neutral
Moderation
Harassment
0.8242249489
OpenAI Moderation v1 (007)
Hate
0.1177698374
OpenAI Moderation v1 (007)
Sexual
0.0217831883
OpenAI Moderation v1 (007)
Violence > Graphic
0.0192561914
OpenAI Moderation v1 (007)
Sexual > Minors
0.0143589452
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0131677341
OpenAI Moderation v1 (007)
Violence
0.0114028844
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0033479955
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0010193165
OpenAI Moderation v1 (007)
Self-Harm
0.0005331196
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002705725
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.144
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
97
Magnitude:
0.14
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Insurance
Score:
78
Magnitude:
0.112
Code:
4006006
Url:
https://cv.iptc.org/newscodes/subjectcode/04006006
Wikidata_id:
Q43183
Wikidata_label:
insurance
Source:
IPTC Subject
Topic:
Politics
Score:
58
Magnitude:
0.084
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.3
Gunning-Fog Score
18.3
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16
Richard Lugar
Now, in answering that question, try to couple it with this. It is suggested, as I understand the MCA program, that by the third year, the income cap would rise to $2,975. And some have suggested -- and you have all done the math on this -- that the increased cap might qualify more countries, such as Egypt, Russia, Colombia.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.273
Slightly Positive
Moderation
Harassment
0.4280278925
OpenAI Moderation v1 (007)
Violence
0.0212369152
OpenAI Moderation v1 (007)
Violence > Graphic
0.0175495414
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0155235713
OpenAI Moderation v1 (007)
Hate
0.0059117712
OpenAI Moderation v1 (007)
Sexual
0.0007359526
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006743356
OpenAI Moderation v1 (007)
Self-Harm
0.0005457413
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004056152
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001919136
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001025539
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Mathematics
Score:
100
Magnitude:
0.071
Code:
13018000
Url:
https://cv.iptc.org/newscodes/subjectcode/13018000
Wikidata_id:
Q395
Wikidata_label:
mathematics
Source:
IPTC Subject
Topic:
Science and Technology > Natural Science
Score:
82
Magnitude:
0.059
Code:
13004000
Url:
https://cv.iptc.org/newscodes/subjectcode/13004000
Wikidata_id:
Q7991
Wikidata_label:
natural science
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
73.6
Gunning-Fog Score
11.9
Coleman-Liau Index
8.7
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Richard Lugar
If that is the case, then some very large entities may become a part of this, well beyond the small countries that are envisioned at least in the first track and the first year with perhaps substantially different policies of management. However, as Mr. Natsios has said, USAID will be integrating case by case, trying to think through what is already occurring, or if we are doing anything in these countries.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0
Neutral
Moderation
Sexual
0.0151724424
OpenAI Moderation v1 (007)
Violence > Graphic
0.0067679452
OpenAI Moderation v1 (007)
Violence
0.0027298913
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023097477
OpenAI Moderation v1 (007)
Harassment
0.0014314292
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010974431
OpenAI Moderation v1 (007)
Hate > Threatening
6.24453E-5
OpenAI Moderation v1 (007)
Hate
5.36257E-5
OpenAI Moderation v1 (007)
Self-Harm
4.61062E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.21735E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.72355E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.091
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Politics
Score:
57
Magnitude:
0.052
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
57.7
Gunning-Fog Score
16.2
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Richard Lugar
I wonder about the philosophy, please explain to us the thinking and then likewise, the very small staff. You have talked about a lean organization, and it certainly is. But will MCA have people in the field? How will they deal with the NGOs and with others who are intersecting so that life does not become very complex for the recipient governments contending with the various parties that are now all interrelating with each other.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.751
Very Positive
Moderation
Harassment
0.0142314151
OpenAI Moderation v1 (007)
Violence
0.0126235289
OpenAI Moderation v1 (007)
Sexual
0.0018990413
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018808969
OpenAI Moderation v1 (007)
Hate
0.0006449191
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001978288
OpenAI Moderation v1 (007)
Sexual > Minors
8.38239E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.511E-5
OpenAI Moderation v1 (007)
Self-Harm
1.01477E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7931E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.8015E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
57
Gunning-Fog Score
12.8
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19
Richard Lugar
Secretary Larson, would you have a crack at those questions to begin with?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Sexual
0.0786144868
OpenAI Moderation v1 (007)
Violence > Graphic
0.0105416504
OpenAI Moderation v1 (007)
Violence
0.008038518
OpenAI Moderation v1 (007)
Harassment
0.0030802934
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015046859
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006763463
OpenAI Moderation v1 (007)
Hate
9.08702E-5
OpenAI Moderation v1 (007)
Self-Harm
8.27912E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.57262E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.04341E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.195E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
63.5
Gunning-Fog Score
8.3
Coleman-Liau Index
11.4
SMOG Index
11.3
Automated Readability Index
6.8
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
4
John Larson
Thank you, Mr. Chairman. I will certainly give you an overview of our thinking. First of all, while it was premature to talk about any list of countries as such, because we do not have the latest data on these indicators and we will be running all of that later, I think it is correct to expect that the rigorous application of these indicators and criteria will result in a very selective program.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.422
Positive
Moderation
Violence
0.0175744077
OpenAI Moderation v1 (007)
Violence > Graphic
0.00306205
OpenAI Moderation v1 (007)
Sexual
0.0022668872
OpenAI Moderation v1 (007)
Harassment
0.0020742953
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013563048
OpenAI Moderation v1 (007)
Hate
0.0003298945
OpenAI Moderation v1 (007)
Sexual > Minors
5.78989E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.98138E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.1584E-6
OpenAI Moderation v1 (007)
Self-Harm
5.6366E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.535E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Soccer
Score:
100
Magnitude:
0.064
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
60.8
Gunning-Fog Score
12.2
Coleman-Liau Index
9.8
SMOG Index
11.8
Automated Readability Index
8.2
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
19
John Larson
And we believe that is appropriate for a variety of reasons. First of all, the experience in development over the last 50 years has shown that we get much greater developmental impact, more bang for the buck, more kids completing primary school, for example, if we are investing our development assistance resources in countries with good policies.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.66
Very Positive
Moderation
Violence
0.0582873879
OpenAI Moderation v1 (007)
Violence > Graphic
0.0111750014
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0103125822
OpenAI Moderation v1 (007)
Harassment
0.007481697
OpenAI Moderation v1 (007)
Hate
0.0033847857
OpenAI Moderation v1 (007)
Sexual
0.0004466398
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002165591
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.71704E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.18384E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.11665E-5
OpenAI Moderation v1 (007)
Self-Harm
1.04857E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Science (General)
Score:
100
Magnitude:
0.065
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Topic:
Education > School
Score:
91
Magnitude:
0.059
Code:
5005000
Url:
https://cv.iptc.org/newscodes/subjectcode/05005000
Wikidata_id:
Q3914
Wikidata_label:
school
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
John Larson
Second, we do believe that as Andrew Natsios said that in countries that do not make the cut in the first instance, this set of very open and transparent criteria is already spurring ferment and change and pressures to improve policies in countries where those policies need improvement. And that is one of the very important goals of the Millennium Challenge Account.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.742
Very Positive
Moderation
Sexual
0.0362217281
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0238517168
OpenAI Moderation v1 (007)
Violence
0.0069981259
OpenAI Moderation v1 (007)
Violence > Graphic
0.006436243
OpenAI Moderation v1 (007)
Self-Harm
0.0061981125
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0040831605
OpenAI Moderation v1 (007)
Harassment
0.0038920567
OpenAI Moderation v1 (007)
Sexual > Minors
0.000918639
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008935009
OpenAI Moderation v1 (007)
Hate
0.0003105899
OpenAI Moderation v1 (007)
Hate > Threatening
3.63903E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General)
Score:
100
Magnitude:
0.057
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43
Gunning-Fog Score
16.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16
John Larson
We are going to make sure that we are in a position to help those countries that are trying to improve their policies and, again, Mr. Natsios has outlined the ideas USAID has for lending a helping hand to countries that are not quite where they need to be at.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.906
Very Positive
Moderation
Sexual > Minors
0.0059036589
OpenAI Moderation v1 (007)
Harassment
0.0014908637
OpenAI Moderation v1 (007)
Sexual
0.0012015033
OpenAI Moderation v1 (007)
Violence
0.0011657708
OpenAI Moderation v1 (007)
Hate
0.0003352143
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001210623
OpenAI Moderation v1 (007)
Harassment > Threatening
8.16479E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.61274E-5
OpenAI Moderation v1 (007)
Self-Harm
1.10202E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.3008E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6815E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Loans
Score:
100
Magnitude:
0.1
Code:
4008021
Url:
https://cv.iptc.org/newscodes/subjectcode/04008021
Wikidata_id:
Q189539
Wikidata_label:
loan
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
82
Magnitude:
0.082
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
71.5
Gunning-Fog Score
12.4
Coleman-Liau Index
8.5
SMOG Index
10.3
Automated Readability Index
10.5
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
John Larson
In later years of the Millennium Challenge Account, we do imagine easing the per capita income level to something just below $3,000 per capita, which includes what the World Bank calls the low-, medium-income countries. But there is a couple of points to bear in mind here.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.318
Somewhat Positive
Moderation
Sexual
0.0028791639
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008273348
OpenAI Moderation v1 (007)
Harassment
0.0005329854
OpenAI Moderation v1 (007)
Violence
0.0005273193
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004993451
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003867002
OpenAI Moderation v1 (007)
Hate
4.81326E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.87077E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.02427E-5
OpenAI Moderation v1 (007)
Self-Harm
1.61541E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.18885E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance
Score:
100
Magnitude:
0.102
Code:
4000000
Url:
https://cv.iptc.org/newscodes/subjectcode/04000000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Banking
Score:
82
Magnitude:
0.083
Code:
4006002
Url:
https://cv.iptc.org/newscodes/subjectcode/04006002
Wikidata_id:
Q806718
Wikidata_label:
banking industry
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
59.4
Gunning-Fog Score
13.9
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
11.4
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
John Larson
First of all, these are still countries that have very serious problems of development and poverty, particularly for certain segments of their population. Second, we do not imagine these countries competing against the poorest countries. Our vision is that they would compete among themselves for a slice of MCA resources.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
-0.788
Very Negative
Moderation
Violence
0.0027118032
OpenAI Moderation v1 (007)
Harassment
0.0022772334
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001621802
OpenAI Moderation v1 (007)
Violence > Graphic
0.001291795
OpenAI Moderation v1 (007)
Sexual
0.0006641697
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003500424
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003187565
OpenAI Moderation v1 (007)
Hate
0.0003013075
OpenAI Moderation v1 (007)
Self-Harm
0.0001826728
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001186079
OpenAI Moderation v1 (007)
Sexual > Minors
6.2674E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Issue > Poverty
Score:
100
Magnitude:
0.124
Code:
14012000
Url:
https://cv.iptc.org/newscodes/subjectcode/14012000
Wikidata_id:
Q10294
Wikidata_label:
poverty
Source:
IPTC Subject
Topic:
Sport > Golf
Score:
63
Magnitude:
0.078
Code:
15027000
Url:
https://cv.iptc.org/newscodes/subjectcode/15027000
Wikidata_id:
Q5377
Wikidata_label:
golf
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
14
John Larson
We believe that the focus of this program has to remain on promoting development and economic growth in the world's poorest countries, and that is where we intend to keep it.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.153
Leans Positive
Moderation
Sexual
0.0036112375
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006990459
OpenAI Moderation v1 (007)
Violence
0.0005279428
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004772776
OpenAI Moderation v1 (007)
Harassment
0.0003640954
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001792792
OpenAI Moderation v1 (007)
Hate
8.14342E-5
OpenAI Moderation v1 (007)
Self-Harm
1.49975E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.908E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.177E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7509E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.067
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Financial and Business Service > Personal Finance
Score:
88
Magnitude:
0.059
Code:
4006018
Url:
https://cv.iptc.org/newscodes/subjectcode/04006018
Wikidata_id:
Q253613
Wikidata_label:
personal finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.8
Gunning-Fog Score
16.3
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
John Larson
Last, on the size of the Millennium Challenge staff, you are right in saying it is a lean staff. We want to work very hard to avoid a new bureaucratic entity. We are talking about short-term appointments. We believe that they may need to have a limited field presence, but we would also expect that in countries where USAID is present that USAID would certainly help and certainly the U.S. Embassies would help in every country where the MCA is operating.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.902
Very Positive
Moderation
Harassment
0.0071379523
OpenAI Moderation v1 (007)
Hate
0.0054599477
OpenAI Moderation v1 (007)
Violence
0.0020627003
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009533838
OpenAI Moderation v1 (007)
Sexual
0.0006496796
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004763544
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000304997
OpenAI Moderation v1 (007)
Self-Harm
0.0001407212
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.57594E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.2195E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.66816E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.06
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Topic:
Sport > Soccer
Score:
90
Magnitude:
0.054
Code:
15054000
Url:
https://cv.iptc.org/newscodes/subjectcode/15054000
Wikidata_id:
Q2736
Wikidata_label:
association football
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
68.4
Gunning-Fog Score
9.9
Coleman-Liau Index
10.1
SMOG Index
10.6
Automated Readability Index
6.2
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Richard Lugar
So you intend to rely upon that structure?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Violence
0.0197266068
OpenAI Moderation v1 (007)
Violence > Graphic
0.0090114729
OpenAI Moderation v1 (007)
Harassment
0.0085448533
OpenAI Moderation v1 (007)
Sexual
0.0026670314
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001659595
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008756586
OpenAI Moderation v1 (007)
Hate
0.0002570919
OpenAI Moderation v1 (007)
Hate > Threatening
8.54127E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.09505E-5
OpenAI Moderation v1 (007)
Self-Harm
6.3753E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8611E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
71.8
Gunning-Fog Score
3.2
Coleman-Liau Index
9.2
SMOG Index
3.3
Automated Readability Index
2.6
Dale-Chall Readability Score
4.3
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
John Larson
Yes, not necessarily exclusively, but to rely on it very heavily.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.214
Slightly Positive
Moderation
Violence
0.0025213079
OpenAI Moderation v1 (007)
Harassment
0.0009320336
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009163326
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001694652
OpenAI Moderation v1 (007)
Sexual
0.0001548637
OpenAI Moderation v1 (007)
Hate
6.84162E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.87928E-5
OpenAI Moderation v1 (007)
Self-Harm
1.06214E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.3153E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.5937E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.177E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
26.5
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.3
Dale-Chall Readability Score
6.3
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Richard Lugar
And your staff sets the criteria, tries to gather the data, makes the decision as to who the winners are, and proceeds that way. And that is what the 100 people do?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.477
Positive
Moderation
Sexual
0.0013509205
OpenAI Moderation v1 (007)
Violence
0.0005580185
OpenAI Moderation v1 (007)
Self-Harm
0.0003908371
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000338367
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003379162
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002597013
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002495055
OpenAI Moderation v1 (007)
Harassment
0.0001619329
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001256405
OpenAI Moderation v1 (007)
Hate
0.0001153168
OpenAI Moderation v1 (007)
Hate > Threatening
3.25704E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor > Employee
Score:
100
Magnitude:
0.072
Code:
9016000
Url:
https://cv.iptc.org/newscodes/subjectcode/09016000
Wikidata_id:
Q703534
Wikidata_label:
employee
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
82.2
Gunning-Fog Score
8.9
Coleman-Liau Index
7.2
SMOG Index
9
Automated Readability Index
5
Dale-Chall Readability Score
3.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
8
John Larson
That is what the 100 people do. And they will make proposals to the board.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0810108613
OpenAI Moderation v1 (007)
Violence
0.0271098805
OpenAI Moderation v1 (007)
Hate
0.0109159322
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043525961
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034090554
OpenAI Moderation v1 (007)
Sexual
0.0009666109
OpenAI Moderation v1 (007)
Self-Harm
0.0004218611
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002648671
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001335753
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001324516
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001316759
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > Periodicals
Score:
100
Magnitude:
0.057
Code:
1026001
Url:
https://cv.iptc.org/newscodes/subjectcode/01026001
Wikidata_id:
Q1002697
Wikidata_label:
periodical
Source:
IPTC Subject
Topic:
Politics
Score:
100
Magnitude:
0.057
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Social Issue
Score:
95
Magnitude:
0.054
Code:
14000000
Url:
https://cv.iptc.org/newscodes/subjectcode/14000000
Wikidata_id:
Q8425
Wikidata_label:
society
Source:
IPTC Subject
Topic:
Science and Technology > Science (General)
Score:
91
Magnitude:
0.052
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
100
Gunning-Fog Score
5.7
Coleman-Liau Index
5.8
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
1.4
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
John Larson
We have made clear that because any indicator is imperfect and because you cannot summon an indicator to a hearing to explain why the government is giving money to a particular country, it is important for the board to exercise judgment that can take into account missing or lag data or other factors that may not be captured by that indicator about whether we truly are selecting countries that are governing justly, that are committed to the investment in their own people, and are promoting economic freedom in their own countries.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.6
Very Positive
Harvard-IV (Absolute)
0.6
Very Positive
Harvard-IV (Logit)
1.27297
VADER
0.891
Very Positive
Moderation
Harassment
0.0960919482
OpenAI Moderation v1 (007)
Violence
0.0082798622
OpenAI Moderation v1 (007)
Violence > Graphic
0.0055948753
OpenAI Moderation v1 (007)
Hate
0.0053821976
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0047806079
OpenAI Moderation v1 (007)
Sexual
0.004751248
OpenAI Moderation v1 (007)
Self-Harm
0.0030058662
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027334079
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0014994403
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007329423
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001460236
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.36
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
27
Richard Lugar
Well, the indicators, I think, are great, but they have a highly qualitative content; for example, as you discuss, corruption First of all, you collect, I suppose, stories of corruption or lack of it. To what extent does this affect American diplomacy? Is it much like the accounts, at least of those who have drug problems? Each year we wrestle with whether they have a high degree of corruption, a low degree, whether there should be waivers. In other words, have you thought through the public relations aspect of listing out the foibles as well the strengths of each of these 74 countries?
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.95551
Harvard-IV (Relative)
0.06667
Neutral
Harvard-IV (Absolute)
0.06667
Neutral
Harvard-IV (Logit)
0.12516
VADER
0.605
Very Positive
Moderation
Violence
0.0024898134
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010122469
OpenAI Moderation v1 (007)
Sexual
0.0004530274
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004344545
OpenAI Moderation v1 (007)
Harassment
0.0002367733
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001161101
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001124847
OpenAI Moderation v1 (007)
Self-Harm
0.0001114442
OpenAI Moderation v1 (007)
Hate
2.31665E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.01752E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.0597E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Diplomacy
Score:
100
Magnitude:
0.181
Code:
11002000
Url:
https://cv.iptc.org/newscodes/subjectcode/11002000
Wikidata_id:
Q1889
Wikidata_label:
diplomacy
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Corporate Crime > Corruption
Score:
79
Magnitude:
0.142
Code:
2012006
Url:
https://cv.iptc.org/newscodes/subjectcode/02012006
Wikidata_id:
Q366
Wikidata_label:
corruption
Source:
IPTC Subject
Topic:
Education > University
Score:
59
Magnitude:
0.107
Code:
5007000
Url:
https://cv.iptc.org/newscodes/subjectcode/05007000
Wikidata_id:
Q3918
Wikidata_label:
university
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Corporate Crime > Fraud
Score:
53
Magnitude:
0.096
Code:
2012001
Url:
https://cv.iptc.org/newscodes/subjectcode/02012001
Wikidata_id:
Q28813
Wikidata_label:
fraud
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
66
Gunning-Fog Score
11.3
Coleman-Liau Index
11.1
SMOG Index
10.9
Automated Readability Index
10.4
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
25
John Larson
Well, I think we have. And we think while there will be difficulties, that there is great merit and openness and transparency. And I know each of us at this table believes that corruption is a cancer that makes development almost impossible.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.586
Very Positive
Moderation
Harassment
0.0207031931
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044662458
OpenAI Moderation v1 (007)
Violence
0.00396867
OpenAI Moderation v1 (007)
Hate
0.0015249231
OpenAI Moderation v1 (007)
Sexual
0.0014755084
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004296305
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001069524
OpenAI Moderation v1 (007)
Sexual > Minors
4.01493E-5
OpenAI Moderation v1 (007)
Self-Harm
2.9346E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2194E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.14E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.177
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Corporate Crime > Corruption
Score:
93
Magnitude:
0.165
Code:
2012006
Url:
https://cv.iptc.org/newscodes/subjectcode/02012006
Wikidata_id:
Q366
Wikidata_label:
corruption
Source:
IPTC Subject
Topic:
Health > Disease > Cancer
Score:
70
Magnitude:
0.124
Code:
7001004
Url:
https://cv.iptc.org/newscodes/subjectcode/07001004
Wikidata_id:
Q12078
Wikidata_label:
cancer
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
65.7
Gunning-Fog Score
11.3
Coleman-Liau Index
11.5
SMOG Index
11.3
Automated Readability Index
7.4
Dale-Chall Readability Score
3.7
Sprache Readability Score
3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
John Larson
And both through our initiatives in the international financial institutions, through technical assistance through USAID and through initiatives like the OECD Anti-bribery Convention, we all are trying to push the envelope for greater transparency and greater anti-corruption initiatives.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
-0.42857
Negative
Harvard-IV (Absolute)
-0.42857
Negative
Harvard-IV (Logit)
-0.78846
VADER
0.758
Very Positive
Moderation
Harassment
0.1498893951
OpenAI Moderation v1 (007)
Sexual
0.0104353945
OpenAI Moderation v1 (007)
Violence
0.0096119278
OpenAI Moderation v1 (007)
Hate
0.0087454115
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003907338
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034068878
OpenAI Moderation v1 (007)
Self-Harm
0.0009378032
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005604756
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002017304
OpenAI Moderation v1 (007)
Hate > Threatening
8.26702E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.04689E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Corporate Crime > Corruption
Score:
100
Magnitude:
0.167
Code:
2012006
Url:
https://cv.iptc.org/newscodes/subjectcode/02012006
Wikidata_id:
Q366
Wikidata_label:
corruption
Source:
IPTC Subject
Topic:
Politics > Foreign Aid
Score:
80
Magnitude:
0.134
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
1.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16
Richard Lugar
Senator Hagel.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.1499399426
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045831472
OpenAI Moderation v1 (007)
Violence
0.0044835931
OpenAI Moderation v1 (007)
Hate
0.0043463333
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016791286
OpenAI Moderation v1 (007)
Violence > Graphic
0.00161115
OpenAI Moderation v1 (007)
Sexual
0.0014394099
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002218788
OpenAI Moderation v1 (007)
Self-Harm
3.07494E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.08175E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9004E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
7.8
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Chuck Hagel
Mr. Chairman, thank you. And I welcome our witnesses. Thank you for your appearance this morning. This is an exciting proposal and I compliment the President and all of you for developing it.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.923
Very Positive
Moderation
Harassment
0.0126457089
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024660858
OpenAI Moderation v1 (007)
Hate
0.0019702555
OpenAI Moderation v1 (007)
Sexual
0.0017423919
OpenAI Moderation v1 (007)
Violence
0.0016177488
OpenAI Moderation v1 (007)
Harassment > Threatening
5.3742E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.73897E-5
OpenAI Moderation v1 (007)
Self-Harm
1.09892E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.9495E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.0754E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7947E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
74.5
Gunning-Fog Score
8.7
Coleman-Liau Index
11.5
SMOG Index
9
Automated Readability Index
3.7
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Chuck Hagel
And I think there is little question, as the three of you have expressed so well this morning, as has the chairman, the importance of this kind of attention and focus and the resources that must go with it as to the future of our security, if nothing else, American security, our role in the world. It is an investment in stability and security.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.709
Very Positive
Moderation
Harassment
0.0233142957
OpenAI Moderation v1 (007)
Violence
0.0204566226
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058365185
OpenAI Moderation v1 (007)
Hate
0.0041854906
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016886916
OpenAI Moderation v1 (007)
Sexual
0.0012284988
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007621057
OpenAI Moderation v1 (007)
Hate > Threatening
8.53209E-5
OpenAI Moderation v1 (007)
Self-Harm
3.5065E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.25406E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.58354E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.059
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.8
Gunning-Fog Score
17.8
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
12
Chuck Hagel
And I think we should see it that way as well as the humanitarian, because it will be those tools -- the humanitarian and the economic and the trade and environmental, law enforcement, intelligence that I believe coming together in a seamless network of our allies will do as much to secure the security of this country for the future than our military will. All must be used and will be employed.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.84
Very Positive
Moderation
Harassment
0.0177155976
OpenAI Moderation v1 (007)
Hate
0.0054801352
OpenAI Moderation v1 (007)
Violence
0.0030967312
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024002511
OpenAI Moderation v1 (007)
Sexual
0.0013723263
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006314436
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006041736
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004920002
OpenAI Moderation v1 (007)
Self-Harm
0.0004517008
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00027105
OpenAI Moderation v1 (007)
Hate > Threatening
6.69573E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Police
Score:
100
Magnitude:
0.199
Code:
2003000
Url:
https://cv.iptc.org/newscodes/subjectcode/02003000
Wikidata_id:
Q35535
Wikidata_label:
police
Source:
IPTC Subject
Topic:
Labor > Health and Safety at Work
Score:
50
Magnitude:
0.1
Code:
9013000
Url:
https://cv.iptc.org/newscodes/subjectcode/09013000
Wikidata_id:
Q629029
Wikidata_label:
occupational health and safety
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.3
Gunning-Fog Score
19
Coleman-Liau Index
10.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
18
Chuck Hagel
So this is very important, what you are doing, and, again, thank you for focusing on this.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.552
Very Positive
Moderation
Hate
0.0627527654
OpenAI Moderation v1 (007)
Harassment
0.0593696255
OpenAI Moderation v1 (007)
Violence
0.0360778999
OpenAI Moderation v1 (007)
Sexual
0.0288703333
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0056912253
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015580672
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004897607
OpenAI Moderation v1 (007)
Self-Harm
0.0003024294
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002531592
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001211357
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8336E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
11.5
Coleman-Liau Index
8.1
SMOG Index
11.3
Automated Readability Index
6.2
Dale-Chall Readability Score
2.7
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Chuck Hagel
Secretary Taylor, describe for me the role of Treasury in here. In your testimony, you have laid out the 16 points but what will be your role here on the board? What expertise do you bring to this effort?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
0.193
Leans Positive
Moderation
Harassment
0.0633330608
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0616083678
OpenAI Moderation v1 (007)
Hate
0.0287582749
OpenAI Moderation v1 (007)
Violence
0.0130057859
OpenAI Moderation v1 (007)
Hate > Threatening
0.0048701575
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046994315
OpenAI Moderation v1 (007)
Sexual
0.0031027794
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005106049
OpenAI Moderation v1 (007)
Self-Harm
0.0004052896
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001081224
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.38651E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
83
Gunning-Fog Score
7.3
Coleman-Liau Index
8.2
SMOG Index
9.9
Automated Readability Index
4.3
Dale-Chall Readability Score
3.9
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Charles Taylor
Senator, as you know, the Secretary of the Treasury would be a member of the board as currently proposed. And the role of Treasury here, I think, is most important in the focus on the policies that will raise economic growth, and looking at those policies, working with the countries about those policies as we frequently do, whether it is through the international financial institutions or in bilateral ways.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.74
Very Positive
Moderation
Violence
0.0186262871
OpenAI Moderation v1 (007)
Harassment
0.0083469218
OpenAI Moderation v1 (007)
Violence > Graphic
0.0075166165
OpenAI Moderation v1 (007)
Sexual
0.0060818609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021197375
OpenAI Moderation v1 (007)
Hate
0.0011635316
OpenAI Moderation v1 (007)
Self-Harm
0.0009060216
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008548661
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005869857
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002108726
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001224774
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General) > Economic Policy
Score:
100
Magnitude:
0.707
Code:
4017001
Url:
https://cv.iptc.org/newscodes/subjectcode/04017001
Wikidata_id:
Q582577
Wikidata_label:
economic policy
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Macro Economics > International Economic Institution
Score:
54
Magnitude:
0.38
Code:
4008010
Url:
https://cv.iptc.org/newscodes/subjectcode/04008010
Wikidata_id:
Q1345691
Wikidata_label:
international financial institution
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
19
Charles Taylor
I think another role which is important, which we all share in the government, is measuring the results of the projects -- of the specific projects and contributing to that as well.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.625
Very Positive
Moderation
Harassment
0.014046552
OpenAI Moderation v1 (007)
Violence
0.0095021489
OpenAI Moderation v1 (007)
Hate
0.0021329752
OpenAI Moderation v1 (007)
Sexual
0.0018463023
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015296509
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001205134
OpenAI Moderation v1 (007)
Hate > Threatening
7.47284E-5
OpenAI Moderation v1 (007)
Self-Harm
6.67879E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.60081E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.75878E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.43306E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Government
Score:
100
Magnitude:
0.062
Code:
11006000
Url:
https://cv.iptc.org/newscodes/subjectcode/11006000
Wikidata_id:
Q7188
Wikidata_label:
government
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.1
Gunning-Fog Score
19
Coleman-Liau Index
11.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Charles Taylor
So it is these economic financial quantitative aspects that I think are so important in this project in which the Treasury has participated in already in developing and helping to develop the indicators, working with other agencies, State, OMB, USAID. So those are the particular things that the Secretary would focus on.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.3979
VADER
0.459
Positive
Moderation
Harassment
2.2491063923
OpenAI Moderation v1 (007)
Violence
0.0184919205
OpenAI Moderation v1 (007)
Hate
0.0169153456
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043556731
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024230101
OpenAI Moderation v1 (007)
Sexual
0.0013224651
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002697702
OpenAI Moderation v1 (007)
Self-Harm
8.72274E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.73794E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.8213E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.1611E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Economic Indicator
Score:
100
Magnitude:
0.098
Code:
4008004
Url:
https://cv.iptc.org/newscodes/subjectcode/04008004
Wikidata_id:
Q1167393
Wikidata_label:
economic indicator
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
55
Magnitude:
0.054
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.1
Gunning-Fog Score
18.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
19
Chuck Hagel
Thank you. I know there is no one here who can speak for OMB, but can anyone explain to me what OMB's role would be? If that is Treasury's role, then what is OMB'S role?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.131
Leans Positive
Moderation
Harassment
0.1013177563
OpenAI Moderation v1 (007)
Hate
0.0103010338
OpenAI Moderation v1 (007)
Sexual
0.0086148641
OpenAI Moderation v1 (007)
Violence
0.008079649
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037814894
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023002318
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010642773
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001244887
OpenAI Moderation v1 (007)
Self-Harm
7.94276E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.87853E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.74627E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.1
Flesch-Kincaid Ease
100
Gunning-Fog Score
4.7
Coleman-Liau Index
5.5
SMOG Index
6.6
Automated Readability Index
1.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
4
John Larson
I think there is two things that I would highlight, Senator Hagel. The first is that when fully implemented, this represents a 50 percent increase in the Nation's commitment to development assistance.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.743
Very Positive
Moderation
Sexual
0.0349390291
OpenAI Moderation v1 (007)
Harassment
0.0168826678
OpenAI Moderation v1 (007)
Hate
0.0087627079
OpenAI Moderation v1 (007)
Violence
0.0032153552
OpenAI Moderation v1 (007)
Self-Harm
0.0011203717
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000863919
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006118091
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005319403
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000141838
OpenAI Moderation v1 (007)
Violence > Graphic
0.000127933
OpenAI Moderation v1 (007)
Hate > Threatening
2.3626E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.051
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
55.8
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
6.2
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
John Larson
And I think the Director of OMB is the place where you have to really look to get advice about whether we are getting the results we want for that substantial investment.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0.273
Slightly Positive
Moderation
Violence
0.0457763846
OpenAI Moderation v1 (007)
Harassment
0.0344003405
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0320535619
OpenAI Moderation v1 (007)
Hate
0.0252378668
OpenAI Moderation v1 (007)
Sexual
0.0077674791
OpenAI Moderation v1 (007)
Violence > Graphic
0.001471129
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013057178
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008673036
OpenAI Moderation v1 (007)
Self-Harm
0.000111462
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.35037E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.9914E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
16.6
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
John Larson
Second, I think OMB, as the agency within the government that really focuses on management and management by objective that the Director would be in a position to support what the Secretary of the Treasury would be doing and helping formulate this measurement of results in making sure that your meeting benchmarks in these programs.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
2.94444
VADER
0.791
Very Positive
Moderation
Sexual
0.0763638585
OpenAI Moderation v1 (007)
Harassment
0.018244487
OpenAI Moderation v1 (007)
Hate
0.0106017615
OpenAI Moderation v1 (007)
Violence
0.0099873148
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0065621643
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015928141
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005051492
OpenAI Moderation v1 (007)
Self-Harm
0.0001964185
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.60332E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.53824E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.14842E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
11
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
22
Chuck Hagel
But is that not already the role of OMB? Do you not all have to go to OMB to get your budgets approved, and do you not have to go through that process if there is an appeal?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.487
Positive
Moderation
Harassment
0.658444548
OpenAI Moderation v1 (007)
Sexual
0.0160922849
OpenAI Moderation v1 (007)
Hate
0.011917542
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0052321677
OpenAI Moderation v1 (007)
Violence
0.004974223
OpenAI Moderation v1 (007)
Self-Harm
0.0011958835
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006632292
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004004762
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003521945
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003171815
OpenAI Moderation v1 (007)
Hate > Threatening
1.37426E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
89.6
Gunning-Fog Score
8.7
Coleman-Liau Index
4.8
SMOG Index
7.3
Automated Readability Index
4.6
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
6
Chuck Hagel
I mean, I am not sure what new assistance or authority you are adding here. Since they already have that.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
-0.021
Neutral
Moderation
Violence > Graphic
0.0052935364
OpenAI Moderation v1 (007)
Sexual
0.0022164864
OpenAI Moderation v1 (007)
Violence
0.0019021061
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015130057
OpenAI Moderation v1 (007)
Harassment
0.0014501335
OpenAI Moderation v1 (007)
Hate
0.0003401585
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001232014
OpenAI Moderation v1 (007)
Self-Harm
6.41801E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.68504E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.2175E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.104E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Basketball
Score:
100
Magnitude:
0.065
Code:
15008000
Url:
https://cv.iptc.org/newscodes/subjectcode/15008000
Wikidata_id:
Q5372
Wikidata_label:
basketball
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
10
Coleman-Liau Index
8.6
SMOG Index
10.3
Automated Readability Index
3.1
Dale-Chall Readability Score
2.9
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
John Larson
In many respects it replicates what is the Budget Review Board right now. And I think that is seen as one of the merits that you have right on the board, the key players that would be reviewing resource allocation decisions within the administration, if there was a difference of opinion about whether a particular investment or budget allocation should be made.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.612
Very Positive
Moderation
Sexual
0.2003570786
OpenAI Moderation v1 (007)
Violence
0.0200652983
OpenAI Moderation v1 (007)
Harassment
0.0121004392
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029190196
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020490155
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010793005
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007832236
OpenAI Moderation v1 (007)
Hate
0.0005112183
OpenAI Moderation v1 (007)
Self-Harm
0.0003780783
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001394045
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.90745E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Macro Economics > Budgets and Budgeting
Score:
100
Magnitude:
0.175
Code:
4008019
Url:
https://cv.iptc.org/newscodes/subjectcode/04008019
Wikidata_id:
Q41263
Wikidata_label:
budget
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
83
Magnitude:
0.145
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.6
Gunning-Fog Score
18.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
John Larson
You have got that represented right on the board of directors.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Harassment
0.0245336036
OpenAI Moderation v1 (007)
Violence > Graphic
0.0125108374
OpenAI Moderation v1 (007)
Sexual
0.0105654399
OpenAI Moderation v1 (007)
Violence
0.0047011261
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007790498
OpenAI Moderation v1 (007)
Self-Harm
0.0001785653
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001646256
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.16631E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5741E-5
OpenAI Moderation v1 (007)
Hate
4.7005E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.69979E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Justice and Rights
Score:
100
Magnitude:
0.144
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Topic:
Labor > Employer
Score:
67
Magnitude:
0.096
Code:
9015000
Url:
https://cv.iptc.org/newscodes/subjectcode/09015000
Wikidata_id:
Q3053337
Wikidata_label:
employer
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
72.6
Gunning-Fog Score
11.7
Coleman-Liau Index
11.5
SMOG Index
11.3
Automated Readability Index
5.9
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Chuck Hagel
Administrator Natsios, you wanted to respond.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.006815113
OpenAI Moderation v1 (007)
Violence
0.0044587603
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018423132
OpenAI Moderation v1 (007)
Sexual
0.0011562818
OpenAI Moderation v1 (007)
Hate
0.0005765104
OpenAI Moderation v1 (007)
Sexual > Minors
4.53812E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
4.01648E-5
OpenAI Moderation v1 (007)
Self-Harm
2.87299E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.21441E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.4346E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8285E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Judiciary (System of Justice) > Court Administration
Score:
100
Magnitude:
0.201
Code:
2002003
Url:
https://cv.iptc.org/newscodes/subjectcode/02002003
Wikidata_id:
Q12666235
Wikidata_label:
National Courts Administration
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
3.3
Gunning-Fog Score
2.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.4
Dale-Chall Readability Score
10
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Andrew Natsios
Let me just add one little caveat -- not caveat, but sort of an argument here that I do not think is fully understood. There has been a shift in the last 12 years in terms of foreign assistance.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
-0.754
Very Negative
Moderation
Sexual
0.0267040712
OpenAI Moderation v1 (007)
Violence
0.0074591931
OpenAI Moderation v1 (007)
Violence > Graphic
0.0073425632
OpenAI Moderation v1 (007)
Harassment
0.0040694114
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017971004
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002619621
OpenAI Moderation v1 (007)
Self-Harm
0.0002385632
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.63122E-5
OpenAI Moderation v1 (007)
Hate
5.14809E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.66323E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.7554E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
80.7
Gunning-Fog Score
10.8
Coleman-Liau Index
7.3
SMOG Index
10.3
Automated Readability Index
6.5
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Andrew Natsios
When I left the first Bush administration, most foreign assistance was done through USAID. And in the nineties as the cold war ended, the perception was that most Federal departments should have international programs. Some of them appropriately, some of them, it was a little more difficult to defend, but they have them anyway. And so many Federal departments are involved appropriately in foreign assistance now, and they have technical expertise in it.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
-0.493
Negative
Moderation
Sexual
0.0157202987
OpenAI Moderation v1 (007)
Violence
0.0137232884
OpenAI Moderation v1 (007)
Harassment
0.0067777881
OpenAI Moderation v1 (007)
Hate
0.0042614174
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023850907
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010304518
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005891017
OpenAI Moderation v1 (007)
Hate > Threatening
3.86493E-5
OpenAI Moderation v1 (007)
Self-Harm
2.34266E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.7788E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.933E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Foreign Aid
Score:
100
Magnitude:
0.134
Code:
11005000
Url:
https://cv.iptc.org/newscodes/subjectcode/11005000
Wikidata_id:
Q2827815
Wikidata_label:
international aid
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
93
Magnitude:
0.125
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
72
Magnitude:
0.096
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
53
Magnitude:
0.072
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
46.9
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.8
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
19
Andrew Natsios
If we have this MCA and we do not have a disciplining force on the board that can force other Federal departments over the longer term -- this has nothing to do with one administration or another -- to have one coherent development strategy, we could have MCA and USAID doing one thing with State and Treasury, and then other Federal departments basically doing whatever they want to, which could contradict what the MCA does.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
-0.052
Neutral
Moderation
Harassment
0.6509756669
OpenAI Moderation v1 (007)
Hate
0.0157152943
OpenAI Moderation v1 (007)
Sexual
0.0108700624
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062245832
OpenAI Moderation v1 (007)
Violence
0.0042854492
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014533399
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013876714
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001442846
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001312331
OpenAI Moderation v1 (007)
Self-Harm
0.0001249706
OpenAI Moderation v1 (007)
Hate > Threatening
8.49388E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
18
Chuck Hagel
You are not saying that that is the case now with the Federal programs?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Sexual
0.0057094523
OpenAI Moderation v1 (007)
Violence
0.0044252192
OpenAI Moderation v1 (007)
Violence > Graphic
0.001947638
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008017933
OpenAI Moderation v1 (007)
Harassment
0.0005241666
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000354729
OpenAI Moderation v1 (007)
Hate
7.17384E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.6915E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.01467E-5
OpenAI Moderation v1 (007)
Self-Harm
2.37859E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.098E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Mass Media > News Media
Score:
100
Magnitude:
0.127
Code:
1026002
Url:
https://cv.iptc.org/newscodes/subjectcode/01026002
Wikidata_id:
Q1193236
Wikidata_label:
news media
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
83.9
Gunning-Fog Score
5.6
Coleman-Liau Index
8.2
SMOG Index
9
Automated Readability Index
4.7
Dale-Chall Readability Score
4.1
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Andrew Natsios
No. I am not saying it, but we --
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.153
Leans Negative
Moderation
Harassment
0.1046236255
OpenAI Moderation v1 (007)
Violence > Graphic
0.0228566612
OpenAI Moderation v1 (007)
Sexual
0.022352075
OpenAI Moderation v1 (007)
Hate
0.0077312769
OpenAI Moderation v1 (007)
Violence
0.0033945187
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005313613
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002477466
OpenAI Moderation v1 (007)
Self-Harm
0.0001425427
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001029062
OpenAI Moderation v1 (007)
Hate > Threatening
8.0541E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9982E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
0
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Chuck Hagel
So we should have OMB maybe on all these?
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.0339081569
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042900901
OpenAI Moderation v1 (007)
Violence
0.0042571279
OpenAI Moderation v1 (007)
Hate
0.0028920071
OpenAI Moderation v1 (007)
Sexual
0.0010940345
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002945021
OpenAI Moderation v1 (007)
Sexual > Minors
3.88583E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.68888E-5
OpenAI Moderation v1 (007)
Self-Harm
1.22344E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.4404E-6
OpenAI Moderation v1 (007)
Hate > Threatening
5.4213E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1
Flesch-Kincaid Ease
100
Gunning-Fog Score
3.6
Coleman-Liau Index
5.1
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Andrew Natsios
No. But I am saying by having them on the board of this MCA, what they are doing is allowing a level of inter-agency discipline.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
-0.296
Slightly Negative
Moderation
Violence
0.0410322304
OpenAI Moderation v1 (007)
Violence > Graphic
0.0154109381
OpenAI Moderation v1 (007)
Harassment
0.00986573
OpenAI Moderation v1 (007)
Sexual
0.0030048373
OpenAI Moderation v1 (007)
Hate
0.0026679065
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00172787
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001136988
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.75145E-5
OpenAI Moderation v1 (007)
Self-Harm
7.07952E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.61634E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.3082E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
73.2
Gunning-Fog Score
9.8
Coleman-Liau Index
6.8
SMOG Index
10.3
Automated Readability Index
3.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Andrew Natsios
It used to be OMB that was the disciplinary force during the cold war to ensure there was coherence in strategy. And by being on this new board, I think they are going to be in a much more powerful position to ensure in the future that there is strategic coherence.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.521
Very Positive
Moderation
Harassment
0.0264721981
OpenAI Moderation v1 (007)
Violence
0.0159727235
OpenAI Moderation v1 (007)
Violence > Graphic
0.0092075163
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020109375
OpenAI Moderation v1 (007)
Hate
0.001552498
OpenAI Moderation v1 (007)
Sexual
0.0015167417
OpenAI Moderation v1 (007)
Sexual > Minors
4.27858E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.82703E-5
OpenAI Moderation v1 (007)
Self-Harm
1.17209E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.078E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.4418E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Defense
Score:
100
Magnitude:
0.137
Code:
11001000
Url:
https://cv.iptc.org/newscodes/subjectcode/11001000
Wikidata_id:
Q17991228
Wikidata_label:
national defence
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War > War
Score:
91
Magnitude:
0.126
Code:
16009000
Url:
https://cv.iptc.org/newscodes/subjectcode/16009000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Topic:
Unrest, Conflicts and War
Score:
63
Magnitude:
0.087
Code:
16000000
Url:
https://cv.iptc.org/newscodes/subjectcode/16000000
Wikidata_id:
Q198
Wikidata_label:
war
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
59.9
Gunning-Fog Score
15.7
Coleman-Liau Index
8.7
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Chuck Hagel
Are you aware that OMB was invited to testify and declined to testify? Did the three of you know that? You knew that.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0
Neutral
Moderation
Sexual
0.0145436628
OpenAI Moderation v1 (007)
Violence > Graphic
0.0075854041
OpenAI Moderation v1 (007)
Violence
0.0046855592
OpenAI Moderation v1 (007)
Harassment
0.0013032968
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005748853
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003716868
OpenAI Moderation v1 (007)
Hate
0.0003441488
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001033841
OpenAI Moderation v1 (007)
Self-Harm
9.55661E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.06943E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.4339E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.3
Flesch-Kincaid Ease
85
Gunning-Fog Score
8.3
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
1.2
Dale-Chall Readability Score
4.5
Sprache Readability Score
2
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Chuck Hagel
Why would they decline to testify if they will be one of the three board members? Do you have any idea?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
0.072231167
OpenAI Moderation v1 (007)
Violence
0.005541748
OpenAI Moderation v1 (007)
Hate
0.0041568706
OpenAI Moderation v1 (007)
Sexual
0.0031850384
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018086421
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016173322
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003125456
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002321911
OpenAI Moderation v1 (007)
Self-Harm
3.77651E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.10989E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.04564E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.072
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
83.4
Gunning-Fog Score
8
Coleman-Liau Index
6.9
SMOG Index
9
Automated Readability Index
2
Dale-Chall Readability Score
2
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Andrew Natsios
I do not know.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0
Neutral
Moderation
Violence > Graphic
0.0115242743
OpenAI Moderation v1 (007)
Sexual
0.0066606233
OpenAI Moderation v1 (007)
Violence
0.0027161124
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010029386
OpenAI Moderation v1 (007)
Harassment
0.0007740147
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005548738
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001708701
OpenAI Moderation v1 (007)
Hate > Threatening
7.04901E-5
OpenAI Moderation v1 (007)
Hate
4.52916E-5
OpenAI Moderation v1 (007)
Self-Harm
4.2813E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.36301E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
0
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Chuck Hagel
We will ask them.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.1831782982
OpenAI Moderation v1 (007)
Violence
0.0887035509
OpenAI Moderation v1 (007)
Sexual
0.0550642086
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0227753218
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027248736
OpenAI Moderation v1 (007)
Hate
0.0026141834
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025578485
OpenAI Moderation v1 (007)
Self-Harm
0.0017435388
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003507481
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003322119
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.02553E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
3.3
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Andrew Natsios
You will ask them, yes.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.402
Positive
Moderation
Violence
0.0783255906
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0103170081
OpenAI Moderation v1 (007)
Harassment
0.0061489605
OpenAI Moderation v1 (007)
Violence > Graphic
0.004295625
OpenAI Moderation v1 (007)
Hate
0.0008667123
OpenAI Moderation v1 (007)
Sexual
0.0004500132
OpenAI Moderation v1 (007)
Sexual > Minors
8.05507E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.74213E-5
OpenAI Moderation v1 (007)
Self-Harm
2.37181E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.76665E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.0186E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
4.2
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.2
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Chuck Hagel
Of course, I know you cannot speak for them. But I find it interesting that if they are one of the three board members, they were asked to come up and testify and they declined.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.402
Positive
Moderation
Harassment
0.010239306
OpenAI Moderation v1 (007)
Violence
0.0090479218
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0080230253
OpenAI Moderation v1 (007)
Sexual
0.0057503454
OpenAI Moderation v1 (007)
Violence > Graphic
0.001282734
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007832491
OpenAI Moderation v1 (007)
Hate
0.0006275014
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001585681
OpenAI Moderation v1 (007)
Self-Harm
8.36444E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.95636E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.8174E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Prosecution > Witness
Score:
100
Magnitude:
0.052
Code:
2009002
Url:
https://cv.iptc.org/newscodes/subjectcode/02009002
Wikidata_id:
Q196939
Wikidata_label:
witness
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
85.1
Gunning-Fog Score
9.3
Coleman-Liau Index
7.6
SMOG Index
9
Automated Readability Index
6
Dale-Chall Readability Score
2.2
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
6
Chuck Hagel
We will ask that -- Mr. Chairman, I would like to ask that for the OMB Director, because if they are to play this very important and critical role in protecting the American taxpayer then it seems to me they have an opportunity and some responsibility to come up and explain that, and maybe we can have another hearing for them to come up.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.626
Very Positive
Moderation
Harassment
0.0210312181
OpenAI Moderation v1 (007)
Sexual
0.0182938369
OpenAI Moderation v1 (007)
Hate
0.0095345975
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0071456758
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012280197
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009255782
OpenAI Moderation v1 (007)
Violence
0.0008835352
OpenAI Moderation v1 (007)
Self-Harm
0.0007498919
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006400407
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004240481
OpenAI Moderation v1 (007)
Hate > Threatening
3.59421E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50
Gunning-Fog Score
17
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Chuck Hagel
I have other questions, and I will wait till the second round. Thank you very much, gentleman.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0093151888
OpenAI Moderation v1 (007)
Sexual
0.0035939254
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014530655
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011090184
OpenAI Moderation v1 (007)
Violence
0.0009568049
OpenAI Moderation v1 (007)
Hate
0.000453636
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004187008
OpenAI Moderation v1 (007)
Self-Harm
0.0002173615
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.14446E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.17585E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6111E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.4
Flesch-Kincaid Ease
78.8
Gunning-Fog Score
8.1
Coleman-Liau Index
9.8
SMOG Index
9
Automated Readability Index
3.3
Dale-Chall Readability Score
0.4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
3
Richard Lugar
Well, thank you, Senator Hagel.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.557
Very Positive
Moderation
Harassment
0.0325435511
OpenAI Moderation v1 (007)
Violence
0.004365699
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042715237
OpenAI Moderation v1 (007)
Hate
0.0028517698
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019171304
OpenAI Moderation v1 (007)
Sexual
0.0004844164
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002668832
OpenAI Moderation v1 (007)
Hate > Threatening
0.000247254
OpenAI Moderation v1 (007)
Self-Harm
7.02661E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.33327E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.12504E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
3.7
Dale-Chall Readability Score
6.6
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Richard Lugar
Senator Chafee.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
1.2430122122
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0145257276
OpenAI Moderation v1 (007)
Hate
0.006877238
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054415836
OpenAI Moderation v1 (007)
Sexual
0.0046529389
OpenAI Moderation v1 (007)
Violence
0.0039977018
OpenAI Moderation v1 (007)
Self-Harm
0.0017752594
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016994707
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0015444351
OpenAI Moderation v1 (007)
Hate > Threatening
5.54428E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.67371E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
10.2
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Lincoln Chafee
Thank you very much, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
1.0999883525
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2858146792
OpenAI Moderation v1 (007)
Violence
0.0286116061
OpenAI Moderation v1 (007)
Hate
0.0046421868
OpenAI Moderation v1 (007)
Sexual
0.004148174
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019960878
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006569706
OpenAI Moderation v1 (007)
Self-Harm
0.0004812026
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000332989
OpenAI Moderation v1 (007)
Hate > Threatening
0.000136996
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.15378E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
1.2
Coleman-Liau Index
9.6
SMOG Index
3.3
Automated Readability Index
0.5
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Lincoln Chafee
Senator DeWine and I just got back from Guyana and Haiti over the recess, the recent recess. And we were looking at some of the programs that USAID does have as we look at the funding for HIV and AIDS funding coming up.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
0
Neutral
Moderation
Violence
0.3305491991
OpenAI Moderation v1 (007)
Violence > Graphic
0.0791264174
OpenAI Moderation v1 (007)
Harassment
0.0511316408
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0238068897
OpenAI Moderation v1 (007)
Hate
0.0172670814
OpenAI Moderation v1 (007)
Sexual
0.0079955615
OpenAI Moderation v1 (007)
Self-Harm
0.0026926076
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009975872
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005792411
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003879728
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.51722E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease > Aids
Score:
100
Magnitude:
0.099
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Topic:
Health > Disease
Score:
77
Magnitude:
0.077
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Economy, Business and Finance > Company Information > Financing and Stock Offering
Score:
66
Magnitude:
0.066
Code:
4016019
Url:
https://cv.iptc.org/newscodes/subjectcode/04016019
Wikidata_id:
Q1134763
Wikidata_label:
corporate finance
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
68.9
Gunning-Fog Score
8.6
Coleman-Liau Index
8
SMOG Index
9
Automated Readability Index
8.4
Dale-Chall Readability Score
5.8
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Lincoln Chafee
And I was very impressed with the work being done in these countries of extreme hopelessness and great challenges. And the reflection that it has on us as Americans to see this American program out there in such hard to travel conditions making a difference makes me wonder what are the frustrations, Mr. Natsios, with the current USAID program, specifically where are the frustrations that caused you to want to make these changes?
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.16667
Leans Positive
Harvard-IV (Absolute)
0.16667
Leans Positive
Harvard-IV (Logit)
0.31015
VADER
-0.348
Somewhat Negative
Moderation
Harassment
0.1738542342
OpenAI Moderation v1 (007)
Sexual
0.0088663037
OpenAI Moderation v1 (007)
Hate
0.0061424551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025041962
OpenAI Moderation v1 (007)
Violence
0.0021008907
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010239306
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008146899
OpenAI Moderation v1 (007)
Self-Harm
7.28395E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.15871E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.49391E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6752E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Lifestyle and Leisure > Tourism
Score:
100
Magnitude:
0.051
Code:
10006000
Url:
https://cv.iptc.org/newscodes/subjectcode/10006000
Wikidata_id:
Q49389
Wikidata_label:
tourism
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
51.2
Gunning-Fog Score
14.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
19
Andrew Natsios
Thank you, Senator. I am glad you saw two very good programs. I just, in fact, this week met with the President of Guyana, and we discussed the very programs that you saw.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.826
Very Positive
Moderation
Harassment
2.4871084839
OpenAI Moderation v1 (007)
Violence
0.0699157245
OpenAI Moderation v1 (007)
Violence > Graphic
0.0264389819
OpenAI Moderation v1 (007)
Hate
0.0136007162
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0116433046
OpenAI Moderation v1 (007)
Sexual
0.0079700367
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006608931
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001947991
OpenAI Moderation v1 (007)
Self-Harm
0.0001800285
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001258905
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001246432
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.102
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
52
Magnitude:
0.053
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
88
Gunning-Fog Score
4.4
Coleman-Liau Index
7.7
SMOG Index
7.9
Automated Readability Index
2.9
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Andrew Natsios
Well, there are several frustrations. One is we have some very experienced people who work in the Foreign Service in USAID who have been career officers for a long time, and who have worked in the developing world all over the world. The level of detail in the appropriation bill each year in terms of what we will spend, where we will spend it -- I do not mean in broad categories -- is enormous. I mean, you will approve this grant in this country under these circumstances. And it is not a few. It is hundreds of earmarks and requirements. And none of it is malicious. It is very well intentioned, but the effect is to put a huge straitjacket on our people in the field.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
0.491
Positive
Moderation
Sexual
0.0981735298
OpenAI Moderation v1 (007)
Violence
0.0307009876
OpenAI Moderation v1 (007)
Harassment
0.0067947753
OpenAI Moderation v1 (007)
Violence > Graphic
0.0061982901
OpenAI Moderation v1 (007)
Hate
0.0033789129
OpenAI Moderation v1 (007)
Self-Harm
0.0027065946
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0017198607
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010859069
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007140178
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001142602
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.46059E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Sport > Tennis
Score:
100
Magnitude:
0.084
Code:
15065000
Url:
https://cv.iptc.org/newscodes/subjectcode/15065000
Wikidata_id:
Q847
Wikidata_label:
tennis
Source:
IPTC Subject
Topic:
Labor > Employment
Score:
97
Magnitude:
0.082
Code:
9003000
Url:
https://cv.iptc.org/newscodes/subjectcode/09003000
Wikidata_id:
Q656365
Wikidata_label:
employment
Source:
IPTC Subject
Topic:
Social Issue > Demographics > Immigration
Score:
83
Magnitude:
0.07
Code:
14003002
Url:
https://cv.iptc.org/newscodes/subjectcode/14003002
Wikidata_id:
Q131288
Wikidata_label:
immigration
Source:
IPTC Subject
Topic:
Politics
Score:
78
Magnitude:
0.065
Code:
11000000
Url:
https://cv.iptc.org/newscodes/subjectcode/11000000
Wikidata_id:
Q7163
Wikidata_label:
politics
Source:
IPTC Subject
Topic:
Arts, Culture and Entertainment > Culture (General)
Score:
67
Magnitude:
0.057
Code:
1022000
Url:
https://cv.iptc.org/newscodes/subjectcode/01022000
Wikidata_id:
Q11042
Wikidata_label:
culture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
73.9
Gunning-Fog Score
10.4
Coleman-Liau Index
9.2
SMOG Index
10.5
Automated Readability Index
6.4
Dale-Chall Readability Score
3.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
27
Andrew Natsios
I have officers in countries that will say, "We need to spend more money on democracy and governance in this country. That is the critical problem." And we have no democracy money, because it does not have a constituency in Washington or in the United States that is very clear.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.137
Leans Negative
Moderation
Violence > Graphic
0.0084319057
OpenAI Moderation v1 (007)
Sexual
0.0061916493
OpenAI Moderation v1 (007)
Violence
0.003084488
OpenAI Moderation v1 (007)
Harassment
0.0019002135
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002395758
OpenAI Moderation v1 (007)
Self-Harm
0.0001474198
OpenAI Moderation v1 (007)
Sexual > Minors
4.01905E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.79711E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.44062E-5
OpenAI Moderation v1 (007)
Hate
4.1698E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.03E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Politics (General) > Political Systems
Score:
100
Magnitude:
0.472
Code:
11024001
Url:
https://cv.iptc.org/newscodes/subjectcode/11024001
Wikidata_id:
Q28108
Wikidata_label:
political system
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
59.6
Gunning-Fog Score
11.5
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
7.8
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Andrew Natsios
Or another country, a very well governed country, needs help in agriculture; for example, and there is not enough money for agriculture. So the thing the MCA does is to say there are to be no -- the President is very clear on this -- no earmarks.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.693
Very Positive
Moderation
Harassment
0.0109875407
OpenAI Moderation v1 (007)
Sexual
0.00260912
OpenAI Moderation v1 (007)
Violence
0.0015918044
OpenAI Moderation v1 (007)
Hate
0.000866386
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005926037
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002499198
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001337231
OpenAI Moderation v1 (007)
Hate > Threatening
4.16052E-5
OpenAI Moderation v1 (007)
Self-Harm
2.61432E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.377E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.3165E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Agriculture
Score:
100
Magnitude:
0.186
Code:
4001000
Url:
https://cv.iptc.org/newscodes/subjectcode/04001000
Wikidata_id:
Q11451
Wikidata_label:
agriculture
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
63.7
Gunning-Fog Score
12.6
Coleman-Liau Index
9.1
SMOG Index
11.3
Automated Readability Index
9.7
Dale-Chall Readability Score
3.6
Sprache Readability Score
4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Andrew Natsios
The money is going to be programmed within the countries, since they are functioning democracies, using civil society and the parliament and the media and the executive branch. They will make the decisions locally and allocate the resources based on their needs rather than our requirements in terms of sectors and our constituencies in the United States.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.422
Positive
Moderation
Sexual
0.0245410891
OpenAI Moderation v1 (007)
Violence
0.0069267859
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034562458
OpenAI Moderation v1 (007)
Harassment
0.0032373388
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012413875
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004682641
OpenAI Moderation v1 (007)
Self-Harm
0.0001732044
OpenAI Moderation v1 (007)
Hate
6.47923E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.43044E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.54269E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.5223E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Media
Score:
100
Magnitude:
0.14
Code:
4010000
Url:
https://cv.iptc.org/newscodes/subjectcode/04010000
Wikidata_id:
Q56611639
Wikidata_label:
media industry
Source:
IPTC Subject
Topic:
Crime, Law and Justice > Justice and Rights
Score:
80
Magnitude:
0.112
Code:
2007000
Url:
https://cv.iptc.org/newscodes/subjectcode/02007000
Wikidata_id:
Q5167661
Wikidata_label:
justice
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.9
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
23
Andrew Natsios
So I think that a major problem for us and a major frustration for our officers is the lack of flexibility in the existing structure. This has built up over many, many years. I understand why it exists the way it does, but ultimately the decisions of this kind, I think, should be made in a decentralized way.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.431
Negative
Moderation
Sexual
0.0604556932
OpenAI Moderation v1 (007)
Violence
0.0153891771
OpenAI Moderation v1 (007)
Harassment
0.0104174491
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036947364
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016383454
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007248705
OpenAI Moderation v1 (007)
Hate
0.0005454302
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001225556
OpenAI Moderation v1 (007)
Self-Harm
2.20726E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.2663E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4067E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.4
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
13.3
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
8.1
Dale-Chall Readability Score
4
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Lincoln Chafee
As Senator Lugar said and as Mr. Larson said, this is going to be a very selective program. Does that not concern you that -- from my recent experience -- the good will that is generated by having these American programs out there and the reflection on us as a country at this critical time when we need it most. To pull our parameters in so tightly seems like we are going backward.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.69
Very Positive
Moderation
Sexual
0.0075605756
OpenAI Moderation v1 (007)
Violence
0.0047040408
OpenAI Moderation v1 (007)
Harassment
0.0013810885
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006428545
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003660936
OpenAI Moderation v1 (007)
Violence > Graphic
6.1163E-5
OpenAI Moderation v1 (007)
Hate
4.74171E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.57676E-5
OpenAI Moderation v1 (007)
Self-Harm
2.23539E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.98195E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.16601E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.055
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
68.5
Gunning-Fog Score
10.5
Coleman-Liau Index
9.2
SMOG Index
11.3
Automated Readability Index
7.5
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
John Larson
If I could comment briefly on that, Senator. We believe it is very, very important for the MCA not to come at the expense of either USAID as an institution or the other programs that you have already mentioned.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.327
Somewhat Positive
Moderation
Harassment
0.003792399
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037917482
OpenAI Moderation v1 (007)
Violence
0.0032144631
OpenAI Moderation v1 (007)
Sexual
0.0010080438
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005630122
OpenAI Moderation v1 (007)
Hate
0.0003494453
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001894419
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001569174
OpenAI Moderation v1 (007)
Self-Harm
0.0001425699
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.45202E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.5451E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
54.7
Gunning-Fog Score
11.9
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
8.6
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
John Larson
For example, the President on HIV/AIDS has called for a dramatic expansion of this over the next 5 years, proposing $10 billion of new money, most of which would be, I expect, administered through USAID and go to countries based on where this disease is the most serious and where our money is most badly needed.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.603
Very Negative
Moderation
Violence
0.0163739562
OpenAI Moderation v1 (007)
Harassment
0.0133760375
OpenAI Moderation v1 (007)
Hate
0.0039402021
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013267665
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005522148
OpenAI Moderation v1 (007)
Sexual
0.0005197707
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003110823
OpenAI Moderation v1 (007)
Hate > Threatening
0.000110771
OpenAI Moderation v1 (007)
Self-Harm
3.81612E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.15156E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.4877E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Health > Disease
Score:
100
Magnitude:
0.287
Code:
7001000
Url:
https://cv.iptc.org/newscodes/subjectcode/07001000
Wikidata_id:
Q814207
Wikidata_label:
illness
Source:
IPTC Subject
Topic:
Health > Disease > Aids
Score:
95
Magnitude:
0.271
Code:
7001003
Url:
https://cv.iptc.org/newscodes/subjectcode/07001003
Wikidata_id:
Q12199
Wikidata_label:
HIV/AIDS
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.3
Gunning-Fog Score
19
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
17
John Larson
We are proposing to increase our commitment on things like fighting famine and emergency relief. So we intend to be present in countries where there is a need and where there is an adequate commitment to reform. But we do also believe that this new program, which involves a very, very substantial increase in resources, should be focused in those places where you know you can get the best developmental outcome for every dollar you spend.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
0.963
Very Positive
Moderation
Harassment
0.8853172883
OpenAI Moderation v1 (007)
Hate
0.0028857419
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013098233
OpenAI Moderation v1 (007)
Violence
0.0004669561
OpenAI Moderation v1 (007)
Sexual
0.0003949154
OpenAI Moderation v1 (007)
Self-Harm
0.0003477678
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003072957
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.14569E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.71003E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.64693E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.436E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Science and Technology > Science (General)
Score:
100
Magnitude:
0.052
Code:
13009000
Url:
https://cv.iptc.org/newscodes/subjectcode/13009000
Wikidata_id:
Q34104
Wikidata_label:
science and technology
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.9
Gunning-Fog Score
15.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
John Larson
And by doing that, we think we can foster greater economic reform. We believe that there will be strong support from the American people and the Congress for these types of initiatives, because they will see the results that we are producing.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.818
Very Positive
Moderation
Harassment
0.2075897995
OpenAI Moderation v1 (007)
Violence
0.0064927663
OpenAI Moderation v1 (007)
Sexual
0.0029660381
OpenAI Moderation v1 (007)
Hate
0.0029121489
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028434002
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011885183
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001141861
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007058594
OpenAI Moderation v1 (007)
Self-Harm
0.000301837
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001783704
OpenAI Moderation v1 (007)
Hate > Threatening
4.06618E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Economy, Business and Finance > Economy (General)
Score:
100
Magnitude:
0.121
Code:
4017000
Url:
https://cv.iptc.org/newscodes/subjectcode/04017000
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Subject
Topic:
Politics > Election
Score:
82
Magnitude:
0.099
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Topic:
Social Issue > People
Score:
50
Magnitude:
0.06
Code:
14024000
Url:
https://cv.iptc.org/newscodes/subjectcode/14024000
Wikidata_id:
Q1156970
Wikidata_label:
humanity
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
60.6
Gunning-Fog Score
11.3
Coleman-Liau Index
11.8
SMOG Index
11.3
Automated Readability Index
11.2
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12
Lincoln Chafee
Mr. Natsios, I will also ask in my limited time remaining, your agency will not be on the board, is that correct? And, obviously, the question must be someone that is -- an agency that is so experienced in this area, and all the challenges that come with it -- we recognize the challenges for trying to make every dollar stretch as far as it can, but all the experience it has to not be on the board is -- to me, is perplexing what is the answer?
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.131
Leans Negative
Moderation
Harassment
0.0263277703
OpenAI Moderation v1 (007)
Self-Harm
0.0082191233
OpenAI Moderation v1 (007)
Violence
0.007864595
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0077589444
OpenAI Moderation v1 (007)
Hate
0.0069003356
OpenAI Moderation v1 (007)
Sexual
0.0047899401
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010022291
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007673793
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006277037
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.98544E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.68797E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Human Interest > Curiosity
Score:
100
Magnitude:
0.062
Code:
8002000
Url:
https://cv.iptc.org/newscodes/subjectcode/08002000
Wikidata_id:
Q361306
Wikidata_label:
human interest story
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
58.6
Gunning-Fog Score
17.9
Coleman-Liau Index
7.9
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
4.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Andrew Natsios
Well, first, I just want to say, we support the legislation as it is written. We have a representative on the board. His name is Colin Powell. He is the Secretary of State. He is my boss. I am at the Deputy Secretary's level. I am not equivalent to the Cabinet Secretary, and that is who are on the board, people of that rank.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.625
Very Positive
Moderation
Harassment
0.2444785321
OpenAI Moderation v1 (007)
Hate
0.0482367905
OpenAI Moderation v1 (007)
Sexual
0.013179869
OpenAI Moderation v1 (007)
Violence
0.0023942566
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013724584
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007531638
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007199192
OpenAI Moderation v1 (007)
Self-Harm
0.0001025532
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.39811E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.27448E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.4994E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Election
Score:
100
Magnitude:
0.377
Code:
11003000
Url:
https://cv.iptc.org/newscodes/subjectcode/11003000
Wikidata_id:
Q40231
Wikidata_label:
public election
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.1
Flesch-Kincaid Ease
74.6
Gunning-Fog Score
5.5
Coleman-Liau Index
7.2
SMOG Index
9.4
Automated Readability Index
1.5
Dale-Chall Readability Score
3.4
Sprache Readability Score
3
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Andrew Natsios
So, why have two people from the foreign policy apparatus? We have our representative. He is the Secretary of State on the board.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0
Neutral
Moderation
Harassment
0.0725875725
OpenAI Moderation v1 (007)
Violence
0.0084190258
OpenAI Moderation v1 (007)
Hate
0.0024600773
OpenAI Moderation v1 (007)
Sexual
0.0015618609
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010344256
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002278904
OpenAI Moderation v1 (007)
Self-Harm
0.0001673135
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001260452
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001038784
OpenAI Moderation v1 (007)
Hate > Threatening
7.24963E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.13613E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Diplomacy > International Relations
Score:
100
Magnitude:
0.348
Code:
11002002
Url:
https://cv.iptc.org/newscodes/subjectcode/11002002
Wikidata_id:
Q166542
Wikidata_label:
international relations
Source:
IPTC Subject
Topic:
Politics > Politics (General)
Score:
57
Magnitude:
0.197
Code:
11024000
Url:
https://cv.iptc.org/newscodes/subjectcode/11024000
Wikidata_id:
Q11827330
Wikidata_label:
political process
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
63
Gunning-Fog Score
8.3
Coleman-Liau Index
10.5
SMOG Index
9.9
Automated Readability Index
3.5
Dale-Chall Readability Score
3.8
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Andrew Natsios
If I could tell a quick story, though, on the last question? We had the speaker of the parliament of a country -- I will not embarrass the country, which has a corruption problem but does well in all the other indicators. He came in and he said, "Well, we want to be eligible for the MCA."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
0.622
Very Positive
Moderation
Sexual
0.0103113329
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060001916
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028569117
OpenAI Moderation v1 (007)
Violence
0.0018723817
OpenAI Moderation v1 (007)
Harassment
0.001684113
OpenAI Moderation v1 (007)
Hate
0.0011022545
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006662035
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.47289E-5
OpenAI Moderation v1 (007)
Self-Harm
9.13204E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.92036E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.4557E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Arts, Culture and Entertainment > Literature
Score:
100
Magnitude:
0.072
Code:
1010000
Url:
https://cv.iptc.org/newscodes/subjectcode/01010000
Wikidata_id:
Q8242
Wikidata_label:
literature
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
71.6
Gunning-Fog Score
11
Coleman-Liau Index
7.4
SMOG Index
10.6
Automated Readability Index
6.5
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Andrew Natsios
I said, "Well, I am afraid you are not going to be, because there are four pieces of legislation that have been languishing in your parliament for 3 years now that you refuse to pass to clean up this corruption problem. And I am very sorry, but you are probably not going to be eligible."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.75
Very Negative
Harvard-IV (Absolute)
-0.75
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
0.133
Leans Positive
Moderation
Harassment
0.0506627199
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0067573746
OpenAI Moderation v1 (007)
Violence
0.0019293548
OpenAI Moderation v1 (007)
Sexual
0.0017094608
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003452626
OpenAI Moderation v1 (007)
Hate
0.0001856646
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001678233
OpenAI Moderation v1 (007)
Hate > Threatening
3.47552E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44079E-5
OpenAI Moderation v1 (007)
Self-Harm
3.0516E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7179E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.073
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
62
Gunning-Fog Score
15.4
Coleman-Liau Index
8.3
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
7
Andrew Natsios
He did not say anything. I asked our Mission Director yesterday what effect did that have. He said it has caused convulsions in the capital.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0
Neutral
Moderation
Harassment > Threatening
0.0220673464
OpenAI Moderation v1 (007)
Violence
0.0113616064
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046118246
OpenAI Moderation v1 (007)
Sexual
0.002978828
OpenAI Moderation v1 (007)
Harassment
0.0020259131
OpenAI Moderation v1 (007)
Hate
0.0017057104
OpenAI Moderation v1 (007)
Hate > Threatening
0.0016344486
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007556401
OpenAI Moderation v1 (007)
Self-Harm
0.000244633
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002210741
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.72068E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
63
Gunning-Fog Score
9.7
Coleman-Liau Index
10.8
SMOG Index
11.3
Automated Readability Index
4
Dale-Chall Readability Score
4.2
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
9
Andrew Natsios
They went to see the President. They said, "you know, we could not be eligible for this just because we did not get this legislation through and we are not implementing it. And that is a lot of money that we are going to lose."
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.33333
Somewhat Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.51083
VADER
-0.402
Negative
Moderation
Sexual
0.030688991
OpenAI Moderation v1 (007)
Violence > Graphic
0.0132736925
OpenAI Moderation v1 (007)
Violence
0.0067346533
OpenAI Moderation v1 (007)
Harassment
0.0045037039
OpenAI Moderation v1 (007)
Hate
0.0030719035
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023063383
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008486505
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003065955
OpenAI Moderation v1 (007)
Hate > Threatening
6.85001E-5
OpenAI Moderation v1 (007)
Self-Harm
3.70348E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8824E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Crime, Law and Justice > Laws
Score:
100
Magnitude:
0.065
Code:
2006000
Url:
https://cv.iptc.org/newscodes/subjectcode/02006000
Wikidata_id:
Q7748
Wikidata_label:
law
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
84.5
Gunning-Fog Score
8.7
Coleman-Liau Index
7.2
SMOG Index
9
Automated Readability Index
4.5
Dale-Chall Readability Score
2.1
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Andrew Natsios
So they are actually now for the first time in 3 years taking this seriously. Because it is such a large amount of money and the incentive is so big, it is changing countries that might not be eligible. That helps us in the existing USAID program in a country, because our biggest impediment to doing development in that country is the corruption problem. And they are now facing it, because they realize it has done damage to them for their eligibility.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.202
Slightly Negative
Moderation
Sexual
0.0049370123
OpenAI Moderation v1 (007)
Self-Harm
0.0028949373
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028533093
OpenAI Moderation v1 (007)
Harassment
0.0022809218
OpenAI Moderation v1 (007)
Violence
0.0018072387
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008769113
OpenAI Moderation v1 (007)
Hate
0.0006874618
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004485311
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004082779
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.51086E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.9265E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
56
Gunning-Fog Score
13.1
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Senator Chaffee
It appears the parameters are still tight for that. Thank you.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.0070699789
OpenAI Moderation v1 (007)
Violence
0.0018492292
OpenAI Moderation v1 (007)
Hate
0.0003898529
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003829105
OpenAI Moderation v1 (007)
Sexual
0.0001584256
OpenAI Moderation v1 (007)
Violence > Graphic
7.00174E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.41472E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.65505E-5
OpenAI Moderation v1 (007)
Self-Harm
2.6E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.63E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.83E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
5.8
Coleman-Liau Index
10.9
SMOG Index
7.3
Automated Readability Index
2.7
Dale-Chall Readability Score
1.7
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Richard Lugar
Thank you very much, Senator Chafee.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.361
Somewhat Positive
Moderation
Harassment
0.1138013555
OpenAI Moderation v1 (007)
Hate
0.0218807749
OpenAI Moderation v1 (007)
Violence
0.0155741596
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0130665358
OpenAI Moderation v1 (007)
Violence > Graphic
0.003810351
OpenAI Moderation v1 (007)
Sexual
0.0005940097
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001817591
OpenAI Moderation v1 (007)
Sexual > Minors
3.80915E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.46099E-5
OpenAI Moderation v1 (007)
Self-Harm
2.23295E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.73732E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Politics > Parliament
Score:
100
Magnitude:
0.139
Code:
11009000
Url:
https://cv.iptc.org/newscodes/subjectcode/11009000
Wikidata_id:
Q35749
Wikidata_label:
parliament
Source:
IPTC Subject
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
59.7
Gunning-Fog Score
2.4
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
4.3
Dale-Chall Readability Score
5.6
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Richard Lugar
Senator Brownback.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0
Neutral
Moderation
Harassment
0.1233782037
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0246904034
OpenAI Moderation v1 (007)
Hate
0.0134444112
OpenAI Moderation v1 (007)
Violence
0.0075952186
OpenAI Moderation v1 (007)
Sexual
0.0036492387
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008103522
OpenAI Moderation v1 (007)
Self-Harm
0.0004063528
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003372134
OpenAI Moderation v1 (007)
Hate > Threatening
6.99809E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.10615E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.60532E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
0.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sam Brownback
Thank you, Mr. Chairman.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.017887968
OpenAI Moderation v1 (007)
Harassment
0.0078555488
OpenAI Moderation v1 (007)
Sexual
0.0063408894
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025335523
OpenAI Moderation v1 (007)
Self-Harm
0.0015610271
OpenAI Moderation v1 (007)
Hate
0.0006150277
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006119626
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005861271
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001150071
OpenAI Moderation v1 (007)
Hate > Threatening
6.004E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6713E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
99.1
Gunning-Fog Score
0.8
Coleman-Liau Index
10.6
SMOG Index
3.3
Automated Readability Index
0.8
Dale-Chall Readability Score
8
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Sam Brownback
Gentlemen, thank you for coming here and, Mr. Chairman, thank you for holding the hearing.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
1
Very Positive
Harvard-IV (Absolute)
1
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.612
Very Positive
Moderation
Sexual
0.0049746835
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026487285
OpenAI Moderation v1 (007)
Sexual > Minors
0.0025299572
OpenAI Moderation v1 (007)
Harassment
0.001597166
OpenAI Moderation v1 (007)
Violence
0.0013106792
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007671744
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003314859
OpenAI Moderation v1 (007)
Hate
0.0001675276
OpenAI Moderation v1 (007)
Self-Harm
6.17178E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.59285E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8382E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.9
Flesch-Kincaid Ease
80.8
Gunning-Fog Score
3
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
4.6
Dale-Chall Readability Score
3.5
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
6
Sam Brownback
I want to compliment the administration on this Millennium Challenge Account and Millennium Challenge Corporation.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
0.572
Very Positive
Moderation
Violence
0.0066562672