Fact
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Senate Floor: UNANIMOUS-CONSENT AGREEMENT
Topics
Entities
Moderation
21 Speakers
Topics
No topics found
Entities
No entities found
Moderation
No moderation found
Speakers
Dale Bumpers Dale Bumpers said 268 sentences of a total of 1375 sentences.
20%
Dale Bumpers said 3793 words of a total of 21123 words.
18%
Ted Kennedy Ted Kennedy said 201 sentences of a total of 1375 sentences.
15%
Ted Kennedy said 3551 words of a total of 21123 words.
17%
Jeff Bingaman Jeff Bingaman said 98 sentences of a total of 1375 sentences.
8%
Jeff Bingaman said 2384 words of a total of 21123 words.
12%
Thad Cochran Thad Cochran said 102 sentences of a total of 1375 sentences.
8%
Thad Cochran said 1712 words of a total of 21123 words.
9%
Tom Harkin Tom Harkin said 103 sentences of a total of 1375 sentences.
8%
Tom Harkin said 1570 words of a total of 21123 words.
8%
John Chafee John Chafee said 77 sentences of a total of 1375 sentences.
6%
John Chafee said 1468 words of a total of 21123 words.
7%
Dianne Feinstein Dianne Feinstein said 63 sentences of a total of 1375 sentences.
5%
Dianne Feinstein said 970 words of a total of 21123 words.
5%
Paul Simon Paul Simon said 67 sentences of a total of 1375 sentences.
5%
Paul Simon said 909 words of a total of 21123 words.
5%
George J. Mitchell George J. Mitchell said 64 sentences of a total of 1375 sentences.
5%
George J. Mitchell said 881 words of a total of 21123 words.
5%
Jim Jeffords Jim Jeffords said 40 sentences of a total of 1375 sentences.
3%
Jim Jeffords said 846 words of a total of 21123 words.
5%
The Presiding Officer The Presiding Officer said 124 sentences of a total of 1375 sentences.
10%
The Presiding Officer said 627 words of a total of 21123 words.
3%
Pete Domenici Pete Domenici said 27 sentences of a total of 1375 sentences.
2%
Pete Domenici said 573 words of a total of 21123 words.
3%
Mark Hatfield Mark Hatfield said 19 sentences of a total of 1375 sentences.
2%
Mark Hatfield said 413 words of a total of 21123 words.
2%
Claiborne Pell Claiborne Pell said 18 sentences of a total of 1375 sentences.
2%
Claiborne Pell said 366 words of a total of 21123 words.
2%
Orrin Hatch Orrin Hatch said 30 sentences of a total of 1375 sentences.
3%
Orrin Hatch said 338 words of a total of 21123 words.
2%
Arlen Specter Arlen Specter said 11 sentences of a total of 1375 sentences.
1%
Arlen Specter said 216 words of a total of 21123 words.
2%
Joe Biden Joe Biden said 11 sentences of a total of 1375 sentences.
1%
Joe Biden said 157 words of a total of 21123 words.
1%
Frank Murkowski Frank Murkowski said 17 sentences of a total of 1375 sentences.
2%
Frank Murkowski said 110 words of a total of 21123 words.
1%
Robert Byrd Robert Byrd said 6 sentences of a total of 1375 sentences.
1%
Robert Byrd said 65 words of a total of 21123 words.
1%
Malcolm Wallop Malcolm Wallop said 4 sentences of a total of 1375 sentences.
1%
Malcolm Wallop said 31 words of a total of 21123 words.
1%
Bob Graham Bob Graham said 2 sentences of a total of 1375 sentences.
1%
Bob Graham said 19 words of a total of 21123 words.
1%
Full Transcript
George J. Mitchell
Mr. President, as if in executive session, I ask unanimous consent that at 9 a.m. on Friday, July 29, the Senate proceed to executive session to consider the nomination of Stephen Breyer to be an Associate Justice of the Supreme Court; that there be 6 hours for debate to be equally divided between the chairman and ranking member of the Judiciary Committee or their designees; that following the using or yielding back of time, the Senate vote, without any intervening action, on the nomination; that if confirmed, the motion to reconsider be tabled, and the President be immediately notified of the Senate's action; and the Senate return to legislative session.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.38462
Somewhat Positive
Harvard-IV (Absolute)
0.38462
Somewhat Positive
Harvard-IV (Logit)
0.74721
VADER
0.836
Very Positive
Moderation
Violence
0.4601612687
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1793481992
OpenAI Moderation v1 (007)
Violence > Graphic
0.1425444614
OpenAI Moderation v1 (007)
Sexual
0.0194062668
OpenAI Moderation v1 (007)
Harassment
0.0193566288
OpenAI Moderation v1 (007)
Hate
0.0094706957
OpenAI Moderation v1 (007)
Self-Harm
0.003285785
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020290337
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011885591
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.04716E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.9818E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
26.477
Magnitude:
108
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.3
Gunning-Fog Score
17.6
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
45
Sprache Difficult Word Count
41
The Presiding Officer
The PRESIDING OFFICER.
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)
1.09861
VADER
0
Neutral
Moderation
Violence
0.0362439547
OpenAI Moderation v1 (007)
Sexual
0.0092497306
OpenAI Moderation v1 (007)
Harassment
0.0024028735
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016072321
OpenAI Moderation v1 (007)
Hate
0.0004071662
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002721861
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002478
OpenAI Moderation v1 (007)
Self-Harm
5.38915E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5362E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.9151E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.724E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
34.6
Gunning-Fog Score
7.9
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
7.5
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Jim Jeffords
Reserving the right to object, I just say it has been cleared on our side of the aisle and we have no objection to the request.
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)
2.19722
VADER
-0.202
Slightly Negative
Moderation
Violence
0.1527047134
OpenAI Moderation v1 (007)
Violence > Graphic
0.1507711946
OpenAI Moderation v1 (007)
Sexual
0.0218570669
OpenAI Moderation v1 (007)
Sexual > Minors
0.0138652133
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003799715
OpenAI Moderation v1 (007)
Harassment
0.0015372523
OpenAI Moderation v1 (007)
Hate
0.0002282347
OpenAI Moderation v1 (007)
Hate > Threatening
0.000124121
OpenAI Moderation v1 (007)
Self-Harm
0.0001050175
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.41265E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.04536E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
76.3
Gunning-Fog Score
11.9
Coleman-Liau Index
6.8
SMOG Index
11.3
Automated Readability Index
9.7
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Jim Jeffords
I withdraw the reservation.
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 > Minors
0.1539910794
OpenAI Moderation v1 (007)
Violence
0.1352980849
OpenAI Moderation v1 (007)
Harassment
0.0575586047
OpenAI Moderation v1 (007)
Sexual
0.0426783779
OpenAI Moderation v1 (007)
Violence > Graphic
0.0254332874
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0194820939
OpenAI Moderation v1 (007)
Hate
0.0044274359
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002171671
OpenAI Moderation v1 (007)
Self-Harm
5.52691E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.09618E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44695E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
33.6
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
7.7
Dale-Chall Readability Score
8.1
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
The Presiding Officer
The PRESIDING OFFICER.
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
Neutral
Moderation
Violence
0.0163980498
OpenAI Moderation v1 (007)
Harassment
0.0156001697
OpenAI Moderation v1 (007)
Sexual
0.0066497203
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045836103
OpenAI Moderation v1 (007)
Self-Harm
0.0045684414
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0040689651
OpenAI Moderation v1 (007)
Hate
0.0038934675
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021942375
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006402213
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001225594
OpenAI Moderation v1 (007)
Hate > Threatening
4.32002E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
George J. Mitchell
Mr. President, although not included in the agreement, I wish to state my intention that when the Senate votes on the Breyer nomination tomorrow, it will be the last vote of the day.
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
0.71
Very Positive
Moderation
Harassment
0.1989577897
OpenAI Moderation v1 (007)
Violence
0.1835133065
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0321453088
OpenAI Moderation v1 (007)
Hate
0.0188013131
OpenAI Moderation v1 (007)
Violence > Graphic
0.006367029
OpenAI Moderation v1 (007)
Sexual
0.0052969757
OpenAI Moderation v1 (007)
Sexual > Minors
8.28507E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.48142E-5
OpenAI Moderation v1 (007)
Self-Harm
2.6564E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.35341E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.25438E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
95.433
Magnitude:
22
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
67
Gunning-Fog Score
12.7
Coleman-Liau Index
10.1
SMOG Index
12
Automated Readability Index
7.5
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
George J. Mitchell
Mr. KENNEDY addressed the Chair.
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
0.0330439274
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0157618619
OpenAI Moderation v1 (007)
Self-Harm
0.0125937484
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0114650073
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0056422767
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033363303
OpenAI Moderation v1 (007)
Sexual
0.0027185641
OpenAI Moderation v1 (007)
Harassment
0.0023707749
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013316532
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004466312
OpenAI Moderation v1 (007)
Hate
0.0003896306
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
4.3
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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 > Threatening
0.0036995138
OpenAI Moderation v1 (007)
Harassment
0.0011607597
OpenAI Moderation v1 (007)
Violence
0.0007322708
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003283265
OpenAI Moderation v1 (007)
Sexual
0.0002096336
OpenAI Moderation v1 (007)
Sexual > Minors
8.67649E-5
OpenAI Moderation v1 (007)
Hate
8.11494E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.53871E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.01303E-5
OpenAI Moderation v1 (007)
Self-Harm
1.60115E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.281E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
97.765
Magnitude:
59
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.9
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.3
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
Mr. President, I would just like to indicate that I hope the Senate will accept the Byrd amendments. The first amendment requires, as the Senator has pointed out, the collection of data on school violence in elementary and secondary schools and submitting a report to Congress by January 1998.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.44
Positive
Moderation
Violence
0.0835932966
OpenAI Moderation v1 (007)
Violence > Graphic
0.0131080655
OpenAI Moderation v1 (007)
Sexual
0.0048492246
OpenAI Moderation v1 (007)
Hate
0.0018913401
OpenAI Moderation v1 (007)
Harassment
0.0015338375
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015081179
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001133872
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001095324
OpenAI Moderation v1 (007)
Self-Harm
4.16363E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.1209E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.44E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
79.361
Magnitude:
24
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
52.1
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.3
Dale-Chall Readability Score
6.6
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
20
Ted Kennedy
The second one requires the LEA's to refer to criminal justice or juvenile authority any student who brings a gun to school.
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
-0.273
Slightly Negative
Moderation
Sexual
0.0116990159
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060134465
OpenAI Moderation v1 (007)
Violence
0.00476651
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032574157
OpenAI Moderation v1 (007)
Harassment
0.0019063049
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003553344
OpenAI Moderation v1 (007)
Hate
9.66985E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.42136E-5
OpenAI Moderation v1 (007)
Self-Harm
1.50824E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.7273E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.8057E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
98.103
Magnitude:
42
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
49.9
Gunning-Fog Score
14.3
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
6.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Ted Kennedy
Let me just mention, I hope both amendments will be accepted.
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
0.612
Very Positive
Moderation
Violence > Graphic
0.1072056009
OpenAI Moderation v1 (007)
Violence
0.0663513551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0208547965
OpenAI Moderation v1 (007)
Harassment
0.0184462042
OpenAI Moderation v1 (007)
Sexual
0.0118131349
OpenAI Moderation v1 (007)
Hate
0.0052198335
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021467908
OpenAI Moderation v1 (007)
Self-Harm
0.0011243212
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004968233
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001692284
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.22259E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
20.943
Magnitude:
32
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
72.6
Gunning-Fog Score
11.7
Coleman-Liau Index
10.4
SMOG Index
11.3
Automated Readability Index
5.1
Dale-Chall Readability Score
4.9
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
I will take 1 minute of time.
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
0.0208211786
OpenAI Moderation v1 (007)
Sexual
0.0153951798
OpenAI Moderation v1 (007)
Harassment
0.0097429016
OpenAI Moderation v1 (007)
Violence > Graphic
0.0087894048
OpenAI Moderation v1 (007)
Hate
0.0031925068
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027750275
OpenAI Moderation v1 (007)
Self-Harm
0.0010688077
OpenAI Moderation v1 (007)
Sexual > Minors
0.000610631
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003416267
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44259E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0062E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.8
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ted Kennedy
We have in my own State in Lawrence, MA, an enormously interesting program that has been stimulated by the district attorney where they work with the school officials, the youth service, the educators and the social service agencies and have prioritized and ranked the juveniles who are the most threatening and have been the repeaters in terms of violence.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.599
Very Negative
Moderation
Violence
0.0813704217
OpenAI Moderation v1 (007)
Sexual
0.0399390847
OpenAI Moderation v1 (007)
Violence > Graphic
0.0229953104
OpenAI Moderation v1 (007)
Sexual > Minors
0.0209279606
OpenAI Moderation v1 (007)
Hate
0.0084360392
OpenAI Moderation v1 (007)
Harassment
0.0038003276
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032489959
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007365411
OpenAI Moderation v1 (007)
Self-Harm
0.0003770553
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.30841E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.0297E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
12.2
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
17
Sprache Difficult Word Count
22
Ted Kennedy
They have accelerated the attention for those who have been the most violent and also have worked with those to free some of them from various gangs and gang activities.
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
-0.218
Slightly Negative
Moderation
Violence > Graphic
0.0942234881
OpenAI Moderation v1 (007)
Violence
0.0488456921
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0191228071
OpenAI Moderation v1 (007)
Harassment
0.0142897508
OpenAI Moderation v1 (007)
Sexual
0.0104139232
OpenAI Moderation v1 (007)
Hate
0.0022296328
OpenAI Moderation v1 (007)
Self-Harm
0.0016208729
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008324029
OpenAI Moderation v1 (007)
Hate > Threatening
4.83717E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.71847E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.6225E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.562
Magnitude:
58
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.3
Gunning-Fog Score
18.7
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Ted Kennedy
It has had a profound effect and impact on stability in the school and also in terms of incidence of violence within the community.
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 Negative
Moderation
Violence
0.4623066634
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1826762804
OpenAI Moderation v1 (007)
Violence > Graphic
0.1453906414
OpenAI Moderation v1 (007)
Harassment
0.019662366
OpenAI Moderation v1 (007)
Sexual
0.0195753077
OpenAI Moderation v1 (007)
Hate
0.0095878895
OpenAI Moderation v1 (007)
Self-Harm
0.0033642416
OpenAI Moderation v1 (007)
Hate > Threatening
0.0020944532
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012239335
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.22385E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.04579E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
22.173
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45
Gunning-Fog Score
16.3
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
6.5
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Ted Kennedy
So this kind of amendment will, one, give information, so if others want to develop not just community policing, this is really a community sort of prosecution, and it has been well accepted and appreciated by all the different community leaders there.
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
0.346
Somewhat Positive
Moderation
Violence
0.2659986494
OpenAI Moderation v1 (007)
Violence > Graphic
0.1083443756
OpenAI Moderation v1 (007)
Sexual
0.0934410375
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0288998272
OpenAI Moderation v1 (007)
Harassment
0.0151247601
OpenAI Moderation v1 (007)
Hate
0.0095127471
OpenAI Moderation v1 (007)
Sexual > Minors
0.0084554325
OpenAI Moderation v1 (007)
Self-Harm
0.0045395878
OpenAI Moderation v1 (007)
Hate > Threatening
0.0029470346
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000152318
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.51806E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
13.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11
Ted Kennedy
I think the kind of amendment that the Senator has offered can help and assist in getting that kind of information and that kind of awareness for other communities across the country.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.402
Positive
Moderation
Sexual
0.0309937226
OpenAI Moderation v1 (007)
Violence
0.0150542997
OpenAI Moderation v1 (007)
Sexual > Minors
0.0042503008
OpenAI Moderation v1 (007)
Hate
0.004194097
OpenAI Moderation v1 (007)
Violence > Graphic
0.0033336713
OpenAI Moderation v1 (007)
Harassment
0.0021104492
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008576032
OpenAI Moderation v1 (007)
Self-Harm
6.93312E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.7891E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.9772E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.811E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.2
Gunning-Fog Score
17.8
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
8
Sprache Difficult Word Count
9
Ted Kennedy
So, Mr. President, I urge adoption of the amendment.
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
0.0392187008
OpenAI Moderation v1 (007)
Sexual
0.0070197013
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042729902
OpenAI Moderation v1 (007)
Harassment
0.0041438332
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009453351
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007819503
OpenAI Moderation v1 (007)
Self-Harm
0.0001834389
OpenAI Moderation v1 (007)
Hate
4.85028E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.8736E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.9971E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.649E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
10.7
Coleman-Liau Index
10.3
SMOG Index
9
Automated Readability Index
1.8
Dale-Chall Readability Score
9
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
The Presiding Officer
The PRESIDING OFFICER.
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
0.0644540763
OpenAI Moderation v1 (007)
Violence
0.0523543102
OpenAI Moderation v1 (007)
Hate
0.0168966784
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0059935919
OpenAI Moderation v1 (007)
Violence > Graphic
0.0046067042
OpenAI Moderation v1 (007)
Sexual
0.0041095562
OpenAI Moderation v1 (007)
Self-Harm
0.0007202666
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004828501
OpenAI Moderation v1 (007)
Sexual > Minors
8.46902E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2167E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.497E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
76.6
Gunning-Fog Score
5.7
Coleman-Liau Index
10.9
SMOG Index
10.3
Automated Readability Index
3.2
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Jim Jeffords
Mr. President, I also would like to join in commending the senior Senator from West Virginia for not only the excellent amendment but the excellent discussion on the problem of education. I agree with him wholeheartedly that before we act we must have the information and data necessary to do that. This will help us in that quest.
Sentiment
Loughran McDonald (Relative)
0.5
Positive
Loughran McDonald (Absolute)
0.5
Positive
Loughran McDonald (Logit)
0.8473
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.882
Very Positive
Moderation
Violence
0.2793315332
OpenAI Moderation v1 (007)
Violence > Graphic
0.1046690391
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0182045362
OpenAI Moderation v1 (007)
Sexual
0.01610498
OpenAI Moderation v1 (007)
Harassment
0.0131070294
OpenAI Moderation v1 (007)
Hate
0.0046318921
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017299608
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011536636
OpenAI Moderation v1 (007)
Self-Harm
0.0003645666
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001090597
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.35145E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.6
Flesch-Kincaid Ease
52.1
Gunning-Fog Score
12.7
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
7.7
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Robert Byrd
Mr. President, I thank both managers. Inasmuch as they have expressed a willingness to accept the amendments, I send the amendments to the desk. I ask unanimous consent that they be considered en bloc, agreed to en bloc, and that the motions to reconsider be laid on the table en bloc.
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
0.848
Very Positive
Moderation
Sexual
0.0047148638
OpenAI Moderation v1 (007)
Violence
0.0044155535
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043301978
OpenAI Moderation v1 (007)
Harassment
0.004010685
OpenAI Moderation v1 (007)
Violence > Graphic
0.002405425
OpenAI Moderation v1 (007)
Hate
0.0001933145
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001590468
OpenAI Moderation v1 (007)
Hate > Threatening
7.90616E-5
OpenAI Moderation v1 (007)
Self-Harm
7.1804E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.58409E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3401E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
11.4
Coleman-Liau Index
10.4
SMOG Index
11.3
Automated Readability Index
5.9
Dale-Chall Readability Score
6.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16
The Presiding Officer
The PRESIDING OFFICER.
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
0.226
Slightly Positive
Moderation
Violence
0.055855047
OpenAI Moderation v1 (007)
Violence > Graphic
0.0430029584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0050553328
OpenAI Moderation v1 (007)
Harassment
0.0038228056
OpenAI Moderation v1 (007)
Sexual
0.0022606739
OpenAI Moderation v1 (007)
Self-Harm
0.0014154329
OpenAI Moderation v1 (007)
Hate
0.001154619
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002097866
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001265639
OpenAI Moderation v1 (007)
Sexual > Minors
8.22414E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.6076E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
37.896
Magnitude:
4
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
32.1
Gunning-Fog Score
9.5
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
8.3
Dale-Chall Readability Score
7.5
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
The clerk will report the amendments.
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 > Graphic
0.0609114475
OpenAI Moderation v1 (007)
Violence
0.0381974416
OpenAI Moderation v1 (007)
Sexual
0.0052257052
OpenAI Moderation v1 (007)
Self-Harm
0.0014489958
OpenAI Moderation v1 (007)
Harassment
0.001442389
OpenAI Moderation v1 (007)
Hate
0.0009732829
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006796723
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006025508
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001608362
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001057589
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.92211E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
73.8
Gunning-Fog Score
9.1
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
Robert Byrd
Mr. President, I ask unanimous consent that reading of the amendments be dispensed with.
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
0.226
Slightly Positive
Moderation
Harassment
3.8680862635
OpenAI Moderation v1 (007)
Violence
0.0525197014
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0384455314
OpenAI Moderation v1 (007)
Hate
0.0300416927
OpenAI Moderation v1 (007)
Sexual > Minors
0.0112804584
OpenAI Moderation v1 (007)
Violence > Graphic
0.008003402
OpenAI Moderation v1 (007)
Sexual
0.0033460041
OpenAI Moderation v1 (007)
Self-Harm
0.000216359
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001686581
OpenAI Moderation v1 (007)
Hate > Threatening
5.96508E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.52917E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
60.7
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.3
Dale-Chall Readability Score
7.1
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
The Presiding Officer
The PRESIDING OFFICER.
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
Neutral
Moderation
Harassment
3.5212449729
OpenAI Moderation v1 (007)
Violence
0.1195390942
OpenAI Moderation v1 (007)
Violence > Graphic
0.0967565633
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0605035399
OpenAI Moderation v1 (007)
Sexual > Minors
0.0567886687
OpenAI Moderation v1 (007)
Hate
0.0525667798
OpenAI Moderation v1 (007)
Sexual
0.0239951638
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010651272
OpenAI Moderation v1 (007)
Self-Harm
0.0005000675
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003733259
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001456802
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
The Presiding Officer
The PRESIDING OFFICER.
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
0.459
Positive
Moderation
Harassment
10.1558208466
OpenAI Moderation v1 (007)
Violence
0.1445820322
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0685453124
OpenAI Moderation v1 (007)
Hate
0.0506591052
OpenAI Moderation v1 (007)
Violence > Graphic
0.0162667537
OpenAI Moderation v1 (007)
Sexual
0.002806731
OpenAI Moderation v1 (007)
Sexual > Minors
0.000994517
OpenAI Moderation v1 (007)
Self-Harm
0.0004430837
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001071166
OpenAI Moderation v1 (007)
Hate > Threatening
5.55352E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.2969E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
73.519
Magnitude:
52
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
24.2
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
8.3
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
So the amendments (No. 2426 and 2427) were agreed to.
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
0.273
Slightly Positive
Moderation
Harassment
0.1186962123
OpenAI Moderation v1 (007)
Hate
0.0116753567
OpenAI Moderation v1 (007)
Violence
0.0114119335
OpenAI Moderation v1 (007)
Violence > Graphic
0.010100301
OpenAI Moderation v1 (007)
Sexual
0.0017292812
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014183003
OpenAI Moderation v1 (007)
Self-Harm
0.0001301368
OpenAI Moderation v1 (007)
Sexual > Minors
2.26007E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.44889E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.493E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9908E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
72.162
Magnitude:
84
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
6
Coleman-Liau Index
3
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
3.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
The Presiding Officer
The PRESIDING OFFICER.
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
0.751
Very Positive
Moderation
Harassment
0.1963655697
OpenAI Moderation v1 (007)
Violence
0.0162808879
OpenAI Moderation v1 (007)
Hate
0.0051903786
OpenAI Moderation v1 (007)
Sexual
0.0023447825
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016351954
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006210076
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002588386
OpenAI Moderation v1 (007)
Self-Harm
0.0002534387
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.07845E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.288E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.262E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
54.963
Magnitude:
44
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.4
Gunning-Fog Score
12.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
6.9
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
9
Dale Bumpers
Mr. President, I ask unanimous-consent that the unanimous consent agreement as to the time on this amendment be vitiated and that the time of the vote be set at 9:30.
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
0.625
Very Positive
Moderation
Violence
0.0518255576
OpenAI Moderation v1 (007)
Violence > Graphic
0.0210608559
OpenAI Moderation v1 (007)
Harassment
0.0098937868
OpenAI Moderation v1 (007)
Hate
0.0082425686
OpenAI Moderation v1 (007)
Sexual
0.0056088342
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0038114518
OpenAI Moderation v1 (007)
Hate > Threatening
0.001004862
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008752278
OpenAI Moderation v1 (007)
Self-Harm
6.00386E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.49992E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.0076E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
51.981
Magnitude:
71
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
71.6
Gunning-Fog Score
12.7
Coleman-Liau Index
7.9
SMOG Index
12
Automated Readability Index
5.6
Dale-Chall Readability Score
5.2
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
The Presiding Officer
The PRESIDING OFFICER.
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)
1.09861
VADER
0
Neutral
Moderation
Violence
0.017634315
OpenAI Moderation v1 (007)
Sexual
0.0065494489
OpenAI Moderation v1 (007)
Harassment
0.0058985774
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047098714
OpenAI Moderation v1 (007)
Hate
0.0021946375
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021437118
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007306985
OpenAI Moderation v1 (007)
Hate > Threatening
4.63014E-5
OpenAI Moderation v1 (007)
Self-Harm
1.86217E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.316E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3894E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
31.047
Magnitude:
45
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
34.6
Gunning-Fog Score
7.9
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
7.5
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Ted Kennedy
With the understanding the time be evenly divided.
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
0.0878945168
OpenAI Moderation v1 (007)
Violence > Graphic
0.0522873597
OpenAI Moderation v1 (007)
Harassment
0.0429229112
OpenAI Moderation v1 (007)
Violence
0.0393689086
OpenAI Moderation v1 (007)
Hate
0.0250436395
OpenAI Moderation v1 (007)
Sexual > Minors
0.0081609709
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004472848
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016397522
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010964242
OpenAI Moderation v1 (007)
Self-Harm
0.0009856359
OpenAI Moderation v1 (007)
Hate > Threatening
0.0009846476
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
25.044
Magnitude:
8
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
40.1
Gunning-Fog Score
18.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.3
Dale-Chall Readability Score
6.3
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Dale Bumpers
Evenly divided.
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
4.4005490839
OpenAI Moderation v1 (007)
Hate
0.0123651698
OpenAI Moderation v1 (007)
Violence
0.0085197855
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031817599
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023753802
OpenAI Moderation v1 (007)
Self-Harm
0.0002496726
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002196549
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001453416
OpenAI Moderation v1 (007)
Sexual
0.0001257766
OpenAI Moderation v1 (007)
Sexual > Minors
2.57932E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.854E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
48.205
Magnitude:
24
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Law and Crime
Score:
27.114
Magnitude:
24
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
11.3
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
Ted Kennedy
Reserving the right --
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
0.2188709797
OpenAI Moderation v1 (007)
Violence
0.0084508538
OpenAI Moderation v1 (007)
Hate
0.0067855028
OpenAI Moderation v1 (007)
Self-Harm
0.0031160966
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0020882884
OpenAI Moderation v1 (007)
Violence > Graphic
0.002033264
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001310172
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005169525
OpenAI Moderation v1 (007)
Sexual
0.0002455859
OpenAI Moderation v1 (007)
Sexual > Minors
2.16086E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.5114E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.8
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Dale Bumpers
The unanimous consent agreement was 9:15.
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
0.625
Very Positive
Moderation
Violence
0.0279294502
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0249585399
OpenAI Moderation v1 (007)
Harassment
0.0172166096
OpenAI Moderation v1 (007)
Hate
0.0158829032
OpenAI Moderation v1 (007)
Violence > Graphic
0.0094114032
OpenAI Moderation v1 (007)
Hate > Threatening
0.0054553937
OpenAI Moderation v1 (007)
Sexual
0.0026120402
OpenAI Moderation v1 (007)
Self-Harm
0.0010137665
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005418084
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000106776
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.67704E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
56.504
Magnitude:
34
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
31.106
Magnitude:
34
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
66.8
Gunning-Fog Score
14.2
Coleman-Liau Index
10.2
SMOG Index
11.3
Automated Readability Index
2.9
Dale-Chall Readability Score
7.1
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Ted Kennedy
If the Senator would start. As I understand it, we are checking this with the majority leader. I will not object to it, but why not start in.
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
Neutral
Moderation
Violence
0.0280469423
OpenAI Moderation v1 (007)
Violence > Graphic
0.0166051919
OpenAI Moderation v1 (007)
Sexual
0.0140900811
OpenAI Moderation v1 (007)
Harassment
0.0117010903
OpenAI Moderation v1 (007)
Sexual > Minors
0.003277848
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006918941
OpenAI Moderation v1 (007)
Hate
0.0002406348
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.91463E-5
OpenAI Moderation v1 (007)
Self-Harm
3.63801E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.8049E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2324E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
74.827
Magnitude:
43
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.1
Flesch-Kincaid Ease
82.5
Gunning-Fog Score
6.6
Coleman-Liau Index
7.1
SMOG Index
9
Automated Readability Index
1.6
Dale-Chall Readability Score
2.7
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Ted Kennedy
I am informed that it is agreeable.
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
0.422
Positive
Moderation
Harassment
0.0410992681
OpenAI Moderation v1 (007)
Violence
0.0121553123
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0068197282
OpenAI Moderation v1 (007)
Sexual > Minors
0.003338138
OpenAI Moderation v1 (007)
Sexual
0.0025032579
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005455025
OpenAI Moderation v1 (007)
Hate
0.0003866228
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001990587
OpenAI Moderation v1 (007)
Self-Harm
2.92704E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.05188E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.311E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.7
Flesch-Kincaid Ease
66.8
Gunning-Fog Score
8.5
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
0.9
Dale-Chall Readability Score
4.9
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
The Presiding Officer
The PRESIDING OFFICER.
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
-0.296
Slightly Negative
Moderation
Harassment
0.0128484869
OpenAI Moderation v1 (007)
Violence
0.0100172649
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0088754306
OpenAI Moderation v1 (007)
Sexual
0.0046369125
OpenAI Moderation v1 (007)
Sexual > Minors
0.0037730097
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015468671
OpenAI Moderation v1 (007)
Hate
0.0002883345
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.17826E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.07334E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.9241E-6
OpenAI Moderation v1 (007)
Self-Harm
6.0738E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
68.5
Gunning-Fog Score
9
Coleman-Liau Index
9.5
SMOG Index
11.8
Automated Readability Index
3.9
Dale-Chall Readability Score
3.6
Sprache Readability Score
3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
13
Dale Bumpers
Mr. President, on behalf of Senator Cochran and myself, I send an amendment to the desk and also announce as cosponsors Senators Kempthorne, Pryor, Wallop, Shelby, Craig, Gramm, Lott, Bingaman, Thurmond, Burns, and Hutchison.
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
0.3152170451
OpenAI Moderation v1 (007)
Violence
0.1298340736
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0532512204
OpenAI Moderation v1 (007)
Violence > Graphic
0.0438987161
OpenAI Moderation v1 (007)
Sexual > Minors
0.0138858522
OpenAI Moderation v1 (007)
Hate
0.0132568952
OpenAI Moderation v1 (007)
Sexual
0.0038877726
OpenAI Moderation v1 (007)
Hate > Threatening
1.57839E-5
OpenAI Moderation v1 (007)
Self-Harm
8.5454E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.4309E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.625E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.186
Magnitude:
61
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
50.2
Gunning-Fog Score
9.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.7
Dale-Chall Readability Score
9.7
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
The Presiding Officer
The PRESIDING OFFICER.
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
0.0329513132
OpenAI Moderation v1 (007)
Violence
0.0186717371
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060003342
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040899806
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021176766
OpenAI Moderation v1 (007)
Hate
0.0018873186
OpenAI Moderation v1 (007)
Sexual
0.0008200631
OpenAI Moderation v1 (007)
Self-Harm
4.05887E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.61119E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.40119E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.701E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
57.578
Magnitude:
60
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Education
Score:
29.404
Magnitude:
60
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
51.9
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
6.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
5
Dale Bumpers
Mr. President, I ask unanimous consent that reading of the amendment be dispensed with.
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
0.226
Slightly Positive
Moderation
Violence
0.0757277769
OpenAI Moderation v1 (007)
Harassment
0.0251468096
OpenAI Moderation v1 (007)
Violence > Graphic
0.0240003588
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054903147
OpenAI Moderation v1 (007)
Sexual
0.0028122717
OpenAI Moderation v1 (007)
Hate
0.000859529
OpenAI Moderation v1 (007)
Sexual > Minors
0.000468832
OpenAI Moderation v1 (007)
Self-Harm
0.0002672204
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002103492
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.44314E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.21142E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.443
Magnitude:
123
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
60.7
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6
Dale-Chall Readability Score
7.1
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
The Presiding Officer
The PRESIDING OFFICER.
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
Neutral
Moderation
Violence
0.0567717594
OpenAI Moderation v1 (007)
Violence > Graphic
0.0174218425
OpenAI Moderation v1 (007)
Sexual
0.0030812775
OpenAI Moderation v1 (007)
Harassment
0.001668539
OpenAI Moderation v1 (007)
Hate
0.0009361903
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000373952
OpenAI Moderation v1 (007)
Sexual > Minors
0.000355671
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002527764
OpenAI Moderation v1 (007)
Self-Harm
0.000148118
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.89325E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2009E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.36
Magnitude:
49
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Dale Bumpers
Mr. President, yesterday, Senator Cochran and I sent out a "Dear Colleague" letter, which quoted the committee report on this bill. The committee said:
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
0.382
Somewhat Positive
Moderation
Violence > Graphic
0.143284502
OpenAI Moderation v1 (007)
Violence
0.0591845717
OpenAI Moderation v1 (007)
Sexual
0.027904805
OpenAI Moderation v1 (007)
Harassment
0.0202697644
OpenAI Moderation v1 (007)
Hate
0.0061209728
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036316545
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004053051
OpenAI Moderation v1 (007)
Self-Harm
0.0002613388
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001862914
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.70155E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.8656E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
50.535
Magnitude:
21
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.2
Flesch-Kincaid Ease
64.8
Gunning-Fog Score
8.2
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
6.1
Dale-Chall Readability Score
5.7
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Dale Bumpers
And now, Mr. President, the committee proposes a formula to distribute over $7 billion to the States of this Nation. Let me give you an illustration of what it does. Remember, poverty is in the poor States. I invite my colleagues to look at the map behind my distinguished colleague from Mississippi, Mr. Cochran. Everything black on that map is where the deepest poverty in the Nation is. That is where the most poor children live.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
-0.909
Very Negative
Moderation
Sexual
0.1147534233
OpenAI Moderation v1 (007)
Sexual > Minors
0.0382725644
OpenAI Moderation v1 (007)
Hate
0.0222645511
OpenAI Moderation v1 (007)
Harassment
0.019767409
OpenAI Moderation v1 (007)
Violence
0.0138486037
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036339654
OpenAI Moderation v1 (007)
Self-Harm
0.0022013972
OpenAI Moderation v1 (007)
Harassment > Threatening
0.002120241
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013750025
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001970992
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.51831E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
71.547
Magnitude:
31
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
69.2
Gunning-Fog Score
10.1
Coleman-Liau Index
10.8
SMOG Index
10.5
Automated Readability Index
4.6
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
17
Dale Bumpers
I have a parochial interest because my State is one of the poorest States in the Nation. But, Mr. President, the chart lists the 10 poorest States in America.
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
-0.612
Very Negative
Moderation
Violence
0.0715729198
OpenAI Moderation v1 (007)
Violence > Graphic
0.0386888889
OpenAI Moderation v1 (007)
Harassment
0.0108023291
OpenAI Moderation v1 (007)
Hate
0.000779802
OpenAI Moderation v1 (007)
Sexual
0.0007516791
OpenAI Moderation v1 (007)
Self-Harm
0.0003540169
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001956223
OpenAI Moderation v1 (007)
Sexual > Minors
5.14444E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.6299E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.9853E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.027E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
50.088
Magnitude:
9
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
77.4
Gunning-Fog Score
6.6
Coleman-Liau Index
9.2
SMOG Index
9
Automated Readability Index
3.4
Dale-Chall Readability Score
4.8
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Dale Bumpers
Look at it. Alabama, 23 percent poverty, and under the committee bill they receive $710 per poor child. Senator Cochran and I would give them $63 more per child. Compare poor Alabama with Delaware, which has 11 percent poverty, less than half of Alabama, and they get $1,185 -- 40 percent more than Alabama -- per child.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.915
Very Negative
Moderation
Violence
0.0519917521
OpenAI Moderation v1 (007)
Violence > Graphic
0.0202395604
OpenAI Moderation v1 (007)
Sexual
0.0104633335
OpenAI Moderation v1 (007)
Hate
0.0042030493
OpenAI Moderation v1 (007)
Harassment
0.0037196958
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007123087
OpenAI Moderation v1 (007)
Self-Harm
0.0003697004
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001011575
OpenAI Moderation v1 (007)
Hate > Threatening
7.15533E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.0935E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.20059E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
74.8
Gunning-Fog Score
9.2
Coleman-Liau Index
8.6
SMOG Index
11.8
Automated Readability Index
5.1
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
12
Dale Bumpers
Here is my beloved Arkansas, and 24 percent of the children in my State live below the poverty line. They receive, under the committee bill, $704 per child. But Maine, for example, with 13 percent poverty, gets $972 per child -- $268 per child more than our poor State with 24 percent of our children living in poverty.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.875
Very Negative
Moderation
Harassment
0.0556952145
OpenAI Moderation v1 (007)
Violence
0.0079487312
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025126383
OpenAI Moderation v1 (007)
Sexual
0.0005086346
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004795103
OpenAI Moderation v1 (007)
Hate
0.0004620832
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003954555
OpenAI Moderation v1 (007)
Self-Harm
0.0002802147
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002122063
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001220639
OpenAI Moderation v1 (007)
Hate > Threatening
3.5058E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
79.2
Gunning-Fog Score
11.1
Coleman-Liau Index
8.3
SMOG Index
11.3
Automated Readability Index
7.3
Dale-Chall Readability Score
4.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
13
Dale Bumpers
Arizona, Kentucky, Louisiana, Mississippi, New Mexico, South Carolina, Texas, and the only State among the 10 poorest States of America that even makes it out of the $700 category in the committee proposal is West Virginia. Compare that with the home State of the chairman of the committee, our good friend, the manager of this bill, Massachusetts, which has 13 percent poverty, and they get $1,023 per poor child.
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
-0.586
Very Negative
Moderation
Violence
0.1031698659
OpenAI Moderation v1 (007)
Harassment
0.0674356881
OpenAI Moderation v1 (007)
Violence > Graphic
0.0261525449
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0092458067
OpenAI Moderation v1 (007)
Hate
0.0028857863
OpenAI Moderation v1 (007)
Self-Harm
0.0010032055
OpenAI Moderation v1 (007)
Sexual
0.0007036911
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003034961
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002183469
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.09833E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.7602E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.2
Gunning-Fog Score
17.4
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
24
Dale Bumpers
I live in one of the wealthiest counties in the State of Maryland, and Maryland has 11 percent poor children, and they get $1,033 per child, well over $300 per child more than my State receives, more than Mississippi and Alabama and Georgia and all those States, where these deep pockets of poor children reside.
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
-0.226
Slightly Negative
Moderation
Violence
0.0231055063
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054541455
OpenAI Moderation v1 (007)
Sexual
0.0025377743
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009446447
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007888842
OpenAI Moderation v1 (007)
Harassment
0.0005884301
OpenAI Moderation v1 (007)
Self-Harm
0.0003127973
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002111573
OpenAI Moderation v1 (007)
Hate
0.0001048625
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.51298E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.0403E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.7
Gunning-Fog Score
19
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Dale Bumpers
Wisconsin, 14 percent poor children. They get $1,023. I could go on with all these States that are affluent.
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
Negative
Moderation
Violence
0.026832163
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0111559115
OpenAI Moderation v1 (007)
Harassment
0.0099299206
OpenAI Moderation v1 (007)
Sexual
0.0057788267
OpenAI Moderation v1 (007)
Hate
0.0032701428
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005892663
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002626168
OpenAI Moderation v1 (007)
Self-Harm
0.0001761279
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.29955E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.00686E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.70211E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
85.188
Magnitude:
100
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.6
Flesch-Kincaid Ease
100
Gunning-Fog Score
4.7
Coleman-Liau Index
7.1
SMOG Index
7.9
Automated Readability Index
0.3
Dale-Chall Readability Score
2.7
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Dale Bumpers
Mr. President, this amendment is not something I just conjured up in the middle of the night. This amendment tracks precisely what the General Accounting Office said was wrong with this bill.
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
-0.477
Negative
Moderation
Violence
0.0308390387
OpenAI Moderation v1 (007)
Hate
0.0182984411
OpenAI Moderation v1 (007)
Harassment
0.010181588
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074215102
OpenAI Moderation v1 (007)
Sexual
0.00243017
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009969214
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003422913
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001398386
OpenAI Moderation v1 (007)
Self-Harm
1.8823E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.8661E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.1952E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.409
Magnitude:
82
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.3
Flesch-Kincaid Ease
69.1
Gunning-Fog Score
9.3
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
6.9
Dale-Chall Readability Score
4
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Dale Bumpers
Let me repeat that. This is not just a brainstorm that Senator Cochran and I had. This is what the General Accounting Office said, in analyzing the committee bill, was wrong with the bill.
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
-0.477
Negative
Moderation
Violence
0.0177281196
OpenAI Moderation v1 (007)
Sexual
0.0104047009
OpenAI Moderation v1 (007)
Violence > Graphic
0.007063691
OpenAI Moderation v1 (007)
Harassment
0.0050781047
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018132238
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009662911
OpenAI Moderation v1 (007)
Hate
0.0003811552
OpenAI Moderation v1 (007)
Hate > Threatening
4.37507E-5
OpenAI Moderation v1 (007)
Self-Harm
3.25499E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.0891E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.84E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
93.086
Magnitude:
52
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
73.4
Gunning-Fog Score
6.9
Coleman-Liau Index
10.2
SMOG Index
10.6
Automated Readability Index
5
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
10
Dale Bumpers
We put a lot of stock around here in what the General Accounting Office says. Senator Cochran and Senator Bingaman wrote to the General Accounting Office and asked for their analysis. This is not one of those full-blown investigative reports. This is just an analysis.
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)
2.3979
VADER
0
Neutral
Moderation
Violence
0.0727137201
OpenAI Moderation v1 (007)
Violence > Graphic
0.0175208988
OpenAI Moderation v1 (007)
Harassment
0.0057003337
OpenAI Moderation v1 (007)
Hate
0.0011452307
OpenAI Moderation v1 (007)
Sexual
0.0008364517
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000191261
OpenAI Moderation v1 (007)
Self-Harm
9.91493E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.49337E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.48338E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.0083E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.392E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.687
Magnitude:
118
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
57.2
Gunning-Fog Score
8.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.7
Dale-Chall Readability Score
4.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Dale Bumpers
Do you want me to tell you how this happened? These formulas are immensely complicated, and I am not going to try to boggle anybody's mind with them. But I will tell you what happened in the committee formula. The committee formula penalizes the poorest States in America who will never, under this formula, significantly improve their plight. But I will tell you how it happened; how the most affluent States in America make out like bandits, and the poorest States in America, where all the poor children are, get what is left.
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
-0.66
Very Negative
Moderation
Violence
0.0212050465
OpenAI Moderation v1 (007)
Harassment
0.0147599014
OpenAI Moderation v1 (007)
Sexual
0.0084282721
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029871488
OpenAI Moderation v1 (007)
Hate
0.0028395332
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022635257
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008406012
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008194791
OpenAI Moderation v1 (007)
Self-Harm
4.3073E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.40068E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.2929E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
57.9
Gunning-Fog Score
12.6
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
9.3
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
17
Dale Bumpers
The committee came up with two new factors. One is called the "effort factor," and one is called the "equity factor."
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
0.2103512175
OpenAI Moderation v1 (007)
Violence
0.1071219449
OpenAI Moderation v1 (007)
Violence > Graphic
0.0123110047
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0117531672
OpenAI Moderation v1 (007)
Hate
0.0024026534
OpenAI Moderation v1 (007)
Sexual
0.0001848984
OpenAI Moderation v1 (007)
Self-Harm
0.0001120032
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001011922
OpenAI Moderation v1 (007)
Sexual > Minors
6.3306E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.38439E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.08445E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
75.3
Gunning-Fog Score
8
Coleman-Liau Index
9.4
SMOG Index
9
Automated Readability Index
4
Dale-Chall Readability Score
6.5
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
5
Dale Bumpers
The effort factor takes the average per-pupil expenditure in your State, divide it by the average per pupil expenditure of the Nation as a whole, and if you come out above 100 percent you get a bonus. They set a floor of 95 percent, and a ceiling of 105 percent.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.542
Very Positive
Moderation
Harassment
0.2001970541
OpenAI Moderation v1 (007)
Violence
0.1069222577
OpenAI Moderation v1 (007)
Hate
0.0153793779
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0099606761
OpenAI Moderation v1 (007)
Violence > Graphic
0.0034245393
OpenAI Moderation v1 (007)
Sexual
0.0033061278
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004787916
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001371851
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5845E-5
OpenAI Moderation v1 (007)
Self-Harm
2.88847E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.4026E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
64.8
Gunning-Fog Score
13.3
Coleman-Liau Index
7.2
SMOG Index
11.3
Automated Readability Index
9.7
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Dale Bumpers
What does that mean? That means, if Arkansas only spends 75 percent of the national per-pupil expenditure, we have to get to 95 percent before we get consideration in the formula for effort.
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
Neutral
Moderation
Harassment
3.4696709365
OpenAI Moderation v1 (007)
Violence
0.0178659961
OpenAI Moderation v1 (007)
Hate
0.0127293926
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0101955688
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017306786
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009299684
OpenAI Moderation v1 (007)
Sexual
0.000333887
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.29725E-5
OpenAI Moderation v1 (007)
Self-Harm
8.48593E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.32924E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.255E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
62.7
Gunning-Fog Score
11.5
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
7.7
Dale-Chall Readability Score
5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Dale Bumpers
This may not happen in my lifetime. Not only is this formula discriminatory in the extreme, but it remains that way as long as it stands because the poor States simply can never reach the floor, no matter how hard we try and how much effort we expend. We cannot reach it.
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
-0.817
Very Negative
Moderation
Violence > Graphic
0.0633155287
OpenAI Moderation v1 (007)
Violence
0.0098624849
OpenAI Moderation v1 (007)
Sexual
0.0002358538
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001566614
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001155193
OpenAI Moderation v1 (007)
Harassment
6.99016E-5
OpenAI Moderation v1 (007)
Hate
1.06415E-5
OpenAI Moderation v1 (007)
Self-Harm
4.9087E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.6316E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.857E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.91E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
42.297
Magnitude:
31
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
40.428
Magnitude:
31
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.5
Flesch-Kincaid Ease
72.1
Gunning-Fog Score
9.2
Coleman-Liau Index
8.5
SMOG Index
9
Automated Readability Index
6.7
Dale-Chall Readability Score
3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Dale Bumpers
But, if you are one of the more affluent States, and you are spending 140 percent of the national average on your children, you can let up, relax, and cut spending. As long as you do not go below 105 percent of the national average, you are in the clover. No matter how hard we work, there is no gain. No matter how lax the more affluent States become, as long as they do not get below the 105 percent national per- pupil expenditure, they lose nothing.
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
-0.511
Very Negative
Moderation
Harassment
0.9164229967
OpenAI Moderation v1 (007)
Hate
0.0262741116
OpenAI Moderation v1 (007)
Sexual
0.0145995451
OpenAI Moderation v1 (007)
Sexual > Minors
0.0048185193
OpenAI Moderation v1 (007)
Violence
0.0042429303
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006215627
OpenAI Moderation v1 (007)
Violence > Graphic
1.66827E-5
OpenAI Moderation v1 (007)
Self-Harm
1.7232E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.587E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.218E-7
OpenAI Moderation v1 (007)
Hate > Threatening
3.704E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.118
Magnitude:
54
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
72
Gunning-Fog Score
12.4
Coleman-Liau Index
7.5
SMOG Index
11.3
Automated Readability Index
8.1
Dale-Chall Readability Score
4
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
Dale Bumpers
The second factor is "equity." Equity deals with the disparity of expenditures within a State. Disparity means that the more affluent counties in a State are spending more on education than the poorer counties in a State. But that has very little to do with a State formula. That is because most schools are funded primarily on a property tax, and some counties have a higher property tax than others.
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
-0.361
Somewhat Negative
Moderation
Harassment
0.2772839973
OpenAI Moderation v1 (007)
Sexual
0.0115058596
OpenAI Moderation v1 (007)
Hate
0.0085849308
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0080463105
OpenAI Moderation v1 (007)
Violence
0.0048290352
OpenAI Moderation v1 (007)
Sexual > Minors
0.001566512
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005388089
OpenAI Moderation v1 (007)
Self-Harm
3.01634E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.51864E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.7581E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.4254E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
26.286
Magnitude:
18
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
56.1
Gunning-Fog Score
11.9
Coleman-Liau Index
11.4
SMOG Index
11.7
Automated Readability Index
7.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
Dale Bumpers
So we do have a disparity between the Mississippi Delta where the most pervasive poverty in America exists in Louisiana, Mississippi, and Arkansas, parts of Tennessee, Illinois, Kentucky, Missouri, and the northwest part of the State, which is one of our most affluent areas.
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
-0.554
Very Negative
Moderation
Harassment
1.7914760858
OpenAI Moderation v1 (007)
Hate
0.0022145596
OpenAI Moderation v1 (007)
Violence
0.0009714497
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006317948
OpenAI Moderation v1 (007)
Sexual
0.000245397
OpenAI Moderation v1 (007)
Violence > Graphic
0.000123186
OpenAI Moderation v1 (007)
Sexual > Minors
6.50072E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.7441E-6
OpenAI Moderation v1 (007)
Self-Harm
1.9692E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.882E-7
OpenAI Moderation v1 (007)
Hate > Threatening
4.54E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
48.96
Magnitude:
45
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Education
Score:
31.406
Magnitude:
45
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
8.4
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
17
Sprache Difficult Word Count
17
Dale Bumpers
So they say to the States in order to encourage them to equalize expenditures on children, we ought to take some money away from you if the disparity between northwest Arkansas and southeast Arkansas is too great no matter how poor southwest Arkansas is.
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)
2.3979
VADER
0.494
Positive
Moderation
Harassment
0.0958222488
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008528784
OpenAI Moderation v1 (007)
Violence
0.0007959415
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001858825
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001630107
OpenAI Moderation v1 (007)
Sexual
9.34907E-5
OpenAI Moderation v1 (007)
Sexual > Minors
9.24651E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.27408E-5
OpenAI Moderation v1 (007)
Hate
2.82386E-5
OpenAI Moderation v1 (007)
Self-Harm
1.40106E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.321E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
68.807
Magnitude:
46
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.5
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Dale Bumpers
And they put another floor and ceiling on this equity factor. The floor is 95 percent, and the ceiling is 105 percent.
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
Neutral
Moderation
Harassment
0.0584881811
OpenAI Moderation v1 (007)
Violence
0.0534288876
OpenAI Moderation v1 (007)
Harassment > Threatening
0.01831134
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054606717
OpenAI Moderation v1 (007)
Sexual
0.0048238249
OpenAI Moderation v1 (007)
Sexual > Minors
0.0042171218
OpenAI Moderation v1 (007)
Hate
8.76912E-5
OpenAI Moderation v1 (007)
Self-Harm
2.80146E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.72166E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.59613E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5627E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
89.284
Magnitude:
73
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
80.3
Gunning-Fog Score
8
Coleman-Liau Index
8
SMOG Index
9
Automated Readability Index
3.1
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Dale Bumpers
Do you know what that means, Mr. President? That means that as long as the disparity in our districts is under 95 percent, they can never get consideration for equity payments. And I will not live long enough for that to happen. It is a double whammy to the poorer States. They do not have the means to achieve equity or effort consideration so they cannot increase their share under the formula.
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
-0.514
Very Negative
Moderation
Harassment
0.0876405335
OpenAI Moderation v1 (007)
Violence
0.0242901908
OpenAI Moderation v1 (007)
Sexual > Minors
0.0121245888
OpenAI Moderation v1 (007)
Violence > Graphic
0.0085446416
OpenAI Moderation v1 (007)
Sexual
0.008155789
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0051726791
OpenAI Moderation v1 (007)
Hate
0.0030605697
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004969701
OpenAI Moderation v1 (007)
Self-Harm
0.0002264815
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001024577
OpenAI Moderation v1 (007)
Hate > Threatening
4.26577E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
51.959
Magnitude:
22
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
26.508
Magnitude:
22
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
70.1
Gunning-Fog Score
8.1
Coleman-Liau Index
9.9
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Dale Bumpers
On the other hand, in the more affluent States, if they do not have a disparity problem, they can relax.
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)
0.51083
VADER
0.765
Very Positive
Moderation
Sexual
0.0788489822
OpenAI Moderation v1 (007)
Violence
0.0523343042
OpenAI Moderation v1 (007)
Sexual > Minors
0.0321027997
OpenAI Moderation v1 (007)
Harassment
0.0247661083
OpenAI Moderation v1 (007)
Violence > Graphic
0.0114191076
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0108076973
OpenAI Moderation v1 (007)
Hate
0.0003444587
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002542029
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001294556
OpenAI Moderation v1 (007)
Self-Harm
7.33997E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.80185E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.208
Magnitude:
13
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
68.1
Gunning-Fog Score
12
Coleman-Liau Index
8
SMOG Index
11.3
Automated Readability Index
7.6
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Dale Bumpers
Let me tell you again. If this were just Dale Bumpers talking about this formula, I would expect you to say, "Well, he is upset because Arkansas does not fare well." You would be right. I am upset because it is a pervasive, discriminatory formula.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.5
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.53
Very Negative
Moderation
Sexual
0.0121275043
OpenAI Moderation v1 (007)
Violence
0.0115702773
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038309146
OpenAI Moderation v1 (007)
Harassment
0.0022767405
OpenAI Moderation v1 (007)
Hate
0.0015655487
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015465426
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009560259
OpenAI Moderation v1 (007)
Hate > Threatening
0.00010853
OpenAI Moderation v1 (007)
Self-Harm
4.24342E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.4485E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.016E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.499
Magnitude:
50
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
8.1
Coleman-Liau Index
9.4
SMOG Index
9.7
Automated Readability Index
4.4
Dale-Chall Readability Score
3.4
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Dale Bumpers
But here is what the General Accounting Office said about the equity and disparity factors:
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
Neutral
Moderation
Violence
0.0379944482
OpenAI Moderation v1 (007)
Harassment
0.0330873328
OpenAI Moderation v1 (007)
Violence > Graphic
0.0133397494
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064800057
OpenAI Moderation v1 (007)
Sexual > Minors
0.0029787598
OpenAI Moderation v1 (007)
Hate
0.001504534
OpenAI Moderation v1 (007)
Sexual
0.0012726438
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004433618
OpenAI Moderation v1 (007)
Self-Harm
0.0003156221
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002316366
OpenAI Moderation v1 (007)
Hate > Threatening
3.47448E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.419
Magnitude:
22
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
33.7
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.9
Dale-Chall Readability Score
5
Sprache Readability Score
3
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Dale Bumpers
The General Accounting Office goes on to say:
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
Harassment
0.0415989169
OpenAI Moderation v1 (007)
Violence > Graphic
0.0267779833
OpenAI Moderation v1 (007)
Violence
0.022117648
OpenAI Moderation v1 (007)
Sexual > Minors
0.0127219289
OpenAI Moderation v1 (007)
Sexual
0.0065453962
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043617125
OpenAI Moderation v1 (007)
Hate
0.0013430576
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001528785
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000111955
OpenAI Moderation v1 (007)
Hate > Threatening
1.86538E-5
OpenAI Moderation v1 (007)
Self-Harm
1.37853E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
3.2
Coleman-Liau Index
11.4
SMOG Index
11.3
Automated Readability Index
4.4
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
Dale Bumpers
Translated, what that means is it is the most affluent States that are likely to have the least disparity because they have fewer poor students. The reason we have great disparity is because we have counties with unbelievable poverty, and then we have some prosperous counties. So we do indeed have big disparities. But this equity bonus factor locks in a formula which says to the people of my State that you will never get an extra dime under this formula.
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)
0.76214
VADER
0.382
Somewhat Positive
Moderation
Violence
0.0873875862
OpenAI Moderation v1 (007)
Harassment
0.020291323
OpenAI Moderation v1 (007)
Sexual > Minors
0.0099027056
OpenAI Moderation v1 (007)
Harassment > Threatening
0.009114002
OpenAI Moderation v1 (007)
Violence > Graphic
0.0080636317
OpenAI Moderation v1 (007)
Sexual
0.0042486961
OpenAI Moderation v1 (007)
Hate
0.0003329455
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002811746
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.07401E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.41E-7
OpenAI Moderation v1 (007)
Self-Harm
3.621E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
69.41
Magnitude:
31
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
56.8
Gunning-Fog Score
13
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19
Dale Bumpers
The General Accounting Office goes on to say -- and I want everybody to pay special attention to what the General Accounting Office said:
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
0.382
Somewhat Positive
Moderation
Harassment
0.0683990074
OpenAI Moderation v1 (007)
Violence
0.025603766
OpenAI Moderation v1 (007)
Violence > Graphic
0.0090589718
OpenAI Moderation v1 (007)
Sexual
0.0045167013
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018268072
OpenAI Moderation v1 (007)
Hate
0.0005899573
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004091795
OpenAI Moderation v1 (007)
Self-Harm
6.96151E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.26816E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9945E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.3111E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
88.527
Magnitude:
24
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
36.4
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.2
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Dale Bumpers
Mr. President, what does the General Accounting Office say about the effort bonus factor, the per pupil expenditures of the States as a percentage of national per-pupil expenditure?
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
0.542
Very Positive
Moderation
Harassment
1.6088986769
OpenAI Moderation v1 (007)
Violence
0.039269359
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0089887559
OpenAI Moderation v1 (007)
Hate
0.0063986496
OpenAI Moderation v1 (007)
Sexual > Minors
0.0061903331
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050404629
OpenAI Moderation v1 (007)
Sexual
0.0032584223
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010622028
OpenAI Moderation v1 (007)
Self-Harm
0.0005710211
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004995647
OpenAI Moderation v1 (007)
Hate > Threatening
5.2804E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
78.937
Magnitude:
19
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
43.3
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
7.3
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Dale Bumpers
They go on to say:
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
0.0979486969
OpenAI Moderation v1 (007)
Hate
0.0083544299
OpenAI Moderation v1 (007)
Violence
0.0077715697
OpenAI Moderation v1 (007)
Sexual
0.0070040485
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013274005
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006709575
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004997738
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004667513
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003949765
OpenAI Moderation v1 (007)
Self-Harm
0.0003868305
OpenAI Moderation v1 (007)
Hate > Threatening
6.6716E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
28.928
Magnitude:
53
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
24.534
Magnitude:
53
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
20.22
Magnitude:
53
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
0
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
Dale Bumpers
In summary, the General Accounting Office says the formula under which this terribly perverse result occurred is fatally flawed because it is the more affluent districts who get all the money under this formula. It is those States that are the most affluent, where there are the least number of poor children and, therefore, the least number of disparities between school districts and spending on our poor children. And they will continue to get more of title 1 money, and my State will continue to get less because we cannot make any greater effort than we are making.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.06667
Neutral
Harvard-IV (Absolute)
0.06667
Neutral
Harvard-IV (Logit)
0.12516
VADER
-0.937
Very Negative
Moderation
Harassment
0.1163510024
OpenAI Moderation v1 (007)
Violence
0.0451405736
OpenAI Moderation v1 (007)
Violence > Graphic
0.0246873416
OpenAI Moderation v1 (007)
Sexual
0.0106631422
OpenAI Moderation v1 (007)
Hate
0.0025082043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006923291
OpenAI Moderation v1 (007)
Self-Harm
0.0005478726
OpenAI Moderation v1 (007)
Sexual > Minors
0.000320668
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001565615
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.9551E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.6763E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
86.552
Magnitude:
55
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.1
Gunning-Fog Score
17.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23
Dale Bumpers
I daresay, based on our per capita income, we are making a lot bigger effort than a lot of the more affluent States who have a much higher per capita income than we have.
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
Violence
0.3442236222
OpenAI Moderation v1 (007)
Harassment
0.038321488
OpenAI Moderation v1 (007)
Sexual
0.0202643903
OpenAI Moderation v1 (007)
Violence > Graphic
0.0108053377
OpenAI Moderation v1 (007)
Hate
0.0094427043
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064706139
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0036323163
OpenAI Moderation v1 (007)
Self-Harm
0.0026618376
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004540399
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001618028
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001581588
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
93.086
Magnitude:
49
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.4
Gunning-Fog Score
18.3
Coleman-Liau Index
7.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Dale Bumpers
So, Mr. President, the reason I am shouting is because I feel so passionately about what this does to my State and other poverty- stricken States. President Clinton and I spent virtually 4 years doing nothing but trying to help an area known as the Mississippi Delta, the 10 poorest congressional districts in the State. We have done everything in the world and, incidentally, we are making some progress. Those people are beginning to see a little light at the end of the tunnel.
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)
0.61904
VADER
-0.202
Slightly Negative
Moderation
Violence
0.0629785936
OpenAI Moderation v1 (007)
Harassment
0.011151647
OpenAI Moderation v1 (007)
Violence > Graphic
0.0068185051
OpenAI Moderation v1 (007)
Sexual
0.005541505
OpenAI Moderation v1 (007)
Hate
0.0014557605
OpenAI Moderation v1 (007)
Self-Harm
0.0004918013
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000300351
OpenAI Moderation v1 (007)
Sexual > Minors
0.000177918
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.88593E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.40392E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.20207E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
62.9
Gunning-Fog Score
10.1
Coleman-Liau Index
11
SMOG Index
10.5
Automated Readability Index
8.4
Dale-Chall Readability Score
4.4
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
25
Dale Bumpers
I can tell you that this formula provides little help. It says no matter what we do, it is not going to make much difference. There is no way we can ever climb out of the hole that this inequity puts us under.
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
-0.218
Slightly Negative
Moderation
Harassment
0.3871302819
OpenAI Moderation v1 (007)
Violence
0.1775441342
OpenAI Moderation v1 (007)
Violence > Graphic
0.0786638644
OpenAI Moderation v1 (007)
Hate
0.0072405186
OpenAI Moderation v1 (007)
Sexual
0.0055994169
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0053133921
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023230394
OpenAI Moderation v1 (007)
Self-Harm
0.0002021045
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.1551E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.05462E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.5201E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
79.799
Magnitude:
33
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
82.1
Gunning-Fog Score
8.5
Coleman-Liau Index
6.5
SMOG Index
9
Automated Readability Index
3.6
Dale-Chall Readability Score
2.2
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Dale Bumpers
I yield the floor and reserve the remainder of my time.
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
Violence
0.1713805948
OpenAI Moderation v1 (007)
Harassment
0.0164350538
OpenAI Moderation v1 (007)
Violence > Graphic
0.015881905
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043047781
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012405319
OpenAI Moderation v1 (007)
Sexual
0.0002664094
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.53933E-5
OpenAI Moderation v1 (007)
Hate
5.91827E-5
OpenAI Moderation v1 (007)
Self-Harm
4.34252E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.62526E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.51592E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
43.619
Magnitude:
22
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
88
Gunning-Fog Score
8
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
2.9
Dale-Chall Readability Score
4.9
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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 > Graphic
0.1776531921
OpenAI Moderation v1 (007)
Violence
0.055352808
OpenAI Moderation v1 (007)
Harassment
0.0418844196
OpenAI Moderation v1 (007)
Hate
0.0031958181
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020627376
OpenAI Moderation v1 (007)
Sexual
0.0006564345
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003781879
OpenAI Moderation v1 (007)
Self-Harm
8.44461E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.41032E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.5723E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.6608E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
30.996
Magnitude:
39
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Ted Kennedy
Mr. President, I yield such time as I might use.
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
0.1185242087
OpenAI Moderation v1 (007)
Violence
0.0277470885
OpenAI Moderation v1 (007)
Sexual
0.0235947911
OpenAI Moderation v1 (007)
Violence > Graphic
0.0194993758
OpenAI Moderation v1 (007)
Hate
0.0160832482
OpenAI Moderation v1 (007)
Sexual > Minors
0.0054074939
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015506675
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003211539
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001395892
OpenAI Moderation v1 (007)
Self-Harm
7.67506E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.32144E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
91.192
Magnitude:
23
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2
Coleman-Liau Index
5.3
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Ted Kennedy
Mr. President, I have listened with great interest to the Senator from Arkansas describe his understanding of this formula and what its implications are with regard to Arkansas. His State was provided under this fiscal year 1994 allocation some 69.9 million. Under the current law in fiscal year 1995, 76.7 million. Under our Committee formula, it would be 76.5 million. I listened to him talk about the impact of this program, about the poor and poor children.
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
0.226
Slightly Positive
Moderation
Violence
0.0848408847
OpenAI Moderation v1 (007)
Violence > Graphic
0.0658562814
OpenAI Moderation v1 (007)
Harassment
0.0407940854
OpenAI Moderation v1 (007)
Sexual
0.0054077209
OpenAI Moderation v1 (007)
Sexual > Minors
0.0038643888
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030037743
OpenAI Moderation v1 (007)
Hate
0.0004790432
OpenAI Moderation v1 (007)
Self-Harm
7.5263E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0294E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.141E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.681E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
62.646
Magnitude:
37
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.7
Flesch-Kincaid Ease
63.1
Gunning-Fog Score
10.3
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
6.7
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
21
Ted Kennedy
I think, obviously, all of us would like to do a great deal more in terms of poor children, and I think it is always regrettable when we find ourselves in a situation where we are depriving some poor children to advantage other poor children. That is, I think, one of the more unfortunate aspects of any of these formula debates.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.882
Very Negative
Moderation
Harassment
0.1180549618
OpenAI Moderation v1 (007)
Violence > Graphic
0.0588836323
OpenAI Moderation v1 (007)
Violence
0.0331106567
OpenAI Moderation v1 (007)
Sexual > Minors
0.0044230845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017412489
OpenAI Moderation v1 (007)
Sexual
0.0012826875
OpenAI Moderation v1 (007)
Hate
0.0009184296
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002207273
OpenAI Moderation v1 (007)
Self-Harm
0.0001156031
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.14566E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5344E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
81.794
Magnitude:
35
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.8
Gunning-Fog Score
16.8
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Ted Kennedy
I can remember that in our own Committee on Labor and Human Resources, where we were trying to divide up a limited amount of funds and decide whether to have Meals on Wheels at congregate sites or delivered at home. You can feed three times as many people at congregate sites than at home. But, nonetheless, many people at home need that food. So you end up with needy, poor people fighting over very scarce resources. That has certainly been the case in terms of the title I programs, Head Start programs, the WIC Program, and many of the programs, including the Pell grant program, that have tried to be a lifeline for many of the neediest children and students in our country. So it is always a regrettable situation when we get into those kinds of debates and discussions.
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
-0.807
Very Negative
Moderation
Harassment
0.2049152507
OpenAI Moderation v1 (007)
Violence
0.0234565043
OpenAI Moderation v1 (007)
Violence > Graphic
0.0135069757
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0097071432
OpenAI Moderation v1 (007)
Sexual > Minors
0.007514
OpenAI Moderation v1 (007)
Sexual
0.0040169776
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0016528082
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006772266
OpenAI Moderation v1 (007)
Hate
0.0006736369
OpenAI Moderation v1 (007)
Self-Harm
0.0002382506
OpenAI Moderation v1 (007)
Hate > Threatening
4.99769E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
78.424
Magnitude:
41
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
59.9
Gunning-Fog Score
13.3
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
34
Ted Kennedy
I have to say that the administration has attempted to provide additional funding. They have in Head Start, and they have tried in the Chapter 1 Program, and in the other school reform programs. Hopefully, we will have a time in the not-too-distant future where we are moving seriously to increase help and assistance to poor children all over this country.
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
0.44
Positive
Moderation
Harassment
0.0776190136
OpenAI Moderation v1 (007)
Violence
0.0601220992
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003870275
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013715727
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007278199
OpenAI Moderation v1 (007)
Hate
0.0005724748
OpenAI Moderation v1 (007)
Sexual
0.0005564562
OpenAI Moderation v1 (007)
Hate > Threatening
2.51148E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.4504E-6
OpenAI Moderation v1 (007)
Self-Harm
6.1585E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3702E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
30.772
Magnitude:
13
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
62
Gunning-Fog Score
12.2
Coleman-Liau Index
11.1
SMOG Index
11.3
Automated Readability Index
10.6
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
16
Ted Kennedy
I have to take serious exception with the good Senator from Arkansas about which formula is going to benefit the poor children, however. As a result of the Senator's formula, in States such as Florida with 350,000 poor children, New York with 600,000 poor children, California with 970,000 poor children, the effect of the Senator's amendment is to reduce Florida by $37 million, New York by $48 million, and California by $49 million compared to what the Committee recommended.
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)
1.94591
VADER
-0.718
Very Negative
Moderation
Violence
0.0179836352
OpenAI Moderation v1 (007)
Harassment
0.0029920468
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028605373
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023578574
OpenAI Moderation v1 (007)
Sexual
0.0022999204
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011901619
OpenAI Moderation v1 (007)
Hate
0.0001337281
OpenAI Moderation v1 (007)
Hate > Threatening
1.74096E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.21106E-5
OpenAI Moderation v1 (007)
Self-Harm
7.2052E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.378E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.964
Magnitude:
57
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
34.2
Gunning-Fog Score
19
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
21
Ted Kennedy
So before we start getting so worked up about how unjust this formula is for poor children, look at what is going to happen to the poor children -- if this is accepted -- in these various States. There are tens of thousands, hundreds of thousands of children in those areas. As a result of the amendment of the Senator from Arkansas, we are going to see those children deprived; those children will be deprived.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.94
Very Negative
Moderation
Violence
0.0277131418
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0245285511
OpenAI Moderation v1 (007)
Harassment
0.0173382534
OpenAI Moderation v1 (007)
Hate
0.0157659044
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091667695
OpenAI Moderation v1 (007)
Hate > Threatening
0.0052987893
OpenAI Moderation v1 (007)
Sexual
0.0025584804
OpenAI Moderation v1 (007)
Self-Harm
0.0009918952
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005281925
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001034833
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.31777E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
87.487
Magnitude:
69
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
63.9
Gunning-Fog Score
11.9
Coleman-Liau Index
10.5
SMOG Index
11.3
Automated Readability Index
11.8
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
15
Ted Kennedy
As the Senator pointed out, these are balances in terms of how we are going to try and make some kind of adjustment. I daresay in the States that he talked about -- Louisiana and Mississippi -- we see a significant increase, under the Committee formula, over existing law. So he is not going to get any argument from this Senator about trying to do more for Mississippi and more for Louisiana. He would like to do more and so would I, but not at the expense of poor children in these other States.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
-0.477
Negative
Moderation
Violence
0.0160503259
OpenAI Moderation v1 (007)
Sexual
0.0101634199
OpenAI Moderation v1 (007)
Violence > Graphic
0.0072467839
OpenAI Moderation v1 (007)
Harassment
0.0051191317
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012927318
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012170974
OpenAI Moderation v1 (007)
Hate
0.0002016865
OpenAI Moderation v1 (007)
Self-Harm
3.96561E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.85041E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7899E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.785E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.343
Magnitude:
68
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
57.5
Gunning-Fog Score
12.7
Coleman-Liau Index
9.3
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
20
Ted Kennedy
So, Mr. President, what have we tried to do? We looked at the old formula which had concentration grants. To receive these grants, you had to have 6,500 poor children in your particular district, or have at least 15 percent of your children be poor. Some communities had 14, some 13, some 12 percent, and some had 6,000 poor children; they were left out. We saw inequities in those areas. In the basic grant program, we said if you have 10 poor children, you get some funding, and that went to some of the most affluent districts in this country; and we are gradually phasing those districts out of the program.
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
-0.796
Very Negative
Moderation
Violence
0.0830740668
OpenAI Moderation v1 (007)
Harassment
0.0389293855
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0081415688
OpenAI Moderation v1 (007)
Hate
0.0064275824
OpenAI Moderation v1 (007)
Sexual
0.0035102199
OpenAI Moderation v1 (007)
Hate > Threatening
0.0007371405
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004807989
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003430406
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001961046
OpenAI Moderation v1 (007)
Self-Harm
0.0001568409
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.5303E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.609
Magnitude:
63
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
84.9
Gunning-Fog Score
8.9
Coleman-Liau Index
8.3
SMOG Index
9
Automated Readability Index
5.9
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
20
Ted Kennedy
What have we replaced those with? We have provided a weighted formula, and that means giving high poverty districts a higher per pupil grant than low-poverty districts. Why? For the reasons the Senator pointed out, and the GAO points out: that the areas of greatest need are where you have the high concentrations of children in poverty. These are the areas that have the most need. These are places like Baltimore, New York, Philadelphia, Detroit, Boston, and Washington, which are among the ten poorest cities in the Nation, and many others; those places have high concentrations of poverty. The GAO said they are the areas that need the greatest help and assistance. So we used the weighted formula to take that into account.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
-0.05882
Neutral
Harvard-IV (Absolute)
-0.05882
Neutral
Harvard-IV (Logit)
-0.11123
VADER
0.666
Very Positive
Moderation
Violence
0.0673900126
OpenAI Moderation v1 (007)
Sexual
0.027037962
OpenAI Moderation v1 (007)
Hate
0.0208860773
OpenAI Moderation v1 (007)
Harassment
0.0139112584
OpenAI Moderation v1 (007)
Violence > Graphic
0.0087631255
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033828463
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006563037
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004907978
OpenAI Moderation v1 (007)
Self-Harm
0.0001268954
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.5905E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.5734E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
85.666
Magnitude:
21
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
64.9
Gunning-Fog Score
9.4
Coleman-Liau Index
12
SMOG Index
10.8
Automated Readability Index
8.6
Dale-Chall Readability Score
5.2
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
35
Sprache Difficult Word Count
29
Ted Kennedy
Then we have the cost factor, which varies from State to State according to the State per pupil spending. This tells us the cost of providing an education in each State. This exists in the current formula, but we made adjustments somewhat to benefit States such as Mississippi and Louisiana.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.555
Very Positive
Moderation
Violence
0.0107192747
OpenAI Moderation v1 (007)
Violence > Graphic
0.0037944214
OpenAI Moderation v1 (007)
Sexual
0.0001678061
OpenAI Moderation v1 (007)
Harassment
0.0001479089
OpenAI Moderation v1 (007)
Harassment > Threatening
2.31706E-5
OpenAI Moderation v1 (007)
Hate
2.19483E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.44837E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.0953E-6
OpenAI Moderation v1 (007)
Self-Harm
1.6562E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.87E-8
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6E-9
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
59.6
Gunning-Fog Score
12.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
5.9
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Ted Kennedy
Then we included in the formula an effort factor that gives the States a bonus for high fiscal effort; that is, if they spend a lot on education relative to their ability to spend. That is an incentive for those areas that are going to provide more for 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
0.807
Very Positive
Moderation
Violence > Graphic
0.0154279653
OpenAI Moderation v1 (007)
Sexual
0.0095391988
OpenAI Moderation v1 (007)
Violence
0.0073676238
OpenAI Moderation v1 (007)
Harassment
0.0022925344
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006053552
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003131349
OpenAI Moderation v1 (007)
Hate
9.73032E-5
OpenAI Moderation v1 (007)
Self-Harm
6.84655E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.76232E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.7463E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2591E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
55.9
Gunning-Fog Score
15.5
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
14
Ted Kennedy
Then we added an equity factor that gives States a bonus for equalized spending among school districts. This provides assistance to States that are trying to reduce the disparity in spending. Well, in my State, we are attempting to reduce the disparity, but in a different way; we say to school districts, "If you want to tax your people and spend a little more, we will not hold that against you." We lose out under that because you continue with the disparity. But some States benefit from some factors, and some benefit from others; it's a balance. We have also included a 100 percent State level hold-harmless for this fiscal year so no State will see an actual reduction in funds when the new formula takes effect.
Sentiment
Loughran McDonald (Relative)
-0.14286
Leans Negative
Loughran McDonald (Absolute)
-0.14286
Leans Negative
Loughran McDonald (Logit)
-0.25131
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
1.02165
VADER
0.827
Very Positive
Moderation
Harassment
0.0135712689
OpenAI Moderation v1 (007)
Violence
0.0054465727
OpenAI Moderation v1 (007)
Violence > Graphic
0.0052856321
OpenAI Moderation v1 (007)
Hate
0.0012886341
OpenAI Moderation v1 (007)
Sexual
0.0009410121
OpenAI Moderation v1 (007)
Self-Harm
0.0008834189
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007606912
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002946965
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000118978
OpenAI Moderation v1 (007)
Hate > Threatening
2.78095E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.9817E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
62.2
Gunning-Fog Score
13.2
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
32
Sprache Difficult Word Count
28
Ted Kennedy
Now, you can draw all kinds of formulas here. Mr. President, we have, I know, 8 or 10 different formulas. I have been around here long enough to know that you can offer a formula that benefits 26, 28, or 30 States and try and roll the Senate on this.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.382
Somewhat Positive
Moderation
Harassment
0.4632428288
OpenAI Moderation v1 (007)
Sexual > Minors
0.0116664763
OpenAI Moderation v1 (007)
Violence
0.0112803733
OpenAI Moderation v1 (007)
Violence > Graphic
0.0097107637
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024659941
OpenAI Moderation v1 (007)
Sexual
0.0017903521
OpenAI Moderation v1 (007)
Hate
0.0015294147
OpenAI Moderation v1 (007)
Self-Harm
0.0007964116
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002450948
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001733276
OpenAI Moderation v1 (007)
Hate > Threatening
7.3469E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.4
Flesch-Kincaid Ease
92.6
Gunning-Fog Score
9
Coleman-Liau Index
5.6
SMOG Index
9.7
Automated Readability Index
2
Dale-Chall Readability Score
2.8
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Ted Kennedy
And I daresay I have an amendment that I can put out there that would benefit my State even more and benefit 30 States at the cost of other States. But I am reminded of a distinguished statesman in 1982, one of our colleagues here, who pointed out the purpose of title I is to provide supplemental education programs for poor children so they will have an opportunity to learn to the same high standards as other children. It was not created to be an income redistribution program which equalizes the difference in per capita income.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.689
Very Positive
Moderation
Harassment
0.2069998998
OpenAI Moderation v1 (007)
Violence
0.0273899961
OpenAI Moderation v1 (007)
Harassment > Threatening
0.019495844
OpenAI Moderation v1 (007)
Sexual > Minors
0.0071691211
OpenAI Moderation v1 (007)
Sexual
0.0040662071
OpenAI Moderation v1 (007)
Hate
0.0024828827
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021199276
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004254878
OpenAI Moderation v1 (007)
Self-Harm
0.0001830808
OpenAI Moderation v1 (007)
Hate > Threatening
1.58192E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.39873E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
44.8
Gunning-Fog Score
19
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
25
Ted Kennedy
The committee formula as well as the current formula is the result of a delicate political compromise.
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
Harassment
0.0145441198
OpenAI Moderation v1 (007)
Violence > Graphic
0.0114702794
OpenAI Moderation v1 (007)
Violence
0.0105538398
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027185897
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022728334
OpenAI Moderation v1 (007)
Hate
0.0012976068
OpenAI Moderation v1 (007)
Sexual
0.0007715385
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005248504
OpenAI Moderation v1 (007)
Self-Harm
0.0001003196
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.56116E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.0767E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
42.659
Magnitude:
104
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Social Welfare
Score:
38.229
Magnitude:
104
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
8.3
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
7
Ted Kennedy
During the litigation of the chapter I formula in 1982, 50 Senators in Congress filed an amicus brief on behalf of the State contesting the use of 1980 census data. That brief was led by then-Senator Denton and included Senator Bumpers and it stated the following:
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)
1.60944
VADER
-0.202
Slightly Negative
Moderation
Violence
0.0145639511
OpenAI Moderation v1 (007)
Violence > Graphic
0.0053435193
OpenAI Moderation v1 (007)
Harassment
0.0036244513
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034423087
OpenAI Moderation v1 (007)
Sexual
0.0009038821
OpenAI Moderation v1 (007)
Hate
0.0002524545
OpenAI Moderation v1 (007)
Harassment > Threatening
8.95567E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.91369E-5
OpenAI Moderation v1 (007)
Self-Harm
6.48475E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.38179E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.1855E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
53.4
Gunning-Fog Score
14.5
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
7.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
Ted Kennedy
Mr. President, those are words of wisdom indeed. They apply to the formula then and they apply equally to the formula approved by the committee now contained in S. 1513.
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
0.735
Very Positive
Moderation
Harassment
0.6611865014
OpenAI Moderation v1 (007)
Violence
0.0328312453
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0196348265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0093499766
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041980184
OpenAI Moderation v1 (007)
Sexual
0.0007528478
OpenAI Moderation v1 (007)
Hate
0.0006495391
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.84488E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.4776E-6
OpenAI Moderation v1 (007)
Self-Harm
3.4818E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.2288E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
36.92
Magnitude:
97
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
24.9
Magnitude:
97
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
75.1
Gunning-Fog Score
8.3
Coleman-Liau Index
9.9
SMOG Index
9
Automated Readability Index
2.9
Dale-Chall Readability Score
6.2
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
9
Ted Kennedy
I daresay, Mr. President, there are States where this whole process and this formula has not worked fairly, and that has been true, I think, in particular in California and also in the State of Texas.
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
0.422
Positive
Moderation
Harassment
0.001273897
OpenAI Moderation v1 (007)
Sexual
0.0011562751
OpenAI Moderation v1 (007)
Violence
0.0009355646
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006698501
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001958715
OpenAI Moderation v1 (007)
Harassment > Threatening
8.28748E-5
OpenAI Moderation v1 (007)
Hate
1.62077E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.8727E-6
OpenAI Moderation v1 (007)
Self-Harm
2.7006E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1562E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.564E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.151
Magnitude:
69
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
10.5
Coleman-Liau Index
10
SMOG Index
11.3
Automated Readability Index
8.2
Dale-Chall Readability Score
5.3
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
11
Ted Kennedy
We have tried to talk with those Senators about trying to provide additional kinds of help and assistance. We have migratory legislation that helps and assists the migrants that move through those States and one or two other programs where these States are substantial beneficiaries. There are other impacted States. The State of Georgia does not do well under this formula but in terms of the impact aid assistance that it gets, Georgia does do well and can assist many of the similar kinds of children.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
0.754
Very Positive
Moderation
Harassment
0.0214463624
OpenAI Moderation v1 (007)
Violence
0.0146404767
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022346545
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017634515
OpenAI Moderation v1 (007)
Sexual
0.001400502
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012332574
OpenAI Moderation v1 (007)
Hate
0.0011665804
OpenAI Moderation v1 (007)
Self-Harm
0.0006570145
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001844845
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001540647
OpenAI Moderation v1 (007)
Hate > Threatening
1.40623E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.686
Magnitude:
104
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
55.2
Gunning-Fog Score
13.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Ted Kennedy
We have tried to look at the total range of different Federal aid, whether in the areas of Indian education, which benefits States like New Mexico, or other programs that affect poor children and benefit other States that do not do quite as well in this formula.
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
0.749
Very Positive
Moderation
Harassment
1.2611819431
OpenAI Moderation v1 (007)
Violence > Graphic
0.0216196422
OpenAI Moderation v1 (007)
Violence
0.0159204908
OpenAI Moderation v1 (007)
Hate
0.0068820402
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026782944
OpenAI Moderation v1 (007)
Sexual
0.002622996
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009037055
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006707195
OpenAI Moderation v1 (007)
Self-Harm
0.0003561883
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.21705E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.622E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
55.901
Magnitude:
83
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.5
Gunning-Fog Score
19
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Ted Kennedy
So, Mr. President, in any of these various considerations, whatever we do, there are areas which we know -- all of us -- that there are needy and poor children that still are not having the kind of attention and assistance that any of us would like.
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
-0.459
Negative
Moderation
Harassment > Threatening
0.0044775723
OpenAI Moderation v1 (007)
Harassment
0.0022242131
OpenAI Moderation v1 (007)
Violence
0.0020977976
OpenAI Moderation v1 (007)
Sexual
0.0002716592
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001611412
OpenAI Moderation v1 (007)
Hate
0.0001367313
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001303693
OpenAI Moderation v1 (007)
Self-Harm
0.000128895
OpenAI Moderation v1 (007)
Violence > Graphic
5.41049E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.2733E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.5243E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
90.539
Magnitude:
66
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
63.7
Gunning-Fog Score
13.4
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
9
Ted Kennedy
Under the Bumpers amendment, however, we have States that have some of the lowest State child poverty rates in the country, 10.7 percent statewide child poverty rate in one State. And under the Bumpers amendment, that State gets the same kind of per pupil allocation as the high-poverty States that he's listed out here.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.848
Very Negative
Moderation
Harassment
0.6129850633
OpenAI Moderation v1 (007)
Sexual
0.0946425716
OpenAI Moderation v1 (007)
Sexual > Minors
0.0304623158
OpenAI Moderation v1 (007)
Violence
0.0033756725
OpenAI Moderation v1 (007)
Self-Harm
0.0032932887
OpenAI Moderation v1 (007)
Hate
0.0032479766
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001830918
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000609425
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004282866
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001310709
OpenAI Moderation v1 (007)
Hate > Threatening
8.359E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.097
Magnitude:
72
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
55.9
Gunning-Fog Score
16.8
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Ted Kennedy
How do you figure that? How do you think of that?
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
0.0268451608
OpenAI Moderation v1 (007)
Violence > Graphic
0.0244474184
OpenAI Moderation v1 (007)
Harassment
0.0186529287
OpenAI Moderation v1 (007)
Sexual
0.0064823049
OpenAI Moderation v1 (007)
Sexual > Minors
0.0041610983
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013822072
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0013589914
OpenAI Moderation v1 (007)
Self-Harm
0.0008818567
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003984183
OpenAI Moderation v1 (007)
Hate
0.0002609695
OpenAI Moderation v1 (007)
Hate > Threatening
1.07254E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
94.56
Magnitude:
116
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.2
Coleman-Liau Index
4
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Ted Kennedy
Mr. President, as I started off, I regret this debate because I have too much respect and affection for all those who are sponsors and leaders on the other side. They are all talking about people that I care very deeply about and that we would like to help and to assist, and those are the neediest children in our country.
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
0.902
Very Positive
Moderation
Harassment
0.1976791769
OpenAI Moderation v1 (007)
Violence
0.0077837845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0063859821
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025930436
OpenAI Moderation v1 (007)
Hate
0.0023573315
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0018679944
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016610375
OpenAI Moderation v1 (007)
Self-Harm
0.0014730875
OpenAI Moderation v1 (007)
Sexual
6.46879E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.72869E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.81346E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
69.336
Magnitude:
123
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
71.1
Gunning-Fog Score
9.4
Coleman-Liau Index
9
SMOG Index
7.9
Automated Readability Index
8.6
Dale-Chall Readability Score
4.1
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Ted Kennedy
I take no satisfaction in this debate and discussion, and we always find that these are difficult and complex issues. Maybe those are not the best ways. Obviously, there is a balance. There are many considerations.
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
-0.409
Negative
Moderation
Sexual
0.0472059124
OpenAI Moderation v1 (007)
Sexual > Minors
0.0151299682
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048769012
OpenAI Moderation v1 (007)
Violence
0.0040518578
OpenAI Moderation v1 (007)
Harassment
0.0009076371
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006482624
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003335268
OpenAI Moderation v1 (007)
Hate
3.38655E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.24601E-5
OpenAI Moderation v1 (007)
Self-Harm
1.74501E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.8323E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
71.284
Magnitude:
22
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
61.4
Gunning-Fog Score
9.2
Coleman-Liau Index
12
SMOG Index
9.7
Automated Readability Index
5.7
Dale-Chall Readability Score
4.4
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Ted Kennedy
You can vary and change each of those ingredients in just a very small or minor way, just by a few percentage points, and you will see the swings of millions of dollars away from poor children in one place to another.
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
-0.477
Negative
Moderation
Harassment
0.0912681571
OpenAI Moderation v1 (007)
Violence > Graphic
0.0351687311
OpenAI Moderation v1 (007)
Violence
0.019644358
OpenAI Moderation v1 (007)
Sexual > Minors
0.0101507212
OpenAI Moderation v1 (007)
Sexual
0.003576482
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023822562
OpenAI Moderation v1 (007)
Hate
0.00235835
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001403747
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.70495E-5
OpenAI Moderation v1 (007)
Self-Harm
1.7724E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.16754E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
84.91
Magnitude:
127
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
49.4
Gunning-Fog Score
19
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Ted Kennedy
So as I mentioned, I regret that we are in the situation where we are struggling for the allocations of resources.
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
-0.709
Very Negative
Moderation
Sexual
0.0097760611
OpenAI Moderation v1 (007)
Sexual > Minors
0.0062079089
OpenAI Moderation v1 (007)
Violence
0.0048031914
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031854092
OpenAI Moderation v1 (007)
Harassment
0.000156099
OpenAI Moderation v1 (007)
Harassment > Threatening
6.83784E-5
OpenAI Moderation v1 (007)
Hate
2.6247E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.4253E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3931E-6
OpenAI Moderation v1 (007)
Self-Harm
1.3208E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.01E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.008
Magnitude:
39
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
56.6
Gunning-Fog Score
14.1
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Ted Kennedy
I know my friends and colleagues from Arkansas and from Mississippi and from other States that are out here, the people that are making this case, are the ones that care the deepest about those children, and those that are debating on the other side I think are among those that have the deepest commitment.
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
0.836
Very Positive
Moderation
Harassment
0.0172573215
OpenAI Moderation v1 (007)
Violence
0.0050988008
OpenAI Moderation v1 (007)
Hate
0.0027157628
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015935026
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002310315
OpenAI Moderation v1 (007)
Sexual
0.0002149976
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001723149
OpenAI Moderation v1 (007)
Self-Harm
5.92295E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.72814E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.71696E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.351E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
74.271
Magnitude:
27
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.6
Gunning-Fog Score
19
Coleman-Liau Index
10.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Ted Kennedy
So I appreciate and I respect and admire the arguments which are made, but I do think that there is sufficient justification for the existing formula that it should be retained.
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
0.547
Very Positive
Moderation
Violence
0.0138389281
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091747359
OpenAI Moderation v1 (007)
Harassment
0.0054355518
OpenAI Moderation v1 (007)
Sexual
0.0016564974
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013284073
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004633338
OpenAI Moderation v1 (007)
Hate
0.0003931286
OpenAI Moderation v1 (007)
Self-Harm
6.19571E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8375E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.22331E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.2087E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.218
Magnitude:
106
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.6
Gunning-Fog Score
19
Coleman-Liau Index
11.7
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
9
Ted Kennedy
Mr. President, how much time remains on each side?
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
0.721183978
OpenAI Moderation v1 (007)
Violence
0.0760217663
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0429722888
OpenAI Moderation v1 (007)
Sexual > Minors
0.0082164122
OpenAI Moderation v1 (007)
Violence > Graphic
0.0074306663
OpenAI Moderation v1 (007)
Hate
0.0046357585
OpenAI Moderation v1 (007)
Sexual
0.0010847922
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001898309
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.63226E-5
OpenAI Moderation v1 (007)
Self-Harm
2.18631E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.07512E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
94.768
Magnitude:
68
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.6
Flesch-Kincaid Ease
98.9
Gunning-Fog Score
1.8
Coleman-Liau Index
9.7
SMOG Index
3.3
Automated Readability Index
1.2
Dale-Chall Readability Score
3.7
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
The PRESIDING OFFICER (Mr. Feingold). The Senator from Massachusetts has 45 and \1/2\ minutes; the Senator from Arkansas has 39 and \1/2\ minutes.
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
0.0899885723
OpenAI Moderation v1 (007)
Harassment
0.0414772338
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033615252
OpenAI Moderation v1 (007)
Self-Harm
0.0020574311
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006681135
OpenAI Moderation v1 (007)
Hate
0.000659313
OpenAI Moderation v1 (007)
Sexual
0.0006447665
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000380504
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000274612
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001053454
OpenAI Moderation v1 (007)
Hate > Threatening
3.04033E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
83.354
Magnitude:
39
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.2
Flesch-Kincaid Ease
79.9
Gunning-Fog Score
3.3
Coleman-Liau Index
8.7
SMOG Index
11.3
Automated Readability Index
2.3
Dale-Chall Readability Score
4.8
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Dale Bumpers
Mr. President, does the Senator from Rhode Island wish to speak?
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
Harassment
1.2459941208
OpenAI Moderation v1 (007)
Sexual
0.1090708305
OpenAI Moderation v1 (007)
Sexual > Minors
0.0543061353
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0071050636
OpenAI Moderation v1 (007)
Self-Harm
0.0050774852
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0031294741
OpenAI Moderation v1 (007)
Violence
0.0022670385
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016857921
OpenAI Moderation v1 (007)
Hate
0.0008752611
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001585502
OpenAI Moderation v1 (007)
Hate > Threatening
4.4256E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
89.486
Magnitude:
56
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
2.2
Coleman-Liau Index
11.5
SMOG Index
7.3
Automated Readability Index
3.2
Dale-Chall Readability Score
6
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Claiborne Pell
I request 3 minutes.
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
0.1847150736
OpenAI Moderation v1 (007)
Violence
0.0110792011
OpenAI Moderation v1 (007)
Sexual > Minors
0.0065838205
OpenAI Moderation v1 (007)
Hate
0.0051373921
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047007983
OpenAI Moderation v1 (007)
Sexual
0.0026472409
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025959584
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7439E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.25955E-5
OpenAI Moderation v1 (007)
Self-Harm
1.01109E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.2247E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.214
Magnitude:
45
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
6.2
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
The Presiding Officer
The PRESIDING OFFICER.
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
0.0326329056
OpenAI Moderation v1 (007)
Sexual
0.018470845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0066902816
OpenAI Moderation v1 (007)
Violence > Graphic
0.0050282877
OpenAI Moderation v1 (007)
Harassment
0.0005460188
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003251867
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003031013
OpenAI Moderation v1 (007)
Self-Harm
0.0002587379
OpenAI Moderation v1 (007)
Hate
0.0001675579
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.41963E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9788E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
55.332
Magnitude:
73
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
44.2
Gunning-Fog Score
1.6
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
6.5
Dale-Chall Readability Score
6.1
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5
Claiborne Pell
Mr. President, I am afraid that some of us must oppose the amendment offered by Senator Cochran and Senator Bumpers. It has the effect of producing dramatic swings in funding largely to accommodate regional demographics. Such a shift could threaten the widespread support for title I funding that exists today regardless of the region of the country from which one of us comes. Actually, it could result in States ending up with a larger piece of the pie and others with a smaller piece. But it should be borne in mind that no State loses under a hold harmless provision.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.06667
Neutral
Harvard-IV (Absolute)
0.06667
Neutral
Harvard-IV (Logit)
0.12516
VADER
-0.34
Somewhat Negative
Moderation
Violence
0.0520545815
OpenAI Moderation v1 (007)
Violence > Graphic
0.0331759016
OpenAI Moderation v1 (007)
Harassment
0.0041149837
OpenAI Moderation v1 (007)
Hate
0.0005693936
OpenAI Moderation v1 (007)
Sexual
0.0004526529
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002107023
OpenAI Moderation v1 (007)
Self-Harm
0.0001717723
OpenAI Moderation v1 (007)
Sexual > Minors
2.49138E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.17229E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3423E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.946E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
90.577
Magnitude:
175
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
60.5
Gunning-Fog Score
11.1
Coleman-Liau Index
11.5
SMOG Index
11.7
Automated Readability Index
8.8
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
34
Sprache Difficult Word Count
34
Claiborne Pell
By contrast the committee formula is well balanced and fair. Those who benefit come from the North, South, East and West. The committee worked pretty hard with the formula to acknowledge that State spending on education should be linked to both the cost of education and to the State's fiscal capacity. The adjustments already in the committee- reported formula add several Southern States, some of which are not wealthy but do make a major investment in education and deserve to be rewarded.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.83333
Very Positive
Harvard-IV (Absolute)
0.83333
Very Positive
Harvard-IV (Logit)
2.03688
VADER
0.847
Very Positive
Moderation
Sexual
0.0534799183
OpenAI Moderation v1 (007)
Harassment
0.0414299313
OpenAI Moderation v1 (007)
Violence
0.0395321869
OpenAI Moderation v1 (007)
Sexual > Minors
0.0071760907
OpenAI Moderation v1 (007)
Hate
0.004774216
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043841606
OpenAI Moderation v1 (007)
Violence > Graphic
0.003770952
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002122263
OpenAI Moderation v1 (007)
Self-Harm
0.0001539854
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.52975E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7078E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
64.602
Magnitude:
49
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Social Welfare
Score:
24.977
Magnitude:
49
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
50.9
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
26
Claiborne Pell
The pending amendment also includes a second fiscal capacity effort in which need is measured without sufficient consideration of the differences in the cost of living in different areas of our Nation. Several large States with very large concentrations of poverty experience significant losses of funding, something I believe we should avoid.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
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
-0.751
Very Negative
Moderation
Violence
0.0162825032
OpenAI Moderation v1 (007)
Sexual > Minors
0.006537536
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036406982
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027810813
OpenAI Moderation v1 (007)
Harassment
0.0026420003
OpenAI Moderation v1 (007)
Sexual
0.0025075924
OpenAI Moderation v1 (007)
Hate
8.77981E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.81051E-5
OpenAI Moderation v1 (007)
Self-Harm
3.68897E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.77407E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.7269E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.4
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
17
Sprache Difficult Word Count
22
Claiborne Pell
Also, the amendment -- and here I am talking about the amendment -- strikes the incentives in the committee formula that help States that spend heavily on education relative to their overall fiscal capacity, and it helps those States that have brought a substantial level of equity to their State education finance programs. I fear that removing both the effort and equity incentives would send a wrong message to the States. It would create a situation where States that do not devote a large portion of their resources to the education of children would, in the end, receive the most title I funds. This obviously is not fair and I know we all would wish to avoid it.
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)
1.27297
VADER
0.404
Positive
Moderation
Harassment
0.0183752141
OpenAI Moderation v1 (007)
Violence
0.0043534805
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036937883
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035820867
OpenAI Moderation v1 (007)
Sexual
0.0017716216
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010266645
OpenAI Moderation v1 (007)
Hate
0.0006722378
OpenAI Moderation v1 (007)
Self-Harm
0.000459501
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003998317
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00032003
OpenAI Moderation v1 (007)
Hate > Threatening
0.000152694
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
18.5
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
31
Claiborne Pell
I urge, therefore, that our colleagues join me in opposing the amendment.
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
0.296
Slightly Positive
Moderation
Harassment
0.0897002115
OpenAI Moderation v1 (007)
Sexual > Minors
0.0529258745
OpenAI Moderation v1 (007)
Sexual
0.0298287865
OpenAI Moderation v1 (007)
Violence
0.0218626112
OpenAI Moderation v1 (007)
Violence > Graphic
0.0211490551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0048170394
OpenAI Moderation v1 (007)
Hate
0.0025772581
OpenAI Moderation v1 (007)
Hate > Threatening
5.62178E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.55838E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.08002E-5
OpenAI Moderation v1 (007)
Self-Harm
1.65776E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
46.6
Gunning-Fog Score
18.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
7.7
Dale-Chall Readability Score
7.2
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
The Presiding Officer
The PRESIDING OFFICER.
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
0.2790271305
OpenAI Moderation v1 (007)
Violence
0.0397855067
OpenAI Moderation v1 (007)
Hate
0.0175094421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0122174941
OpenAI Moderation v1 (007)
Harassment > Threatening
0.008501752
OpenAI Moderation v1 (007)
Sexual
0.0054035296
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001917452
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001776816
OpenAI Moderation v1 (007)
Self-Harm
4.12651E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.9453E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.6402E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
75.653
Magnitude:
73
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
48.7
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.8
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
Mr. President, I yield to the Senator from Mississippi 20 minutes.
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
0.0199471047
OpenAI Moderation v1 (007)
Harassment
0.0173971421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0126653656
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0100411744
OpenAI Moderation v1 (007)
Sexual
0.009124264
OpenAI Moderation v1 (007)
Hate > Threatening
0.0037283113
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030265584
OpenAI Moderation v1 (007)
Hate
0.0021063714
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006878854
OpenAI Moderation v1 (007)
Self-Harm
0.0001432597
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.71712E-5
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
82.758
Magnitude:
262
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
70.5
Gunning-Fog Score
2.2
Coleman-Liau Index
11.5
SMOG Index
9
Automated Readability Index
3.2
Dale-Chall Readability Score
7.5
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
The Presiding Officer
The PRESIDING OFFICER.
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 > Graphic
0.0380186539
OpenAI Moderation v1 (007)
Violence
0.0196880123
OpenAI Moderation v1 (007)
Harassment
0.0185362296
OpenAI Moderation v1 (007)
Sexual
0.0105796149
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043748554
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021823966
OpenAI Moderation v1 (007)
Hate
0.000989187
OpenAI Moderation v1 (007)
Self-Harm
0.000106826
OpenAI Moderation v1 (007)
Hate > Threatening
8.03339E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.08843E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.277E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.9
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
9.9
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Thad Cochran
Mr. President, let me start off my remarks by inviting attention to this chart that is displayed behind my desk here.
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
0.318
Somewhat Positive
Moderation
Violence
0.0108718443
OpenAI Moderation v1 (007)
Harassment
0.00243618
OpenAI Moderation v1 (007)
Sexual
0.0014934322
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014211936
OpenAI Moderation v1 (007)
Hate
0.001016071
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000222743
OpenAI Moderation v1 (007)
Self-Harm
0.0001083334
OpenAI Moderation v1 (007)
Sexual > Minors
7.28641E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.21262E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.9034E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.0139E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
79.3
Gunning-Fog Score
8
Coleman-Liau Index
10.5
SMOG Index
9
Automated Readability Index
4.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
2.4
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Thad Cochran
It shows in yellow those States which will do better under the Bumpers-Cochran amendment than they do under the committee bill. They will get more money under the chapter I program.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.44
Positive
Moderation
Harassment
3.193282336
OpenAI Moderation v1 (007)
Sexual > Minors
0.0751271611
OpenAI Moderation v1 (007)
Hate
0.0255251827
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0148193576
OpenAI Moderation v1 (007)
Violence
0.0120417477
OpenAI Moderation v1 (007)
Sexual
0.0067456574
OpenAI Moderation v1 (007)
Violence > Graphic
0.0030453604
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.00062046
OpenAI Moderation v1 (007)
Self-Harm
0.0004631531
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003802424
OpenAI Moderation v1 (007)
Hate > Threatening
6.17413E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
69
Gunning-Fog Score
8.9
Coleman-Liau Index
11.4
SMOG Index
9
Automated Readability Index
8.4
Dale-Chall Readability Score
3.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Thad Cochran
The States in white will get less under the Bumpers-Cochran amendment than they will under the committee bill, but this does not mean that they do not get a lot of money. Some of those States already get very high percentages of funds in relation to the number of poor students in those States.
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)
-1.94591
VADER
-0.572
Very Negative
Moderation
Harassment
8.0492287874
OpenAI Moderation v1 (007)
Violence
0.0428519386
OpenAI Moderation v1 (007)
Violence > Graphic
0.0395561219
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0142768797
OpenAI Moderation v1 (007)
Sexual > Minors
0.0112012684
OpenAI Moderation v1 (007)
Sexual
0.0088062334
OpenAI Moderation v1 (007)
Hate
0.0074222538
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0013284896
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008069105
OpenAI Moderation v1 (007)
Self-Harm
0.0001019935
OpenAI Moderation v1 (007)
Hate > Threatening
1.152E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
65.1
Gunning-Fog Score
14.6
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Thad Cochran
There are 30 States in yellow which do better under the Bumpers- Cochran amendment. There are 20 States in white.
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)
1.09861
VADER
0.44
Positive
Moderation
Sexual
0.0683288032
OpenAI Moderation v1 (007)
Violence
0.0048137656
OpenAI Moderation v1 (007)
Harassment
0.0026113426
OpenAI Moderation v1 (007)
Hate
0.0019715391
OpenAI Moderation v1 (007)
Self-Harm
0.0018120882
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017777806
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010599835
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007551733
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004151295
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.05148E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.14615E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.1
Flesch-Kincaid Ease
90.9
Gunning-Fog Score
6
Coleman-Liau Index
9.8
SMOG Index
7.3
Automated Readability Index
4.1
Dale-Chall Readability Score
2.9
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Thad Cochran
The other thing that is shown on this map is the location of the students throughout the country who suffer from the highest poverty rates. Those are the poorest students in America, and you can see by looking at this map where they are located.
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
-0.883
Very Negative
Moderation
Violence > Graphic
0.0459134957
OpenAI Moderation v1 (007)
Violence
0.0246618642
OpenAI Moderation v1 (007)
Harassment
0.0064460706
OpenAI Moderation v1 (007)
Sexual
0.0042722771
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001047243
OpenAI Moderation v1 (007)
Sexual > Minors
0.0009776263
OpenAI Moderation v1 (007)
Hate
0.0002829292
OpenAI Moderation v1 (007)
Self-Harm
7.40908E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.88465E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.81148E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2146E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
59.924
Magnitude:
65
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
11.7
Coleman-Liau Index
10.1
SMOG Index
11.3
Automated Readability Index
10.5
Dale-Chall Readability Score
5
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Thad Cochran
The purpose of bringing that to the attention of the Senate is to confirm what the distinguished Senator from Arkansas said when he talked about where the money goes under the amendment we are proposing as compared to where the money goes under the committee proposal.
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
Harassment
0.0434179092
OpenAI Moderation v1 (007)
Sexual
0.0190758583
OpenAI Moderation v1 (007)
Sexual > Minors
0.0103255406
OpenAI Moderation v1 (007)
Violence > Graphic
0.0085383697
OpenAI Moderation v1 (007)
Violence
0.0042278891
OpenAI Moderation v1 (007)
Hate
0.0018137236
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007950069
OpenAI Moderation v1 (007)
Hate > Threatening
4.87341E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.90329E-5
OpenAI Moderation v1 (007)
Self-Harm
1.38856E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.954E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
91.839
Magnitude:
103
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
24
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
13
Sprache Difficult Word Count
13
Thad Cochran
Mr. President, children who live in poverty are the most vulnerable children. They are the ones who are the most likely to do poorly in school. They are the ones who are most likely to drop out. They are the most likely to end up with low-wage jobs or with no job at all. They are the most likely to go to prison. They are the most likely to end up on welfare.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
-0.907
Very Negative
Moderation
Hate
0.4414851777
OpenAI Moderation v1 (007)
Harassment
0.1969810575
OpenAI Moderation v1 (007)
Sexual
0.1266397303
OpenAI Moderation v1 (007)
Violence
0.0537187036
OpenAI Moderation v1 (007)
Violence > Graphic
0.0323114713
OpenAI Moderation v1 (007)
Sexual > Minors
0.0239936766
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037299793
OpenAI Moderation v1 (007)
Self-Harm
0.0023996901
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022776394
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012082943
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002345618
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
44.508
Magnitude:
88
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Social Welfare
Score:
40.836
Magnitude:
88
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.9
Flesch-Kincaid Ease
93.2
Gunning-Fog Score
5.3
Coleman-Liau Index
6.4
SMOG Index
6.3
Automated Readability Index
1.6
Dale-Chall Readability Score
2
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Thad Cochran
In testimony before the Labor Committee, Secretary Riley pointed out that 82 percent of those in prison in America today are school dropouts.
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
-0.511
Very Negative
Moderation
Harassment
0.0526659482
OpenAI Moderation v1 (007)
Violence > Graphic
0.0139089636
OpenAI Moderation v1 (007)
Violence
0.0079578851
OpenAI Moderation v1 (007)
Hate
0.0058513371
OpenAI Moderation v1 (007)
Sexual
0.0033860542
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019968533
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006962045
OpenAI Moderation v1 (007)
Self-Harm
2.83935E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.31734E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.4324E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2014E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.7
Gunning-Fog Score
10.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.3
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Thad Cochran
Poor students in high-poverty schools perform worse than poor students in low-poverty schools.
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)
-1.94591
VADER
-0.852
Very Negative
Moderation
Harassment
1.5767777339
OpenAI Moderation v1 (007)
Violence
0.01112502
OpenAI Moderation v1 (007)
Sexual
0.0106670377
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0050034243
OpenAI Moderation v1 (007)
Hate
0.001584468
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012611792
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008407023
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000525012
OpenAI Moderation v1 (007)
Self-Harm
0.0003914474
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001273221
OpenAI Moderation v1 (007)
Hate > Threatening
4.0518E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
64.843
Magnitude:
72
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
20.319
Magnitude:
72
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
67.5
Gunning-Fog Score
11.3
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
10.9
Dale-Chall Readability Score
6
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
4
Thad Cochran
As a matter of fact, the performance of all students in a school, regardless of their economic circumstance, suffers because of a high concentration of poverty. This achievement gap between the students in the high- and low-poverty schools widens as the children move through elementary grades into junior high school.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.743
Very Negative
Moderation
Harassment
1.0793701746
OpenAI Moderation v1 (007)
Violence
0.0755061919
OpenAI Moderation v1 (007)
Violence > Graphic
0.055813801
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0233977829
OpenAI Moderation v1 (007)
Hate
0.0052406813
OpenAI Moderation v1 (007)
Sexual
0.0001187333
OpenAI Moderation v1 (007)
Self-Harm
7.61461E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.11232E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.58796E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.20944E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.07221E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.501
Magnitude:
19
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.6
Gunning-Fog Score
18
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
14
Thad Cochran
In 1965, the Congress passed legislation to allocate Federal funds to help provide remedial education instruction to the poorest school districts in America.
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
-0.202
Slightly Negative
Moderation
Harassment
1.5355699696
OpenAI Moderation v1 (007)
Hate
0.0191696527
OpenAI Moderation v1 (007)
Sexual > Minors
0.0084275889
OpenAI Moderation v1 (007)
Violence
0.0044989047
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030005303
OpenAI Moderation v1 (007)
Self-Harm
0.0019379682
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009477498
OpenAI Moderation v1 (007)
Sexual
0.0007656358
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006472888
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002332673
OpenAI Moderation v1 (007)
Hate > Threatening
3.18483E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.6
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
10
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Thad Cochran
Congress recognized the impact that concentrations of low-income families have on student achievement and the ability of school districts to support adequate educational programs.
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
0.71
Very Positive
Moderation
Harassment
0.3253831761
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0298333936
OpenAI Moderation v1 (007)
Violence
0.0181440235
OpenAI Moderation v1 (007)
Hate
0.0021635926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013528104
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000373881
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003137231
OpenAI Moderation v1 (007)
Sexual
0.0002968365
OpenAI Moderation v1 (007)
Self-Harm
0.0002462433
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001150259
OpenAI Moderation v1 (007)
Hate > Threatening
1.28278E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
45.427
Magnitude:
25
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
12.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.8
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Thad Cochran
The chapter 1 program has evolved from that beginning, and it has made a tremendous difference in the lives of millions of children over the past three decades.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
Neutral
Moderation
Harassment
2.4026395753
OpenAI Moderation v1 (007)
Violence
0.2364844549
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0841169385
OpenAI Moderation v1 (007)
Sexual > Minors
0.038366759
OpenAI Moderation v1 (007)
Hate
0.0088203102
OpenAI Moderation v1 (007)
Sexual
0.0035406287
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016249154
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003583806
OpenAI Moderation v1 (007)
Self-Harm
0.0001667019
OpenAI Moderation v1 (007)
Hate > Threatening
7.28369E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2578E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
87.962
Magnitude:
14
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
54.5
Gunning-Fog Score
16.9
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
9
Thad Cochran
In another statement to the committee, Secretary Riley, said earlier this year:
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
0.0829514931
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0118930788
OpenAI Moderation v1 (007)
Harassment
0.0082272243
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0014287671
OpenAI Moderation v1 (007)
Hate
0.0013563408
OpenAI Moderation v1 (007)
Self-Harm
0.0011494159
OpenAI Moderation v1 (007)
Sexual
0.0008725359
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006669454
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001764347
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001616069
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001503575
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
89.719
Magnitude:
19
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
32.5
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.1
Dale-Chall Readability Score
7.2
Sprache Readability Score
2.5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Thad Cochran
But under the committee bill, chapter 1 is insufficiently targeted to high-poverty communities and schools. The scarce resources are spread very thin, and will dilute our efforts to make a real difference.
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
Neutral
Moderation
Harassment
0.0114724564
OpenAI Moderation v1 (007)
Violence
0.0088470893
OpenAI Moderation v1 (007)
Sexual
0.0068192996
OpenAI Moderation v1 (007)
Violence > Graphic
0.0013491656
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001142448
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002852391
OpenAI Moderation v1 (007)
Hate
0.000265087
OpenAI Moderation v1 (007)
Hate > Threatening
5.9003E-5
OpenAI Moderation v1 (007)
Self-Harm
2.6436E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.1071E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.458E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
95.993
Magnitude:
101
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
49.1
Gunning-Fog Score
15.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Thad Cochran
The ineffectual targeting of these funds will leave the poorest districts with insufficient funds to serve all of their high-poverty schools and low-achieving children.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.71
Very Negative
Moderation
Sexual
0.022019005
OpenAI Moderation v1 (007)
Hate
0.0042897795
OpenAI Moderation v1 (007)
Harassment
0.0027180275
OpenAI Moderation v1 (007)
Violence
0.0023264092
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020831505
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008674194
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002932622
OpenAI Moderation v1 (007)
Self-Harm
0.0002052336
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001218913
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.33314E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.21708E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
91.159
Magnitude:
48
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.8
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
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Thad Cochran
While I commend very sincerely the committee and its membership for the hard work they put into this bill and the commitment the chairman and ranking member have shown to the children of America, I do not believe the Improving America's Schools Act as proposed, fulfills the original promise of title 1. It does not adequately concentrate the funds where they are needed most, in the poorest schools. Our resources must be focused in those areas that have a particularly high number of educationally disadvantaged and low-income students.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.849
Very Positive
Moderation
Sexual
0.010362974
OpenAI Moderation v1 (007)
Harassment
0.0065261935
OpenAI Moderation v1 (007)
Violence
0.0039543822
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021907061
OpenAI Moderation v1 (007)
Hate
0.0005038291
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004559104
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002841948
OpenAI Moderation v1 (007)
Hate > Threatening
2.36718E-5
OpenAI Moderation v1 (007)
Self-Harm
6.7145E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0696E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.005E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
30.428
Magnitude:
35
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37
Gunning-Fog Score
17.7
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
30
Thad Cochran
In order to fulfill the purpose, the bill calls for distributing resources, in amounts sufficient to make a difference, to areas where needs are greatest.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.796
Very Positive
Moderation
Harassment
0.0266665942
OpenAI Moderation v1 (007)
Hate
0.003222299
OpenAI Moderation v1 (007)
Violence
0.0018401726
OpenAI Moderation v1 (007)
Sexual
0.001394643
OpenAI Moderation v1 (007)
Violence > Graphic
0.000944642
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008359772
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001765454
OpenAI Moderation v1 (007)
Self-Harm
0.000156981
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001516368
OpenAI Moderation v1 (007)
Hate > Threatening
7.83088E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.88266E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
16.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Thad Cochran
But does the bill accomplish its stated purpose? Do these funds get to the children who need them most?
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
0.487
Positive
Moderation
Harassment
0.0465846068
OpenAI Moderation v1 (007)
Violence
0.0032959939
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018758614
OpenAI Moderation v1 (007)
Sexual
0.0017552135
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016629758
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015829501
OpenAI Moderation v1 (007)
Hate
0.0010042584
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001393772
OpenAI Moderation v1 (007)
Self-Harm
3.69611E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8939E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.5161E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3
Flesch-Kincaid Ease
90.3
Gunning-Fog Score
5.9
Coleman-Liau Index
9.9
SMOG Index
7.3
Automated Readability Index
3.9
Dale-Chall Readability Score
3.8
Sprache Readability Score
2.2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Thad Cochran
The answer, I am afraid, is "no." The bill provides a generous funding effort bonus, which was described very well by the distinguished Senator from Arkansas. It goes to those States that spend the most on their students from State resources. This so-called effort factor is also used in the cost factor elsewhere in the bill and has the effect of rewarding wealthy States because they have the resources to spend more on their students.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.63636
Very Positive
Harvard-IV (Absolute)
0.63636
Very Positive
Harvard-IV (Logit)
1.335
VADER
0.916
Very Positive
Moderation
Harassment
0.0068494941
OpenAI Moderation v1 (007)
Violence
0.0031981628
OpenAI Moderation v1 (007)
Violence > Graphic
0.001938423
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005543576
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002888285
OpenAI Moderation v1 (007)
Sexual
0.0001133687
OpenAI Moderation v1 (007)
Hate
5.26029E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.39088E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.37154E-5
OpenAI Moderation v1 (007)
Self-Harm
1.07015E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0789E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
64
Gunning-Fog Score
10.8
Coleman-Liau Index
11.5
SMOG Index
11.3
Automated Readability Index
9.9
Dale-Chall Readability Score
5.1
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Thad Cochran
Now, in my State of Mississippi, as in other States where the tax base is relatively low compared to the more wealthy States, you may be surprised to find that we spend a much higher percentage of tax revenues on education than most other States do. I think Mississippi is in the top 10.
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
0.521
Very Positive
Moderation
Violence
0.0182893025
OpenAI Moderation v1 (007)
Harassment
0.01407417
OpenAI Moderation v1 (007)
Violence > Graphic
0.0056516197
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009672536
OpenAI Moderation v1 (007)
Hate
0.0004544783
OpenAI Moderation v1 (007)
Sexual
0.0003132071
OpenAI Moderation v1 (007)
Sexual > Minors
9.6726E-5
OpenAI Moderation v1 (007)
Self-Harm
4.14891E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.16838E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.13037E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2862E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.5
Flesch-Kincaid Ease
60.4
Gunning-Fog Score
14.5
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
4.3
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Thad Cochran
And do they get anything for that effort, that effort to allocate the highest percentage age of their tax revenues to education? No, under this bill they do not get anything for that. That is not counted as effort.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
-0.296
Slightly Negative
Moderation
Violence
0.0300108339
OpenAI Moderation v1 (007)
Sexual
0.024554407
OpenAI Moderation v1 (007)
Harassment
0.0198887821
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046459645
OpenAI Moderation v1 (007)
Sexual > Minors
0.0033555265
OpenAI Moderation v1 (007)
Self-Harm
0.0027278484
OpenAI Moderation v1 (007)
Violence > Graphic
0.0020864194
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012094793
OpenAI Moderation v1 (007)
Hate
0.0007590137
OpenAI Moderation v1 (007)
Hate > Threatening
6.2517E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.00489E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
46.209
Magnitude:
37
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
67.8
Gunning-Fog Score
11.4
Coleman-Liau Index
10
SMOG Index
11.3
Automated Readability Index
5.7
Dale-Chall Readability Score
4.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
11
Thad Cochran
You only get rewarded for effort if you are rich to start with. That is what this committee formula does. Not only does that penalize the poorest States, it does not take into account the number of school-aged children a State is responsible for educating. That is contrary to the very purpose of the act.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
0.71
Very Positive
Moderation
Violence
0.0180030736
OpenAI Moderation v1 (007)
Sexual
0.0062166466
OpenAI Moderation v1 (007)
Harassment
0.0052760741
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047758786
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004269511
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003082072
OpenAI Moderation v1 (007)
Hate
0.0002928614
OpenAI Moderation v1 (007)
Self-Harm
1.75305E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.6892E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.507E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.016E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
42.286
Magnitude:
75
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Civil Rights
Score:
40.711
Magnitude:
75
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
68.7
Gunning-Fog Score
10.6
Coleman-Liau Index
9.9
SMOG Index
10.8
Automated Readability Index
6.2
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
13
Thad Cochran
The bill also creates a new equity bonus. This factor uses a coefficient of variation among school districts -- which is the average difference in district spending per pupil from mean or overall average district per pupil expenditure in an individual State. If this sounds confusing -- it is.
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
0.681
Very Positive
Moderation
Violence
0.0274987426
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0244685216
OpenAI Moderation v1 (007)
Harassment
0.0170085856
OpenAI Moderation v1 (007)
Hate
0.0156137874
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091932328
OpenAI Moderation v1 (007)
Hate > Threatening
0.0051995383
OpenAI Moderation v1 (007)
Sexual
0.0025229774
OpenAI Moderation v1 (007)
Self-Harm
0.0009765268
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005264189
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001019564
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.16431E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.183
Magnitude:
67
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
41.5
Gunning-Fog Score
14.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.3
Dale-Chall Readability Score
6.5
Sprache Readability Score
4
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
18
Thad Cochran
Try to figure out how to measure that and what it measures. I will be surprised if any 2 of the 100 Senators would come out with the same answer.
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
0.226
Slightly Positive
Moderation
Violence
0.0169195875
OpenAI Moderation v1 (007)
Harassment
0.0014994188
OpenAI Moderation v1 (007)
Sexual
0.0014988284
OpenAI Moderation v1 (007)
Violence > Graphic
0.001251076
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002785415
OpenAI Moderation v1 (007)
Hate
4.27397E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
3.53273E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.239E-7
OpenAI Moderation v1 (007)
Self-Harm
4.022E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.5E-9
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0E-10
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
20.64
Magnitude:
82
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
87.3
Gunning-Fog Score
7.3
Coleman-Liau Index
5.8
SMOG Index
9
Automated Readability Index
3.3
Dale-Chall Readability Score
1.8
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Thad Cochran
Mr. President, this equity bonus is bad policy. The bonus purports to promote State-wide equalization of funding by the States with floor and ceiling limits that keep it from having any real leverage.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.25131
VADER
0.382
Somewhat Positive
Moderation
Violence
0.0322413136
OpenAI Moderation v1 (007)
Sexual
0.0059056016
OpenAI Moderation v1 (007)
Violence > Graphic
0.0048206657
OpenAI Moderation v1 (007)
Harassment
0.0042581672
OpenAI Moderation v1 (007)
Hate
0.0016929373
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007972383
OpenAI Moderation v1 (007)
Sexual > Minors
0.000300396
OpenAI Moderation v1 (007)
Self-Harm
0.000148289
OpenAI Moderation v1 (007)
Hate > Threatening
5.05961E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.02215E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.88156E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.3
Flesch-Kincaid Ease
56
Gunning-Fog Score
9.2
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
6.8
Dale-Chall Readability Score
6.1
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Thad Cochran
The only real effect the equity bonus has is to increase the funding that will be allocated to the State of Iowa.
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
0.7
Very Positive
Moderation
Harassment
0.6578070577
OpenAI Moderation v1 (007)
Violence > Graphic
0.0196661538
OpenAI Moderation v1 (007)
Hate
0.0073233889
OpenAI Moderation v1 (007)
Violence
0.0053658241
OpenAI Moderation v1 (007)
Sexual
0.0025578292
OpenAI Moderation v1 (007)
Self-Harm
0.0022110778
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001942848
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010501083
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008435839
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001227492
OpenAI Moderation v1 (007)
Hate > Threatening
2.59257E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
12.4
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
9.1
Dale-Chall Readability Score
6.1
Sprache Readability Score
4
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Thad Cochran
Now I know that is not the intent. I did not say that was the intent. I said it was the only real effect.
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)
1.60944
VADER
0
Neutral
Moderation
Harassment
21.9670951366
OpenAI Moderation v1 (007)
Hate
0.2880973974
OpenAI Moderation v1 (007)
Violence
0.1785983681
OpenAI Moderation v1 (007)
Violence > Graphic
0.1463314169
OpenAI Moderation v1 (007)
Sexual
0.0236785811
OpenAI Moderation v1 (007)
Self-Harm
0.0104333543
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0097449367
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0022798713
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0019501469
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011442557
OpenAI Moderation v1 (007)
Hate > Threatening
8.05832E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.8
Flesch-Kincaid Ease
96.5
Gunning-Fog Score
3.2
Coleman-Liau Index
3.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
2
Thad Cochran
The Bumpers-Cochran amendment has been developed from an analysis done by the Government Accounting Office. It is consistent with the purpose of the chapter 1 program, and it conforms to the policy of helping those who need the help most.
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
0.599
Very Positive
Moderation
Harassment
0.7562389597
OpenAI Moderation v1 (007)
Violence
0.0043428485
OpenAI Moderation v1 (007)
Hate
0.0040189738
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010039194
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008162609
OpenAI Moderation v1 (007)
Sexual
0.0002335558
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001467068
OpenAI Moderation v1 (007)
Self-Harm
8.99542E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.95732E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.08234E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.3224E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
56
Gunning-Fog Score
13.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.1
Dale-Chall Readability Score
6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Thad Cochran
This amendment redirects chapter 1 funds to those States with the greatest percentage of school-aged children living in poverty. That is what it does. It ensures that each State continues to receive sufficient resources to continue and operate its programs. It does not penalize these States in white. They still get a lot of money out of this program.
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
0.226
Slightly Positive
Moderation
Harassment
0.0407056912
OpenAI Moderation v1 (007)
Violence
0.026328399
OpenAI Moderation v1 (007)
Sexual > Minors
0.009926947
OpenAI Moderation v1 (007)
Violence > Graphic
0.0089808214
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0026415721
OpenAI Moderation v1 (007)
Sexual
0.0023509219
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0016889009
OpenAI Moderation v1 (007)
Hate
0.0012330599
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007383998
OpenAI Moderation v1 (007)
Self-Harm
0.0005210849
OpenAI Moderation v1 (007)
Hate > Threatening
1.51328E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
69.279
Magnitude:
66
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
70.6
Gunning-Fog Score
11.5
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
7.1
Dale-Chall Readability Score
4.8
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Thad Cochran
The amendment does not affect the within State targeting formula, either, which will provide better targeting to the poorest schools within a State.
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
-0.153
Leans Negative
Moderation
Violence
0.0392338639
OpenAI Moderation v1 (007)
Violence > Graphic
0.0260234083
OpenAI Moderation v1 (007)
Sexual
0.0065283166
OpenAI Moderation v1 (007)
Harassment
0.0052510823
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0037242
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023127521
OpenAI Moderation v1 (007)
Hate
0.000922362
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001023363
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.5985E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44095E-5
OpenAI Moderation v1 (007)
Self-Harm
1.1018E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.207
Magnitude:
36
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.7
Gunning-Fog Score
16.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
8
Thad Cochran
I want you to look at this bar graph and what it shows. It shifts very little, really, from the States that derive funds under this bill that are so-called wealthier States to those that are poorer.
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)
-1.60944
VADER
0.25
Slightly Positive
Moderation
Harassment
0.3382329596
OpenAI Moderation v1 (007)
Violence
0.0311757758
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0100311059
OpenAI Moderation v1 (007)
Sexual > Minors
0.0043109569
OpenAI Moderation v1 (007)
Sexual
0.0020368934
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010762827
OpenAI Moderation v1 (007)
Hate
0.0006185093
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005231184
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004153588
OpenAI Moderation v1 (007)
Self-Harm
5.16956E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.31958E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
68.617
Magnitude:
53
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.4
Flesch-Kincaid Ease
82.9
Gunning-Fog Score
9.7
Coleman-Liau Index
8.5
SMOG Index
9
Automated Readability Index
7.5
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
11
Thad Cochran
Here is a general depiction of what current law gives those States. That is what the committee bill would do. It leaves them relatively unchanged as far as their positions with each other is concerned.
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
Neutral
Moderation
Violence > Graphic
0.01341272
OpenAI Moderation v1 (007)
Violence
0.0050976872
OpenAI Moderation v1 (007)
Harassment
0.0024576408
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018660483
OpenAI Moderation v1 (007)
Sexual
0.0015717584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009797282
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000182254
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001468004
OpenAI Moderation v1 (007)
Hate
0.0001066422
OpenAI Moderation v1 (007)
Self-Harm
3.15711E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.2661E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
76.628
Magnitude:
46
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.5
Flesch-Kincaid Ease
76.6
Gunning-Fog Score
10.4
Coleman-Liau Index
11.8
SMOG Index
10.6
Automated Readability Index
6.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
12
Thad Cochran
But what the Bumpers-Cochran amendment does, it lifts poorer States more nearly to the level of the amount that larger States and wealthier States are getting per student in poverty. And that is the difference between Bumpers-Cochran and the committee formula.
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)
-1.94591
VADER
-0.382
Somewhat Negative
Moderation
Harassment
1.1299707927
OpenAI Moderation v1 (007)
Violence
0.0053948901
OpenAI Moderation v1 (007)
Sexual
0.0011351422
OpenAI Moderation v1 (007)
Hate
0.000848216
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007073804
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006944028
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004323729
OpenAI Moderation v1 (007)
Self-Harm
2.44555E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.24224E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3456E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.254E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
81.873
Magnitude:
46
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
53.2
Gunning-Fog Score
14.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.8
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
17
Thad Cochran
The changes made by the Bumpers-Cochran, let me just give you one example.
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
0.0310339383
OpenAI Moderation v1 (007)
Violence > Graphic
0.0257592008
OpenAI Moderation v1 (007)
Harassment
0.0140402306
OpenAI Moderation v1 (007)
Sexual > Minors
0.0025236488
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022340173
OpenAI Moderation v1 (007)
Sexual
0.001615447
OpenAI Moderation v1 (007)
Hate
0.0002626148
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.30842E-5
OpenAI Moderation v1 (007)
Self-Harm
1.69062E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.66951E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.4874E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
22.761
Magnitude:
29
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
77.8
Gunning-Fog Score
8.5
Coleman-Liau Index
9
SMOG Index
9
Automated Readability Index
5.4
Dale-Chall Readability Score
4.1
Sprache Readability Score
2.6
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Thad Cochran
A poor student in the State of Mississippi would receive $817 in chapter 1 funds in remedial instruction assistance. Under current law, that same student would receive $711. In contrast, a poor student in Connecticut would receive $927 instead of the $998 he or she would receive under current law. The committee bill, however would increase the Connecticut student's share to over $1,000.
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
-0.402
Negative
Moderation
Violence
0.0525583338
OpenAI Moderation v1 (007)
Harassment
0.0356028555
OpenAI Moderation v1 (007)
Violence > Graphic
0.017353188
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0122858852
OpenAI Moderation v1 (007)
Sexual
0.0035897738
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019906283
OpenAI Moderation v1 (007)
Self-Harm
0.0005823518
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003207741
OpenAI Moderation v1 (007)
Hate
0.0003058759
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001176011
OpenAI Moderation v1 (007)
Hate > Threatening
1.32824E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.412
Magnitude:
59
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
66.3
Gunning-Fog Score
9.5
Coleman-Liau Index
11.4
SMOG Index
11.3
Automated Readability Index
8.4
Dale-Chall Readability Score
5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Thad Cochran
So the Bumpers-Cochran formula replaces the committee "effort" and "equity" factors with a more accurate measurement of children in poverty to be served. The Bumpers-Cochran amendment uses a "relative income per school-aged child factor" which is calculated simply by dividing adjusted county income by the number of school-aged children. And we can all figure that out. It is not mysterious or convoluted as the committee bill's equity formula is.
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)
0.61904
VADER
-0.459
Negative
Moderation
Harassment
0.1097529079
OpenAI Moderation v1 (007)
Violence
0.0125759281
OpenAI Moderation v1 (007)
Violence > Graphic
0.0112234098
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040919585
OpenAI Moderation v1 (007)
Sexual > Minors
0.0037421498
OpenAI Moderation v1 (007)
Sexual
0.0032171189
OpenAI Moderation v1 (007)
Hate
0.0003265684
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002098024
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.71282E-5
OpenAI Moderation v1 (007)
Self-Harm
1.57296E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.2931E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
84.48
Magnitude:
50
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40
Gunning-Fog Score
16.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.2
Dale-Chall Readability Score
7
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
25
Thad Cochran
Ours is the only formula under consideration that fulfills the promise of the chapter 1 program by targeting our resources to high- poverty areas. The chapter 1 program is not a general-aid-to-schools program. It was and is intended to meet the needs of children in poverty and to improve their educational opportunities and give them the chance -- to give them the chance -- that children in wealthier schools have.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.57143
Very Positive
Harvard-IV (Absolute)
0.57143
Very Positive
Harvard-IV (Logit)
1.18958
VADER
0.813
Very Positive
Moderation
Harassment
0.8572685532
OpenAI Moderation v1 (007)
Violence
0.0032606291
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004909485
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002448386
OpenAI Moderation v1 (007)
Hate
0.0001428737
OpenAI Moderation v1 (007)
Sexual > Minors
3.64061E-5
OpenAI Moderation v1 (007)
Sexual
2.57029E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5696E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3716E-6
OpenAI Moderation v1 (007)
Self-Harm
6.889E-7
OpenAI Moderation v1 (007)
Hate > Threatening
5.37E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.115
Magnitude:
57
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
51.7
Gunning-Fog Score
15.7
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
16
Thad Cochran
Under our formula, 28 states do better in the first year than they do under the Pell-Kennedy formula and 3 stay the same. In the third year, when the hold harmless is reduced to 85 percent, 30 states do better than under the Committee formula. The ten states with highest concentrations of poverty receive increases; the ten states with the smallest percentages of poor children receive reductions.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.103
Leans Positive
Moderation
Harassment
0.1379512949
OpenAI Moderation v1 (007)
Violence
0.0055274457
OpenAI Moderation v1 (007)
Violence > Graphic
0.0029823785
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022910568
OpenAI Moderation v1 (007)
Sexual
0.0020946749
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020423435
OpenAI Moderation v1 (007)
Hate
0.0005852167
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001528789
OpenAI Moderation v1 (007)
Self-Harm
8.25284E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.22817E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.1538E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
55.961
Magnitude:
32
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
59.4
Gunning-Fog Score
13.8
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
16
Thad Cochran
I urge Senators to help us provide better opportunities for the most disadvantaged students in America and vote for this amendment.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
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
0.641
Very Positive
Moderation
Harassment
0.0240709865
OpenAI Moderation v1 (007)
Violence
0.0219734124
OpenAI Moderation v1 (007)
Violence > Graphic
0.010448727
OpenAI Moderation v1 (007)
Sexual > Minors
0.0024428497
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021911323
OpenAI Moderation v1 (007)
Sexual
0.0017641376
OpenAI Moderation v1 (007)
Hate
0.0008035631
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000186082
OpenAI Moderation v1 (007)
Self-Harm
0.0001125546
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.3253E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.8846E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
83.091
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
28.4
Gunning-Fog Score
14.1
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.8
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
The Presiding Officer
The PRESIDING OFFICER.
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
0.0279294502
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0249585399
OpenAI Moderation v1 (007)
Harassment
0.0172166096
OpenAI Moderation v1 (007)
Hate
0.0158829032
OpenAI Moderation v1 (007)
Violence > Graphic
0.0094114032
OpenAI Moderation v1 (007)
Hate > Threatening
0.0054553937
OpenAI Moderation v1 (007)
Sexual
0.0026120402
OpenAI Moderation v1 (007)
Self-Harm
0.0010137665
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005418084
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000106776
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.67704E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.255
Magnitude:
25
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
Mr. President, I yield the Senator from New Mexico 8 minutes.
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
0.095821562
OpenAI Moderation v1 (007)
Sexual
0.0855501159
OpenAI Moderation v1 (007)
Hate
0.0390625675
OpenAI Moderation v1 (007)
Harassment
0.0089894245
OpenAI Moderation v1 (007)
Violence > Graphic
0.0069283189
OpenAI Moderation v1 (007)
Sexual > Minors
0.0037090267
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021334554
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003789749
OpenAI Moderation v1 (007)
Self-Harm
9.35808E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0889E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1991E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.049
Magnitude:
113
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.7
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
2.2
Coleman-Liau Index
9.3
SMOG Index
9
Automated Readability Index
1.4
Dale-Chall Readability Score
7.5
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Dale Bumpers
Mr. President, how much time do I have remaining?
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
0.2582813613
OpenAI Moderation v1 (007)
Harassment
0.1637496869
OpenAI Moderation v1 (007)
Sexual
0.101299223
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0872290635
OpenAI Moderation v1 (007)
Hate
0.0465756166
OpenAI Moderation v1 (007)
Sexual > Minors
0.0353271171
OpenAI Moderation v1 (007)
Violence > Graphic
0.0322369189
OpenAI Moderation v1 (007)
Hate > Threatening
0.0096502707
OpenAI Moderation v1 (007)
Self-Harm
0.0025017142
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0020102205
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006154285
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
76.966
Magnitude:
126
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
6.2
Coleman-Liau Index
9
SMOG Index
7.3
Automated Readability Index
0.7
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.8411903866
OpenAI Moderation v1 (007)
Violence
0.0353841111
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0179341485
OpenAI Moderation v1 (007)
Hate
0.0109449182
OpenAI Moderation v1 (007)
Violence > Graphic
0.0097105221
OpenAI Moderation v1 (007)
Self-Harm
0.0012293425
OpenAI Moderation v1 (007)
Sexual
0.0004342904
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003608031
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001516017
OpenAI Moderation v1 (007)
Hate > Threatening
5.30947E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.30358E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
20.5
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
9.1
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
The Senator from New Mexico is recognized.
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
2.7314033359
OpenAI Moderation v1 (007)
Hate
0.1684481511
OpenAI Moderation v1 (007)
Violence
0.1228221459
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0239986432
OpenAI Moderation v1 (007)
Sexual > Minors
0.0114117611
OpenAI Moderation v1 (007)
Violence > Graphic
0.0113389433
OpenAI Moderation v1 (007)
Sexual
0.0049328519
OpenAI Moderation v1 (007)
Self-Harm
0.0018083887
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004295825
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002658189
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001450751
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
42.6
Gunning-Fog Score
8.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
5.6
Dale-Chall Readability Score
7.1
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Jeff Bingaman
Mr. President, I appreciate the time being yielded by the Senator from Arkansas. I congratulate the Senator from Arkansas and the Senator from Mississippi for the amendment, which I support. This amendment does seek to improve the formula which the committee has proposed for the distribution of title I funds from the Federal level to the States. It improves it by making the formula more related to poverty, and it eliminates two very highly questionable elements that are included in the committee's proposed formula; that is, the elements of effort and equity, which the Senator from Arkansas and the Senator from Mississippi both discussed.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
Loughran McDonald (Logit)
0.51083
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.789
Very Positive
Moderation
Violence
0.9691620246
OpenAI Moderation v1 (007)
Harassment
0.6915165577
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2969785593
OpenAI Moderation v1 (007)
Violence > Graphic
0.1254172646
OpenAI Moderation v1 (007)
Hate
0.0069204871
OpenAI Moderation v1 (007)
Sexual > Minors
0.0026369382
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.00137302
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006652848
OpenAI Moderation v1 (007)
Sexual
0.0005275778
OpenAI Moderation v1 (007)
Self-Harm
0.0002961229
OpenAI Moderation v1 (007)
Hate > Threatening
7.01748E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.2
Gunning-Fog Score
15.2
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
39
Sprache Difficult Word Count
34
Jeff Bingaman
Before describing the deficiencies in the committee's formula, I want to just refer to the charts that have been referred to by my colleagues and point out how this issue affects my own State of New Mexico.
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
0.077
Neutral
Moderation
Harassment
1.1431736872
OpenAI Moderation v1 (007)
Violence
0.6273911335
OpenAI Moderation v1 (007)
Harassment > Threatening
0.2231815597
OpenAI Moderation v1 (007)
Violence > Graphic
0.0078492587
OpenAI Moderation v1 (007)
Sexual > Minors
0.0065775326
OpenAI Moderation v1 (007)
Hate
0.0056157056
OpenAI Moderation v1 (007)
Sexual
0.0021656859
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003772478
OpenAI Moderation v1 (007)
Self-Harm
0.0002805623
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001382846
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001055849
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.142
Magnitude:
84
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.5
Gunning-Fog Score
19
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Jeff Bingaman
If you look at the chart that the Senator from Arkansas has put by his chair, you can see that the child poverty, the percent of children living in poverty in my State of New Mexico is among the highest of any States listed on that chart. There are two others higher, Mississippi and Louisiana. Mississippi is at 33 percent, Louisiana is at 30 percent, and then New Mexico is at 26 percent.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.60944
VADER
-0.765
Very Negative
Moderation
Harassment
1.1870407499
OpenAI Moderation v1 (007)
Violence
0.0799967034
OpenAI Moderation v1 (007)
Violence > Graphic
0.0224024508
OpenAI Moderation v1 (007)
Sexual
0.0095919488
OpenAI Moderation v1 (007)
Hate
0.0065768239
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064404856
OpenAI Moderation v1 (007)
Sexual > Minors
0.0049095655
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002864994
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001070464
OpenAI Moderation v1 (007)
Hate > Threatening
8.64656E-5
OpenAI Moderation v1 (007)
Self-Harm
4.55944E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.162
Magnitude:
170
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
59.3
Gunning-Fog Score
11.4
Coleman-Liau Index
8.7
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
13
Jeff Bingaman
The map which the Senator from Mississippi has put up I think makes the point very dramatically. I have a small copy of that here. He has here a map that shows in black the distressed counties, which are defined as "twice the U.S. poverty rate, low-income, or 3 years of unemployment." That is how they determine that. When you look at where the black on that map occurs, an awful lot of it occurs in the State of New Mexico. Clearly, the children in my State are significantly impacted by how this debate is resolved tonight.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
-0.55556
Very Negative
Harvard-IV (Absolute)
-0.55556
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.823
Very Negative
Moderation
Hate
0.017911059
OpenAI Moderation v1 (007)
Harassment
0.01586984
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064208558
OpenAI Moderation v1 (007)
Violence
0.0058740021
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013363348
OpenAI Moderation v1 (007)
Sexual
0.0009354701
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001927416
OpenAI Moderation v1 (007)
Hate > Threatening
2.0119E-5
OpenAI Moderation v1 (007)
Self-Harm
8.4195E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.3706E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.685E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
23.758
Magnitude:
9
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.3
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
7.4
Coleman-Liau Index
8.7
SMOG Index
9.3
Automated Readability Index
4.4
Dale-Chall Readability Score
3.2
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
24
Jeff Bingaman
I have been very disturbed by the formula which has been incorporated in the committee substitute -- disturbed because, at the Federal-to-State level, the formula, in my view, does not achieve the targeting which we are trying to accomplish: to poor students, especially those students who attend schools with high concentrations of poverty, which we have been saying throughout the more general debate are so important in this bill.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.09091
Neutral
Harvard-IV (Absolute)
-0.09091
Neutral
Harvard-IV (Logit)
-0.16705
VADER
-0.843
Very Negative
Moderation
Violence
0.03125738
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064479827
OpenAI Moderation v1 (007)
Harassment
0.0023345323
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005138887
OpenAI Moderation v1 (007)
Sexual
0.0002307381
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002109231
OpenAI Moderation v1 (007)
Hate
9.8522E-5
OpenAI Moderation v1 (007)
Self-Harm
6.4095E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7161E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.9508E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.994E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
84.988
Magnitude:
94
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
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
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
23
Jeff Bingaman
The formula does work for the goal of targeting within-State allocations. However, it does not do so in the portion of the formula that deals with the allocation from the Federal Government to the States, and that is what Senator Bumpers and Senator Cochran are trying to correct. The reason it does not do this is because, though it does include a weighting factor which looks to numbers and percentages of children in poverty, it also includes these other two factors which are unrelated to poverty or to the targeting to poverty. The two factors, again, are the effort factor and the equity factor.
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
-0.872
Very Negative
Moderation
Harassment
0.3688879544
OpenAI Moderation v1 (007)
Hate
0.0281251327
OpenAI Moderation v1 (007)
Violence > Graphic
0.0209149337
OpenAI Moderation v1 (007)
Violence
0.01800014
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0084161038
OpenAI Moderation v1 (007)
Sexual
0.0023732926
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.002212166
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00217786
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014733192
OpenAI Moderation v1 (007)
Self-Harm
0.0012506358
OpenAI Moderation v1 (007)
Hate > Threatening
1.4987E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.2
Gunning-Fog Score
15.5
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
25
Jeff Bingaman
The equity factor penalizes States which are not very equalized, as measured by the measurement set out in the formula as the coefficient of variation. This gets fairly arcane, to try to describe all the detail of this. But, suffice it to say that, clearly, there is a great weight put on this equity factor, which, as I said before, does not target poor children, which is the main purpose of the overall title I legislation that we are trying to pass here.
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
0.813
Very Positive
Moderation
Harassment
21.1993604898
OpenAI Moderation v1 (007)
Hate
0.0808219949
OpenAI Moderation v1 (007)
Violence
0.0432433153
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0323514774
OpenAI Moderation v1 (007)
Violence > Graphic
0.0081455066
OpenAI Moderation v1 (007)
Sexual
0.000199745
OpenAI Moderation v1 (007)
Hate > Threatening
0.000130453
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.6016E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.94882E-5
OpenAI Moderation v1 (007)
Self-Harm
1.60855E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.7866E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
88.775
Magnitude:
156
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
53.4
Gunning-Fog Score
15.9
Coleman-Liau Index
10
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
26
Jeff Bingaman
We have very limited Federal resources to help our poor children, and, clearly, to direct those resources to States which may or may not have a need for them solely on the basis of an equalization factor does not make sense. We need to target that funding on the basis of income in those States and on the basis of their ability to help their children.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.45455
Positive
Harvard-IV (Absolute)
0.45455
Positive
Harvard-IV (Logit)
0.8873
VADER
0.629
Very Positive
Moderation
Harassment
14.5494177938
OpenAI Moderation v1 (007)
Hate
0.1715578721
OpenAI Moderation v1 (007)
Violence > Graphic
0.0150369684
OpenAI Moderation v1 (007)
Violence
0.0135806549
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061742146
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017259466
OpenAI Moderation v1 (007)
Sexual
0.0006253454
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001538672
OpenAI Moderation v1 (007)
Self-Harm
3.87243E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.2602E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.8287E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
21.644
Magnitude:
28
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
51.6
Gunning-Fog Score
16.2
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15
Jeff Bingaman
On the issue about resources, I had a group of principals in my office today from my home State. They repeatedly expressed concern about the fact that less than 2 percent of our Federal budget goes to education. Clearly, when we have a very, very small amount of the Federal budget going to education, we need to do everything in our power to see that those funds go where they are most needed.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.25
Slightly Positive
Harvard-IV (Absolute)
0.25
Slightly Positive
Harvard-IV (Logit)
0.45199
VADER
0.402
Positive
Moderation
Harassment
2.1076181903
OpenAI Moderation v1 (007)
Hate
0.0383127772
OpenAI Moderation v1 (007)
Violence
0.0162653392
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0088052679
OpenAI Moderation v1 (007)
Sexual
0.0054816614
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043345528
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005643992
OpenAI Moderation v1 (007)
Self-Harm
0.0002216944
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.69983E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.662E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.5235E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.116
Magnitude:
48
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
58.1
Gunning-Fog Score
13
Coleman-Liau Index
9.5
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
19
Jeff Bingaman
The other factor used by the committee, and eliminated by the Bumpers-Cochran amendment, is the effort factor. That factor simply, again, does not belong in a title I formula because it invariably results in penalties for poor States, and this is, after all, intended to help poor States. If we want to measure effort, why do we not measure a State's total resources and compare it to a State's total expenditures on education? Use that measure of effort, and my State of New Mexico comes out in the top 10 States. Or look at how much a State taxes itself compared to its own tax base. If you use that measure, Mississippi gets a very substantial boost.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.52941
Very Positive
Harvard-IV (Absolute)
0.52941
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.39
Somewhat Positive
Moderation
Harassment
0.0433769776
OpenAI Moderation v1 (007)
Violence
0.0149437474
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0063106614
OpenAI Moderation v1 (007)
Sexual > Minors
0.0037130223
OpenAI Moderation v1 (007)
Sexual
0.0015447193
OpenAI Moderation v1 (007)
Hate
0.0004920993
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002842054
OpenAI Moderation v1 (007)
Hate > Threatening
5.51326E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.94006E-5
OpenAI Moderation v1 (007)
Self-Harm
1.74971E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.41795E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
37.259
Magnitude:
28
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
59.3
Gunning-Fog Score
11.6
Coleman-Liau Index
9.9
SMOG Index
11.7
Automated Readability Index
9
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
30
Sprache Difficult Word Count
32
Jeff Bingaman
But if you use the committee's measure, which compares per capita income to per pupil spending, then every single one of the States with the highest child poverty rates in the Nation, with the exception of West Virginia -- all of those States do worse. Why is this so? States with low per capita incomes can simply not afford to dedicate as high a proportion of their spending to education as richer States do. They have to take care of sewers and roads and public safety as well as education. They just do not have as much to spend. Furthermore, their citizens have lower incomes and are unable to be taxed at the level that States with wealthier citizens are able to tax.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
0.573
Very Positive
Moderation
Violence
0.0751877145
OpenAI Moderation v1 (007)
Sexual
0.0270724762
OpenAI Moderation v1 (007)
Violence > Graphic
0.0188435617
OpenAI Moderation v1 (007)
Harassment
0.0082194842
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0051387982
OpenAI Moderation v1 (007)
Hate
0.0020640482
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015012904
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003440185
OpenAI Moderation v1 (007)
Self-Harm
0.0001428271
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.77171E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1055E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
40.64
Magnitude:
72
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
28.574
Magnitude:
72
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
62.1
Gunning-Fog Score
13.4
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
4.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
35
Jeff Bingaman
I would be very pleased to see this amendment adopted and see the emphasis on effort and equity eliminated from the formula.
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)
0.51083
VADER
0.488
Positive
Moderation
Violence
0.0355115655
OpenAI Moderation v1 (007)
Sexual
0.0090691807
OpenAI Moderation v1 (007)
Harassment
0.0023156186
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015895668
OpenAI Moderation v1 (007)
Hate
0.0003906125
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002667931
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002416418
OpenAI Moderation v1 (007)
Self-Harm
5.30034E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.4229E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.8531E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.666E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
39.901
Magnitude:
64
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
31.859
Magnitude:
64
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.7
Gunning-Fog Score
19
Coleman-Liau Index
11.5
SMOG Index
12
Automated Readability Index
11.4
Dale-Chall Readability Score
6.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Jeff Bingaman
I am also happy to see the income factor brought into this formula, as the Bumpers-Cochran amendment would. That factor brings into the formula a recognition that it is low-income areas that have the most difficulty in supplying remedial services to their poor children. By and large, these are the same areas that have the most profound problems -- the most profound problems -- of dropouts and teen pregnancies and low-birthweight babies and poor academic achievement. It is clearly true that big cities with high per capital incomes, such as New York and Boston, have their problems as well. But the fact is that rural America -- the States with the highest child poverty rates are in rural America, and generally they do not have the resources.
Sentiment
Loughran McDonald (Relative)
-0.14286
Leans Negative
Loughran McDonald (Absolute)
-0.14286
Leans Negative
Loughran McDonald (Logit)
-0.25131
Harvard-IV (Relative)
0.14286
Leans Positive
Harvard-IV (Absolute)
0.14286
Leans Positive
Harvard-IV (Logit)
0.26826
VADER
-0.86
Very Negative
Moderation
Violence
0.0513242965
OpenAI Moderation v1 (007)
Violence > Graphic
0.0324986584
OpenAI Moderation v1 (007)
Harassment
0.0040684412
OpenAI Moderation v1 (007)
Hate
0.0005693984
OpenAI Moderation v1 (007)
Sexual
0.0004538636
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002118655
OpenAI Moderation v1 (007)
Self-Harm
0.0001680874
OpenAI Moderation v1 (007)
Sexual > Minors
2.48586E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.17252E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.202E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.89E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
22.225
Magnitude:
109
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
50.5
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
32
Jeff Bingaman
A recent report by the Department of Education on the condition of education in rural schools states that rural schools have limited fiscal resources to address rising education costs and that increases in poverty have disproportionately impacted rural children.
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
-0.637
Very Negative
Moderation
Harassment
0.6447870284
OpenAI Moderation v1 (007)
Violence
0.0131979788
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070416179
OpenAI Moderation v1 (007)
Hate
0.0055927147
OpenAI Moderation v1 (007)
Sexual > Minors
0.005435116
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020584401
OpenAI Moderation v1 (007)
Sexual
0.0015359703
OpenAI Moderation v1 (007)
Self-Harm
4.4601E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.3068E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.46698E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.31672E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
93.564
Magnitude:
41
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
0.2
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
17
Sprache Difficult Word Count
17
Jeff Bingaman
Thus, the formula which looks to income, and not to things like effort and equity, is much more logical as a way of providing funds for poverty.
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
-0.578
Very Negative
Moderation
Harassment
1.0038631037
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1033689943
OpenAI Moderation v1 (007)
Violence
0.018199574
OpenAI Moderation v1 (007)
Hate
0.0066209679
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032238233
OpenAI Moderation v1 (007)
Sexual
0.0032038773
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003258693
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002424539
OpenAI Moderation v1 (007)
Self-Harm
0.00020215
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001566625
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.64688E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
54.1
Gunning-Fog Score
18.2
Coleman-Liau Index
9.1
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
9
Jeff Bingaman
I understand the interest of the committee in school equity. It has been a long time interest of mine. Last year, I proposed a bill to establish a Commission on School Financing to study this issue and how more equitable school financing could be promoted not only within States but across the country. Although my proposed legislation did not find support from the committee at that time, the committee did hold hearings on school finance equity. We heard from several withesses -- all of whom were quite eloquent with respect to the vast disparities in school funding and the resulting disparities in educational opportunity for students.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
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
0.909
Very Positive
Moderation
Harassment
0.1688724617
OpenAI Moderation v1 (007)
Hate
0.0053615069
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00257143
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018893499
OpenAI Moderation v1 (007)
Sexual
0.0014851548
OpenAI Moderation v1 (007)
Violence
0.0005657772
OpenAI Moderation v1 (007)
Self-Harm
0.00040762
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003649938
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001450728
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.55557E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.54837E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.3
Gunning-Fog Score
16.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
32
Jeff Bingaman
However, those witnesses could not describe for us a single measure of school equity -- it was clear from that hearing and from the research I have done that different conditions in different areas could require different levels of spending. One dollar spent in a homogeneous suburb would not equal $1 spent on a remote school serving children from an Indian reservation or $1 on children in the inner city.
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
0.382
Somewhat Positive
Moderation
Harassment
0.2755722962
OpenAI Moderation v1 (007)
Violence
0.0103586572
OpenAI Moderation v1 (007)
Hate
0.0079606107
OpenAI Moderation v1 (007)
Violence > Graphic
0.006715081
OpenAI Moderation v1 (007)
Sexual > Minors
0.0053332773
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041683943
OpenAI Moderation v1 (007)
Sexual
0.0011859776
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001957735
OpenAI Moderation v1 (007)
Self-Harm
0.000181347
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001597564
OpenAI Moderation v1 (007)
Hate > Threatening
2.94427E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40.6
Gunning-Fog Score
17.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
23
Jeff Bingaman
Recognizing the complexity of this issue, I have asked the General Accounting Office to study the issue of school finance equity, how it can be measured and achieved, and methods of encouraging it at the State and local level. That work will take many months and will encompass many tasks. It is a complicated issue.
Sentiment
Loughran McDonald (Relative)
0.33333
Somewhat Positive
Loughran McDonald (Absolute)
0.33333
Somewhat Positive
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
0.527
Very Positive
Moderation
Harassment
0.0138068863
OpenAI Moderation v1 (007)
Violence > Graphic
0.0077991645
OpenAI Moderation v1 (007)
Violence
0.0072413954
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045549164
OpenAI Moderation v1 (007)
Sexual
0.0035767549
OpenAI Moderation v1 (007)
Sexual > Minors
0.002922975
OpenAI Moderation v1 (007)
Hate
0.0007117348
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.56954E-5
OpenAI Moderation v1 (007)
Self-Harm
1.45603E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.2324E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.9851E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
95.398
Magnitude:
78
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
51.3
Gunning-Fog Score
11
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
9.7
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
20
Jeff Bingaman
These reasons, plus problems with the data collection process itself -- that is, that data are often stale and reported inconsistently within States -- make this COV disparity test a rough and often misleading measurement of a State's equalization.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.11111
Leans Negative
Harvard-IV (Absolute)
-0.11111
Leans Negative
Harvard-IV (Logit)
-0.20067
VADER
-0.66
Very Negative
Moderation
Violence
0.0370142487
OpenAI Moderation v1 (007)
Harassment
0.0137005773
OpenAI Moderation v1 (007)
Sexual
0.0113688795
OpenAI Moderation v1 (007)
Violence > Graphic
0.004456448
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005096499
OpenAI Moderation v1 (007)
Hate
0.0003577312
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002626624
OpenAI Moderation v1 (007)
Self-Harm
2.97882E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.18288E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.9709E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.307E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
81.444
Magnitude:
50
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
20.7
Gunning-Fog Score
19
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
16
Sprache Difficult Word Count
19
Jeff Bingaman
Yet, based on this very rough measure of equity, the committee moves millions of dollars away from States which may or may not be meeting pupil's needs in an equitable fashion to the handful of States which have successfully equalized -- by reason of either a rigorous equalization scheme, or by virtue of small size or homogeneity as CRS notes is the case with Rhode Island and Delaware, or by virtue of having predominantly broad-based, county-level LEA's which is noted by CRS with respect to the relatively low equalization coefficient of North and South Carolina, Florida, and West Virginia. States that have large county wide LEA's will encompass disparity within the LEA and the differences between LEA's will be considerably less -- thus the COV which is the basis for the equity factor, will be considerably lessened.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.52381
Very Positive
Harvard-IV (Absolute)
0.52381
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.827
Very Positive
Moderation
Sexual
0.0274178194
OpenAI Moderation v1 (007)
Violence
0.0262252317
OpenAI Moderation v1 (007)
Violence > Graphic
0.0220563859
OpenAI Moderation v1 (007)
Harassment
0.0107396976
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031866366
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007901806
OpenAI Moderation v1 (007)
Hate
0.0003932299
OpenAI Moderation v1 (007)
Self-Harm
5.30629E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.99996E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.35926E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.113E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
68.244
Magnitude:
124
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
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
43
Sprache Difficult Word Count
51
Jeff Bingaman
To reiterate, we have very limited Federal resources to help our poor children -- why should we direct those resources to States which may or may not have a need for them -- solely on the basis of an equalization factor that may be more the result of geography or LEA size than deliberate equalization efforts?
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
-0.374
Somewhat Negative
Moderation
Harassment
0.0885335729
OpenAI Moderation v1 (007)
Violence
0.0040911858
OpenAI Moderation v1 (007)
Hate
0.0034147626
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032521421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026253709
OpenAI Moderation v1 (007)
Sexual
0.0006404705
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005927252
OpenAI Moderation v1 (007)
Self-Harm
0.0003648821
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.94435E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.39853E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.9737E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.54
Magnitude:
138
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
17.3
Gunning-Fog Score
19
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15
Jeff Bingaman
For these and a host of other reasons the equity factor as applied by the committee is simply not the way we should go if we want to do something about school equity. And I most certainly do.
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
0.452
Positive
Moderation
Harassment
0.075266714
OpenAI Moderation v1 (007)
Violence
0.007258472
OpenAI Moderation v1 (007)
Violence > Graphic
0.002318312
OpenAI Moderation v1 (007)
Hate
0.0018690349
OpenAI Moderation v1 (007)
Sexual
0.0013014399
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005204035
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004287722
OpenAI Moderation v1 (007)
Self-Harm
0.0001257593
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.96706E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.3754E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.0709E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
62.9
Gunning-Fog Score
12.9
Coleman-Liau Index
7.7
SMOG Index
12
Automated Readability Index
6.9
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Jeff Bingaman
The other factor used by the committee and eliminated by the Bumpers- Cochran formula is the "effort" factor. That factor simply does not belong in a title 1 formula because it invariably results in penalties for poor States and this is, after all, a poverty program.
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
-0.751
Very Negative
Moderation
Harassment
22.125595808
OpenAI Moderation v1 (007)
Hate
0.1743806875
OpenAI Moderation v1 (007)
Violence
0.0560623885
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0270960765
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070060385
OpenAI Moderation v1 (007)
Self-Harm
0.0053319749
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013831553
OpenAI Moderation v1 (007)
Sexual
0.0005787287
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004511351
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003101456
OpenAI Moderation v1 (007)
Hate > Threatening
9.53538E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
40
Gunning-Fog Score
15.3
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
16
Jeff Bingaman
If we want to measure effort -- why don't we measure a States total resources and compare it to a State's total expenditure on K-12 education? Use that measure of effort and New Mexico comes out in the top 10 States. Or look at how much a State taxes itself compared to its tax base. Use that and Mississippi gets a big boost. But use the committee's measure -- which compares per capita income to per pupil spending and every single one of the States with the highest child poverty rates in the Nation -- all save West Virginia -- does worse. Look at Feinstein formula -- those States all improved considerably when this element removed. Why is this so? States with low per capita incomes can simply not afford to dedicate as high a proportion of their spending to education as richer States -- they have to take care of sewers and roads and public safety along with education -- they just don't have as much to spend. Furthermore, their citizens having lower income, they are unable to tax at the levels that States with wealthier citizens are able to tax.
Sentiment
Loughran McDonald (Relative)
0.2
Leans Positive
Loughran McDonald (Absolute)
0.2
Leans Positive
Loughran McDonald (Logit)
0.33647
Harvard-IV (Relative)
0.46154
Positive
Harvard-IV (Absolute)
0.46154
Positive
Harvard-IV (Logit)
0.95551
VADER
0.92
Very Positive
Moderation
Harassment
0.0752447755
OpenAI Moderation v1 (007)
Violence
0.0239520086
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023471137
OpenAI Moderation v1 (007)
Hate
0.0021135105
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018046863
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015026367
OpenAI Moderation v1 (007)
Sexual
0.0006635671
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002810896
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000194166
OpenAI Moderation v1 (007)
Self-Harm
0.0001113978
OpenAI Moderation v1 (007)
Hate > Threatening
4.2474E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
12.6
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
4.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
43
Sprache Difficult Word Count
52
Jeff Bingaman
So I am very happy to see effort and equity go. And I am happy to see the income factor brought in. That factor brings into this formula a recognition that it is low-income areas that have the most difficulty in supplying remedial services to their poor children. By and large those are the areas that have the most profound problems of dropouts, teen pregnancy, low birth weight babies, and poor academic achievement.
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
-0.611
Very Negative
Moderation
Harassment
0.0130394998
OpenAI Moderation v1 (007)
Violence
0.012379812
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009859425
OpenAI Moderation v1 (007)
Sexual
0.0007591425
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006764204
OpenAI Moderation v1 (007)
Hate
0.0003700214
OpenAI Moderation v1 (007)
Sexual > Minors
6.51967E-5
OpenAI Moderation v1 (007)
Self-Harm
3.20637E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8762E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.4741E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.705E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
89.741
Magnitude:
54
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
56.6
Gunning-Fog Score
12.3
Coleman-Liau Index
11.1
SMOG Index
11.8
Automated Readability Index
9.3
Dale-Chall Readability Score
5
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19
Jeff Bingaman
It is true that big cities with high per-capita incomes such as New York and Boston have these problems too -- but those cities frequently have more resources to try to deal with those problems than do the poor areas. The fact is that rural America -- and States with the highest child poverty rates are rural States -- generally does not have those resources. The recent report by the U.S. Department of Education on the condition of education in rural schools states that rural schools have limited fiscal resources to address rising education costs and that increases in poverty have disproportionately impacted rural children. Thus a formula which looks to income and not to things like effort and equity is much more logical approach to providing funds under a poverty program. And that is what this is supposed to be -- a poverty program -- although it is difficult to tell that when the committee propounds a formula which gives a bigger percentage increase to title I funding to Connecticut with 10.2 percent child poverty rate, than to Alabama with a 23.3 percent rate.
Sentiment
Loughran McDonald (Relative)
-0.66667
Very Negative
Loughran McDonald (Absolute)
-0.66667
Very Negative
Loughran McDonald (Logit)
-1.29928
Harvard-IV (Relative)
0.04
Neutral
Harvard-IV (Absolute)
0.04
Neutral
Harvard-IV (Logit)
0.07696
VADER
-0.988
Very Negative
Moderation
Violence
0.0377545774
OpenAI Moderation v1 (007)
Harassment
0.0104117484
OpenAI Moderation v1 (007)
Sexual
0.0094688439
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0077378703
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027315291
OpenAI Moderation v1 (007)
Sexual > Minors
0.0014570939
OpenAI Moderation v1 (007)
Hate
0.0007739543
OpenAI Moderation v1 (007)
Self-Harm
0.0001760051
OpenAI Moderation v1 (007)
Hate > Threatening
0.000130454
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.38967E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.631E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
60.884
Magnitude:
100
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.6
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
59
Sprache Difficult Word Count
50
Jeff Bingaman
We have serious problems in this country -- our educational system is failing to help our most vulnerable citizens -- poor children. If we seriously intend to help those children we have to recognize that our precious Federal resources have to go where the need is greatest -- and that might not be our own particular State. In the committee I proposed and voted for a formula which would have provided New Mexico with less money than the committee formula -- but I did it because I thought it was the right thing to do -- because my formula got more money to more poor kids. The Bumpers-Cochran formula shifts title I resources away from States with high income counties and lower concentrations of child poverty and to the poorer States. We all know of hideously poor areas in our States and all want as much help for those areas as we can get -- but we cannot ignore the kind of evidence of need which Senators Bumpers and Cochran have brought to us today.
Sentiment
Loughran McDonald (Relative)
-0.71429
Very Negative
Loughran McDonald (Absolute)
-0.71429
Very Negative
Loughran McDonald (Logit)
-1.46634
Harvard-IV (Relative)
0.36364
Somewhat Positive
Harvard-IV (Absolute)
0.36364
Somewhat Positive
Harvard-IV (Logit)
0.72594
VADER
-0.933
Very Negative
Moderation
Violence
0.0274987426
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0244685216
OpenAI Moderation v1 (007)
Harassment
0.0170085856
OpenAI Moderation v1 (007)
Hate
0.0156137874
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091932328
OpenAI Moderation v1 (007)
Hate > Threatening
0.0051995383
OpenAI Moderation v1 (007)
Sexual
0.0025229774
OpenAI Moderation v1 (007)
Self-Harm
0.0009765268
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005264189
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001019564
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.16431E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
54.245
Magnitude:
276
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Topic:
Macroeconomics
Score:
29.757
Magnitude:
276
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.4
Gunning-Fog Score
18.5
Coleman-Liau Index
10.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
41
Sprache Difficult Word Count
39
Jeff Bingaman
In my State over 1 in 4 children lives in poverty; in Senator Cochran's almost 1 in 3 children is poor. It is time to finally send our money where the children living in concentrations of poverty live and to send that money in amounts sufficient to make a difference in their educations.
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
-0.866
Very Negative
Moderation
Violence
0.2185749821
OpenAI Moderation v1 (007)
Harassment
0.0971398433
OpenAI Moderation v1 (007)
Hate
0.0909777766
OpenAI Moderation v1 (007)
Hate > Threatening
0.0687569031
OpenAI Moderation v1 (007)
Self-Harm
0.0462207128
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0362646388
OpenAI Moderation v1 (007)
Sexual
0.0291782606
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0217193519
OpenAI Moderation v1 (007)
Violence > Graphic
0.0180579169
OpenAI Moderation v1 (007)
Sexual > Minors
0.011769632
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0060270413
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
65.075
Magnitude:
71
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
57
Gunning-Fog Score
15.9
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.4
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
12
Jeff Bingaman
I urge my colleagues to support this amendment.
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
0.402
Positive
Moderation
Violence
0.0393990951
OpenAI Moderation v1 (007)
Harassment
0.0209203994
OpenAI Moderation v1 (007)
Sexual
0.0120148281
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040297007
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007243225
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004240728
OpenAI Moderation v1 (007)
Hate
0.0003095148
OpenAI Moderation v1 (007)
Self-Harm
4.30932E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.9721E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.4075E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.041E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Housing
Score:
60.461
Magnitude:
123
Code:
14
Url:
https://fsc.al/cap-mc#14
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
50.7
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
5.5
Dale-Chall Readability Score
8.3
Sprache Readability Score
2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Jeff Bingaman
Mr. KENNEDY addressed the Chair.
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
0.0296585582
OpenAI Moderation v1 (007)
Violence
0.0255461491
OpenAI Moderation v1 (007)
Sexual
0.0094727911
OpenAI Moderation v1 (007)
Violence > Graphic
0.0059282327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014194489
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013950262
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004355252
OpenAI Moderation v1 (007)
Hate
0.0004027901
OpenAI Moderation v1 (007)
Self-Harm
0.0002127684
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.9368E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.2605E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
4.3
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
2.1966814995
OpenAI Moderation v1 (007)
Hate
0.1534401439
OpenAI Moderation v1 (007)
Violence
0.0312369142
OpenAI Moderation v1 (007)
Sexual
0.0065512853
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0041832918
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014555425
OpenAI Moderation v1 (007)
Self-Harm
0.0006318544
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003910672
OpenAI Moderation v1 (007)
Hate > Threatening
6.79869E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.13208E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.48019E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.9
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.3
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
Mr. President, I yield myself 3 minutes.
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
0.1243405277
OpenAI Moderation v1 (007)
Harassment
0.0448728795
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0354183721
OpenAI Moderation v1 (007)
Hate
0.0319151557
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0248291879
OpenAI Moderation v1 (007)
Violence > Graphic
0.0211112798
OpenAI Moderation v1 (007)
Self-Harm
0.0158184121
OpenAI Moderation v1 (007)
Hate > Threatening
0.0124722923
OpenAI Moderation v1 (007)
Sexual
0.0121288918
OpenAI Moderation v1 (007)
Sexual > Minors
0.0118053656
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.003757677
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.9
Flesch-Kincaid Ease
94.5
Gunning-Fog Score
1.4
Coleman-Liau Index
9.4
SMOG Index
3.3
Automated Readability Index
0.5
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
As we mentioned before, in this formula we have tried to consider a variety of factors. But this is not a redistribution of income program. That has never been the purpose of this program. The purpose of this program is to try to positively impact the lives of children who are particularly disadvantaged. That has been the spirit of the program, and that is what we have tried to do in our formula.
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
0.282
Slightly Positive
Moderation
Violence
0.0505971897
OpenAI Moderation v1 (007)
Harassment
0.0205205797
OpenAI Moderation v1 (007)
Sexual
0.0112180489
OpenAI Moderation v1 (007)
Violence > Graphic
0.0111169589
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012019572
OpenAI Moderation v1 (007)
Hate
0.0006188213
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005174476
OpenAI Moderation v1 (007)
Self-Harm
0.0001363088
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.94771E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.18632E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.815E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.9
Flesch-Kincaid Ease
64.5
Gunning-Fog Score
10.2
Coleman-Liau Index
10
SMOG Index
10.5
Automated Readability Index
6.5
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
16
Ted Kennedy
In fact, we have considered a variety of factors: the weighted formula factor to aid areas with high concentrations and high numbers of students in poverty; the cost factor; the State effort factor; and the equity factor.
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
-0.511
Very Negative
Moderation
Harassment
0.0312232471
OpenAI Moderation v1 (007)
Violence > Graphic
0.018291692
OpenAI Moderation v1 (007)
Violence
0.0182258475
OpenAI Moderation v1 (007)
Sexual
0.0051949195
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018845596
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012726402
OpenAI Moderation v1 (007)
Hate
0.0007677058
OpenAI Moderation v1 (007)
Self-Harm
0.0001056345
OpenAI Moderation v1 (007)
Hate > Threatening
3.65996E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.64163E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.117E-7
OpenAI Moderation v1 (007)
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
8.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14
Ted Kennedy
The fact of the matter is, New Mexico receives a 14 percent boost in our formula over current law. New Mexico also receives $8.3 million under title I of the Bureau of Indian Affairs set- aside. That also represents money for poor children. In effect, New Mexico's poor children are counted once under Title I, and if they are children of Indians, they are counted again. They do not do that in other States, but they do in New Mexico. And we still increased their funding 14 percent in our formula. That is not even to mention the $34.5 million that New Mexico receives in impact aid. We did not say, "Well, because they get the impact aid, we will give them less Title I money." While people are getting so worked up about the inequities of our formula, we might pause to ask what the logic and rationale of counting poor children twice in New Mexico is. Understand, I am not opposed to how it works. I think the challenges for Native Americans are some of the most difficult, compelling challenges children anywhere face. However, when we are coming out and talking about justifying all of our positions on this, I find it somewhat difficult to agree with my colleague from New Mexico. I certainly agree that impact aid is important; we receive about $5 million in my State too, and we are glad to get every dollar of it. And I think we should be careful to keep the whole picture in mind during this debate: Title I, impact aid, and other programs as well.
Sentiment
Loughran McDonald (Relative)
-0.4
Negative
Loughran McDonald (Absolute)
-0.4
Negative
Loughran McDonald (Logit)
-0.76214
Harvard-IV (Relative)
0.12
Leans Positive
Harvard-IV (Absolute)
0.12
Leans Positive
Harvard-IV (Logit)
0.2318
VADER
0.907
Very Positive
Moderation
Violence
0.4534568638
OpenAI Moderation v1 (007)
Harassment
0.0789101992
OpenAI Moderation v1 (007)
Sexual
0.018656539
OpenAI Moderation v1 (007)
Violence > Graphic
0.0104975836
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0061161641
OpenAI Moderation v1 (007)
Hate
0.0026286178
OpenAI Moderation v1 (007)
Self-Harm
0.0015583169
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004211183
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001917885
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.75221E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.55136E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
62.6
Gunning-Fog Score
11.4
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
8.3
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
51
Sprache Difficult Word Count
52
Ted Kennedy
I think, Mr. President, that the effect of this amendment would be to significantly reduce the kind of assistance to children delivered in major poverty areas. Under this amendment, California will receive $50 less for every poor child. That figure reaches $100 per pupil in New York, and over $100 per poor child in the State of Florida. Puerto Rico loses $12 million under this formula and has a child poverty rate of 66 percent, twice the poverty rate of any State in the Union.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.14286
Leans Negative
Harvard-IV (Absolute)
-0.14286
Leans Negative
Harvard-IV (Logit)
-0.25131
VADER
-0.951
Very Negative
Moderation
Harassment
0.0865575101
OpenAI Moderation v1 (007)
Violence
0.0418424373
OpenAI Moderation v1 (007)
Sexual > Minors
0.0133112611
OpenAI Moderation v1 (007)
Sexual
0.0118054893
OpenAI Moderation v1 (007)
Hate
0.0052633804
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043598036
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0015092935
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014257251
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0006161073
OpenAI Moderation v1 (007)
Self-Harm
0.0001620257
OpenAI Moderation v1 (007)
Hate > Threatening
1.27033E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
61.2
Gunning-Fog Score
12
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
7.6
Dale-Chall Readability Score
5.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
28
Ted Kennedy
We may not have it perfectly right, but I daresay, even the Washington Post wrote approvingly that:
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)
1.09861
VADER
-0.12
Leans Negative
Moderation
Harassment
1.7821708694
OpenAI Moderation v1 (007)
Violence
0.0141558805
OpenAI Moderation v1 (007)
Hate
0.0087050328
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031427644
OpenAI Moderation v1 (007)
Sexual > Minors
0.0025919904
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009722765
OpenAI Moderation v1 (007)
Sexual
0.0004964368
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.57172E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.78716E-5
OpenAI Moderation v1 (007)
Self-Harm
2.32279E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.7862E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
55.2
Gunning-Fog Score
13.9
Coleman-Liau Index
11.9
SMOG Index
12
Automated Readability Index
9.2
Dale-Chall Readability Score
4.6
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Ted Kennedy
As I said, it is difficult to argue with the concept of getting additional funds into areas where there are poor children. I made that argument before, and I am not going to state it again.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.19722
VADER
-0.859
Very Negative
Moderation
Harassment
2.2677384317
OpenAI Moderation v1 (007)
Violence > Graphic
0.0307247916
OpenAI Moderation v1 (007)
Hate
0.0259211374
OpenAI Moderation v1 (007)
Violence
0.0258879183
OpenAI Moderation v1 (007)
Sexual
0.0070935406
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013901866
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008647483
OpenAI Moderation v1 (007)
Self-Harm
0.0006413995
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003145218
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001169697
OpenAI Moderation v1 (007)
Hate > Threatening
8.1794E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
68.7
Gunning-Fog Score
10.5
Coleman-Liau Index
8.7
SMOG Index
10.3
Automated Readability Index
7.2
Dale-Chall Readability Score
4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Ted Kennedy
If I could yield to the Senator from Illinois and then the Senator from Iowa. How much time remains, Mr. President?
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
62.7162456512
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0451006141
OpenAI Moderation v1 (007)
Violence
0.0208187776
OpenAI Moderation v1 (007)
Hate
0.0208073849
OpenAI Moderation v1 (007)
Sexual > Minors
0.0111322559
OpenAI Moderation v1 (007)
Sexual
0.0006705219
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003723034
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.23522E-5
OpenAI Moderation v1 (007)
Self-Harm
1.7053E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.1699E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.387E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
92.87
Magnitude:
112
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
74.8
Gunning-Fog Score
2.8
Coleman-Liau Index
9.7
SMOG Index
9.9
Automated Readability Index
2.5
Dale-Chall Readability Score
5.6
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
The Presiding Officer
The PRESIDING OFFICER.
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
0.1397887943
OpenAI Moderation v1 (007)
Violence
0.0793108775
OpenAI Moderation v1 (007)
Violence > Graphic
0.0073225019
OpenAI Moderation v1 (007)
Sexual > Minors
0.004770307
OpenAI Moderation v1 (007)
Hate
0.0047306497
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036815607
OpenAI Moderation v1 (007)
Sexual
0.0022519553
OpenAI Moderation v1 (007)
Hate > Threatening
9.39241E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.49592E-5
OpenAI Moderation v1 (007)
Self-Harm
1.92533E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.13481E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
95.393
Magnitude:
44
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
1.8
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
4.4
Dale-Chall Readability Score
2
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
Ted Kennedy
I yield 10 minutes to the Senator from Illinois, and 10 minutes to the Senator from Iowa.
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
87.7967834473
OpenAI Moderation v1 (007)
Harassment > Threatening
0.3891314846
OpenAI Moderation v1 (007)
Hate
0.1143937698
OpenAI Moderation v1 (007)
Violence
0.026593142
OpenAI Moderation v1 (007)
Sexual > Minors
0.004122085
OpenAI Moderation v1 (007)
Sexual
0.0021662643
OpenAI Moderation v1 (007)
Violence > Graphic
0.00145602
OpenAI Moderation v1 (007)
Self-Harm
0.0002425508
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001571942
OpenAI Moderation v1 (007)
Hate > Threatening
5.31882E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.38007E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.624
Magnitude:
66
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
65.2
Gunning-Fog Score
6.8
Coleman-Liau Index
7.4
SMOG Index
12
Automated Readability Index
5.6
Dale-Chall Readability Score
5.5
Sprache Readability Score
3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
4
The Presiding Officer
The PRESIDING OFFICER.
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
0.7035753224
OpenAI Moderation v1 (007)
Harassment
0.2359756036
OpenAI Moderation v1 (007)
Harassment > Threatening
0.099405495
OpenAI Moderation v1 (007)
Violence > Graphic
0.0458770926
OpenAI Moderation v1 (007)
Sexual
0.0347202615
OpenAI Moderation v1 (007)
Hate
0.013957097
OpenAI Moderation v1 (007)
Sexual > Minors
0.0119407479
OpenAI Moderation v1 (007)
Hate > Threatening
0.0033491007
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0027222479
OpenAI Moderation v1 (007)
Self-Harm
0.0015107521
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003714097
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.92
Magnitude:
66
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
45.6
Gunning-Fog Score
5.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
6.3
Dale-Chall Readability Score
5.6
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
5
Paul Simon
Mr. President, I know it is easy when you are on this floor and you put a formula together and you get the numbers, to get 50 votes. But I have from time to time voted for formulas where the State of Illinois was not a beneficiary because I believed it benefited the Nation. And that is the kind of situation we are in right now.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.61904
VADER
0.315
Somewhat Positive
Moderation
Violence
0.0521080685
OpenAI Moderation v1 (007)
Violence > Graphic
0.0224136034
OpenAI Moderation v1 (007)
Harassment
0.0071752627
OpenAI Moderation v1 (007)
Sexual
0.0052757772
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016882052
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007981108
OpenAI Moderation v1 (007)
Hate
0.0001349114
OpenAI Moderation v1 (007)
Hate > Threatening
5.58636E-5
OpenAI Moderation v1 (007)
Self-Harm
2.47248E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0207E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.333E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Immigration
Score:
94.508
Magnitude:
84
Code:
9
Url:
https://fsc.al/cap-mc#9
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
73.4
Gunning-Fog Score
10.2
Coleman-Liau Index
7
SMOG Index
10.8
Automated Readability Index
5.1
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Paul Simon
Take a look at that map behind Senator Cochran. It is very impressive. There is only one minor thing that is wrong with that, it ignores the poverty numbers. In the city of Chicago, there are 313,000 poor kids in the public schools. If you look at this map, it does not even get a dot on there. I look down at my State, and I see three small rural counties and they are on the map. Something is wrong. The Robert Taylor Homes in Chicago probably has more population than any one of these three counties. It is just totally ignoring the numbers.
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
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.92
Very Negative
Moderation
Sexual
0.1571092056
OpenAI Moderation v1 (007)
Violence
0.0817868102
OpenAI Moderation v1 (007)
Sexual > Minors
0.0786402612
OpenAI Moderation v1 (007)
Violence > Graphic
0.0348547415
OpenAI Moderation v1 (007)
Harassment
0.0285344315
OpenAI Moderation v1 (007)
Hate
0.0188447113
OpenAI Moderation v1 (007)
Hate > Threatening
0.0115935152
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0063730789
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001568249
OpenAI Moderation v1 (007)
Self-Harm
0.0005898966
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000452372
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
89.088
Magnitude:
27
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
81.4
Gunning-Fog Score
7.3
Coleman-Liau Index
7.8
SMOG Index
9.3
Automated Readability Index
3.3
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.6
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
19
Paul Simon
I heard the distinguished Senator from Arkansas say this is the worst formula he has ever seen. Let me tell you how we have improved the current law. Under the current law, in my State of Illinois, the North Brook/Glenview District, which has 1 percent of students in poverty, gets $12,309 per student in poverty. The city of Chicago, which has 313,000 poor students, gets $453 per pupil. Lake County, the Lake Forest School District, a very wealthy school district, gets $3,900 per pupil. The Waukegan School District with 5,714 poor students gets $165.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.22378
VADER
-0.901
Very Negative
Moderation
Violence
0.0109185763
OpenAI Moderation v1 (007)
Sexual
0.0028242963
OpenAI Moderation v1 (007)
Harassment
0.0003654145
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003302499
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001533699
OpenAI Moderation v1 (007)
Hate
0.0001155224
OpenAI Moderation v1 (007)
Harassment > Threatening
5.46891E-5
OpenAI Moderation v1 (007)
Self-Harm
6.5763E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.2991E-6
OpenAI Moderation v1 (007)
Hate > Threatening
6.032E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.52E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
59.173
Magnitude:
15
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
80.7
Gunning-Fog Score
8.2
Coleman-Liau Index
8.6
SMOG Index
10.3
Automated Readability Index
6.4
Dale-Chall Readability Score
5
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
26
Sprache Difficult Word Count
22
Paul Simon
I could go on.
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 > Threatening
0.0054269745
OpenAI Moderation v1 (007)
Violence
0.0053395615
OpenAI Moderation v1 (007)
Harassment
0.0024320432
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016647911
OpenAI Moderation v1 (007)
Sexual
0.0010354066
OpenAI Moderation v1 (007)
Hate
0.0001399276
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001262428
OpenAI Moderation v1 (007)
Self-Harm
8.28195E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.73403E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.48481E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.183E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
55.98
Magnitude:
43
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
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
Paul Simon
This really is a fair formula. I do not see our friend from Arkansas on the floor, but the cosponsor is the Senator from Mississippi. I would be interested, if he can respond, the current law gives 43 percent of these funds to the highest poverty districts. The Senate bill, the formula we have, makes it 54 percent. What is the percent under the Bumpers-Cochran amendment, if my colleague can give me the answer?
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.111
Leans Negative
Moderation
Sexual
0.1405821298
OpenAI Moderation v1 (007)
Violence
0.0242821101
OpenAI Moderation v1 (007)
Harassment
0.0091062444
OpenAI Moderation v1 (007)
Sexual > Minors
0.0027721286
OpenAI Moderation v1 (007)
Self-Harm
0.0022893335
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009707699
OpenAI Moderation v1 (007)
Hate
0.0008842569
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005673273
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003403087
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.05689E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.1203E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
69.8
Gunning-Fog Score
9.7
Coleman-Liau Index
9.6
SMOG Index
11.3
Automated Readability Index
6.4
Dale-Chall Readability Score
5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Thad Cochran
Mr. President, if the Senator will yield, the percentage the Senator is asking for is what percentage of what?
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
0.0282328372
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0253086153
OpenAI Moderation v1 (007)
Harassment
0.0173803637
OpenAI Moderation v1 (007)
Hate
0.0157495568
OpenAI Moderation v1 (007)
Violence > Graphic
0.0096033065
OpenAI Moderation v1 (007)
Hate > Threatening
0.0053786625
OpenAI Moderation v1 (007)
Sexual
0.0025868021
OpenAI Moderation v1 (007)
Self-Harm
0.0009962143
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005457798
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001036295
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.39153E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.1
Flesch-Kincaid Ease
68.1
Gunning-Fog Score
8
Coleman-Liau Index
11.4
SMOG Index
11.3
Automated Readability Index
5.1
Dale-Chall Readability Score
7.1
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
6
Paul Simon
Is what?
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
0.0601214473
OpenAI Moderation v1 (007)
Violence
0.033965375
OpenAI Moderation v1 (007)
Harassment
0.0056511461
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023296439
OpenAI Moderation v1 (007)
Sexual > Minors
0.001725308
OpenAI Moderation v1 (007)
Self-Harm
0.0002581407
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002291861
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002015068
OpenAI Moderation v1 (007)
Hate
0.0001226353
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.79427E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1843E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.8
Coleman-Liau Index
1.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.1
Sprache Readability Score
0.9
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Thad Cochran
What is the percentage referred to? I heard your percentages. You said current law is 43 percent, the committee bill is 60 percent, or something like 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)
1.09861
VADER
0.361
Somewhat Positive
Moderation
Violence
0.0531451718
OpenAI Moderation v1 (007)
Violence > Graphic
0.0194859036
OpenAI Moderation v1 (007)
Harassment
0.0100985773
OpenAI Moderation v1 (007)
Sexual
0.0034618039
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022338747
OpenAI Moderation v1 (007)
Sexual > Minors
0.000433852
OpenAI Moderation v1 (007)
Hate
0.0002250638
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001055678
OpenAI Moderation v1 (007)
Self-Harm
7.46425E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.2216E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.19E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
78.6
Gunning-Fog Score
9.5
Coleman-Liau Index
10.3
SMOG Index
9.9
Automated Readability Index
4
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Paul Simon
Twenty-five percent of school districts with the highest poverty rates. This focuses on them.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.511
Very Negative
Moderation
Violence
0.1208304544
OpenAI Moderation v1 (007)
Harassment
0.0325224013
OpenAI Moderation v1 (007)
Violence > Graphic
0.0124645871
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0074416865
OpenAI Moderation v1 (007)
Hate
0.0038280879
OpenAI Moderation v1 (007)
Sexual
0.0007735196
OpenAI Moderation v1 (007)
Hate > Threatening
0.0005213807
OpenAI Moderation v1 (007)
Self-Harm
0.0003449785
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001112944
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001008215
OpenAI Moderation v1 (007)
Sexual > Minors
3.91599E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
8.3
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
6.5
Dale-Chall Readability Score
5.6
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Thad Cochran
What our bill does is target the money to those with the highest percentage of poverty within their districts.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.511
Very Negative
Moderation
Violence > Graphic
0.0102462007
OpenAI Moderation v1 (007)
Sexual > Minors
0.0099087607
OpenAI Moderation v1 (007)
Violence
0.0075040756
OpenAI Moderation v1 (007)
Sexual
0.0047815338
OpenAI Moderation v1 (007)
Harassment
0.0002300316
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001675792
OpenAI Moderation v1 (007)
Hate
6.37906E-5
OpenAI Moderation v1 (007)
Self-Harm
2.54212E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3522E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.30892E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.2301E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
62.9
Gunning-Fog Score
11.8
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
10.6
Dale-Chall Readability Score
5.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Paul Simon
What I am trying to get at is the flaw in the Senator's amendment. He is focusing on percentages rather than numbers. The map shows that. The city of Peoria -- I do not remember the numbers in poverty there, but it is a very high percentage. It does not even make it. Milwaukee, WI, has some poor people, poor students in Milwaukee, WI. Sorry, it does not make it on this map. I think we have to recognize a deficiency there.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.55556
Very Negative
Harvard-IV (Absolute)
-0.55556
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.898
Very Negative
Moderation
Violence
0.0120326906
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018441271
OpenAI Moderation v1 (007)
Violence > Graphic
0.0017321185
OpenAI Moderation v1 (007)
Sexual > Minors
0.000991324
OpenAI Moderation v1 (007)
Harassment
0.0009517332
OpenAI Moderation v1 (007)
Sexual
0.0007963477
OpenAI Moderation v1 (007)
Hate
0.0003498775
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002107071
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001557392
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000109263
OpenAI Moderation v1 (007)
Self-Harm
7.01056E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
86.211
Magnitude:
34
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.4
Flesch-Kincaid Ease
74.4
Gunning-Fog Score
8.5
Coleman-Liau Index
7.9
SMOG Index
10.3
Automated Readability Index
2.6
Dale-Chall Readability Score
3.6
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
Paul Simon
Second, I would underscore to my colleague from New Mexico, for whom I have great respect, if we are going to do just what benefits our State, each one of us, then I am not going to vote for American Indian education. Now the reality is I support it because I think it is important. But Illinois does not get a penny from that. If each of us is going to be so provincial that we say if this does not benefit my State another $10 I am not going to vote for it, we are not going to benefit the Nation.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.8
Very Positive
Harvard-IV (Absolute)
0.8
Very Positive
Harvard-IV (Logit)
1.84583
VADER
0.903
Very Positive
Moderation
Harassment
0.1092241961
OpenAI Moderation v1 (007)
Violence
0.0129851411
OpenAI Moderation v1 (007)
Violence > Graphic
0.0077926154
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032892433
OpenAI Moderation v1 (007)
Sexual
0.0021293981
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0014537197
OpenAI Moderation v1 (007)
Hate
0.0001867697
OpenAI Moderation v1 (007)
Self-Harm
7.36803E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.10127E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.29926E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.0286E-6
OpenAI Moderation v1 (007)
Topics
Topic:
International Affairs
Score:
90.034
Magnitude:
36
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
67.3
Gunning-Fog Score
13.7
Coleman-Liau Index
6.4
SMOG Index
12
Automated Readability Index
9.1
Dale-Chall Readability Score
3.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
17
Paul Simon
I cannot tell you how, when there is a poor child in Milwaukee, WI, and that poor child does not get help, that it is going to hurt Illinois. But I know, intuitively, that is the case. And so we put a formula together that ignores the numbers.
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
-0.904
Very Negative
Moderation
Violence
0.0224219621
OpenAI Moderation v1 (007)
Harassment
0.0106328334
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058206781
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0019421106
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007595632
OpenAI Moderation v1 (007)
Sexual
0.0004902598
OpenAI Moderation v1 (007)
Hate
6.41581E-5
OpenAI Moderation v1 (007)
Self-Harm
2.26618E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.17285E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.13086E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.8499E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
69.575
Magnitude:
52
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
81.3
Gunning-Fog Score
8.9
Coleman-Liau Index
7.1
SMOG Index
10.6
Automated Readability Index
4.9
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Paul Simon
Yes, we may pick up 51 votes here, and I suppose the odds are that we will, but we do not serve the Nation well. I hope we have the courage to do the right thing.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.33647
VADER
0.913
Very Positive
Moderation
Violence
0.0163326986
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019949803
OpenAI Moderation v1 (007)
Harassment
0.001606996
OpenAI Moderation v1 (007)
Sexual
0.0003836108
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002853591
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002827517
OpenAI Moderation v1 (007)
Hate
5.75422E-5
OpenAI Moderation v1 (007)
Self-Harm
4.9587E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.6213E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.5606E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.2507E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
66.957
Magnitude:
46
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
3.9
Flesch-Kincaid Ease
99.3
Gunning-Fog Score
7.2
Coleman-Liau Index
3.8
SMOG Index
3.3
Automated Readability Index
3.3
Dale-Chall Readability Score
1.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
6
Paul Simon
This formula may not be perfect; no formula is. It is always a lot of compromise. But this formula really concentrates on helping poor children, and that is what we ought to be about in this body.
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
-0.261
Slightly Negative
Moderation
Sexual
0.0048487203
OpenAI Moderation v1 (007)
Violence
0.0026408214
OpenAI Moderation v1 (007)
Violence > Graphic
0.0026045631
OpenAI Moderation v1 (007)
Harassment
0.0020221125
OpenAI Moderation v1 (007)
Hate
0.0015304913
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012382307
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001234835
OpenAI Moderation v1 (007)
Self-Harm
7.12325E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.35145E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.14767E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.48876E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.004
Magnitude:
24
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
68.6
Gunning-Fog Score
11.4
Coleman-Liau Index
8.9
SMOG Index
11.3
Automated Readability Index
4.5
Dale-Chall Readability Score
3.6
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Dale Bumpers
Mr. President, I wonder if the Senator from Illinois will yield.
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
0.2086685039
OpenAI Moderation v1 (007)
Violence
0.0419583317
OpenAI Moderation v1 (007)
Hate
0.0101396166
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016106324
OpenAI Moderation v1 (007)
Self-Harm
0.0014565825
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007926064
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006442785
OpenAI Moderation v1 (007)
Sexual
0.000156987
OpenAI Moderation v1 (007)
Sexual > Minors
9.14934E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.89641E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.9253E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.788
Magnitude:
70
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
70.5
Gunning-Fog Score
2.2
Coleman-Liau Index
11.5
SMOG Index
9
Automated Readability Index
3.2
Dale-Chall Readability Score
7.5
Sprache Readability Score
1.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Paul Simon
Very briefly for a question.
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
Harassment
0.0476963964
OpenAI Moderation v1 (007)
Violence > Graphic
0.0176672853
OpenAI Moderation v1 (007)
Violence
0.0154420501
OpenAI Moderation v1 (007)
Self-Harm
0.0022488004
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0019119141
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001430781
OpenAI Moderation v1 (007)
Sexual
0.0013373331
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012833531
OpenAI Moderation v1 (007)
Hate
0.0006669556
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005471557
OpenAI Moderation v1 (007)
Hate > Threatening
8.3726E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
71.016
Magnitude:
56
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
2
Coleman-Liau Index
11.2
SMOG Index
3.3
Automated Readability Index
2.7
Dale-Chall Readability Score
3.4
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Dale Bumpers
I was in the Cloakroom, and I heard the Senator ask me and Senator Cochran how our formula works.
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
0.7788458373
OpenAI Moderation v1 (007)
Violence
0.1983041642
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0891420117
OpenAI Moderation v1 (007)
Violence > Graphic
0.010933444
OpenAI Moderation v1 (007)
Hate
0.0051170573
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.003529312
OpenAI Moderation v1 (007)
Sexual
0.0010900822
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008222502
OpenAI Moderation v1 (007)
Self-Harm
0.0006313341
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005638467
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001383742
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
88.934
Magnitude:
52
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
67.3
Gunning-Fog Score
9.7
Coleman-Liau Index
8.1
SMOG Index
12
Automated Readability Index
7.2
Dale-Chall Readability Score
5.1
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
4
Paul Simon
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
0.1132777194
OpenAI Moderation v1 (007)
Sexual
0.049343094
OpenAI Moderation v1 (007)
Violence > Graphic
0.0219114634
OpenAI Moderation v1 (007)
Harassment
0.0162231489
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0039038594
OpenAI Moderation v1 (007)
Hate
0.0014493302
OpenAI Moderation v1 (007)
Sexual > Minors
0.000778172
OpenAI Moderation v1 (007)
Self-Harm
0.000573209
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003349596
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.31359E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.1755E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
52.845
Magnitude:
52
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
33.527
Magnitude:
52
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
0.4
Coleman-Liau Index
1.6
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0
Sprache Readability Score
0.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Dale Bumpers
It is weighted like yours except for two things: equity bonus factor and the effort bonus factor, both of which the GAO says will take us in the opposite direction of what we are trying to accomplish.
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)
0.78846
VADER
0.906
Very Positive
Moderation
Violence
0.0663582527
OpenAI Moderation v1 (007)
Harassment
0.0643702515
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0205678458
OpenAI Moderation v1 (007)
Hate
0.0162149983
OpenAI Moderation v1 (007)
Sexual
0.0069301816
OpenAI Moderation v1 (007)
Hate > Threatening
0.002399285
OpenAI Moderation v1 (007)
Sexual > Minors
0.0016055377
OpenAI Moderation v1 (007)
Violence > Graphic
0.000330317
OpenAI Moderation v1 (007)
Self-Harm
4.64587E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.27996E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.41117E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.742
Magnitude:
21
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.1
Gunning-Fog Score
19
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
9
Paul Simon
I have not read the GAO report, but let me talk about the equity factor. If there is anything in here I criticize, it is that we did not put enough for the equity factor. The disparity that we have between rich and poor school districts in our States is something we ought to be addressing and we are not addressing. We address it just slightly here, and we ought to be addressing it more.
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
-0.392
Somewhat Negative
Moderation
Violence
0.0260687782
OpenAI Moderation v1 (007)
Sexual
0.0229864963
OpenAI Moderation v1 (007)
Harassment
0.0149178057
OpenAI Moderation v1 (007)
Hate
0.0013981573
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011495387
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005718538
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003178234
OpenAI Moderation v1 (007)
Self-Harm
3.30766E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.03369E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.972E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.286E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
69.4
Gunning-Fog Score
12.3
Coleman-Liau Index
8.4
SMOG Index
11.8
Automated Readability Index
7.3
Dale-Chall Readability Score
3.7
Sprache Readability Score
4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Paul Simon
The second is the effort factor, and I would make a correction to my friend from New Mexico on this. This is State spending on education relative to States' fiscal capacity. It is not that you are spending a flat amount per pupil. I think these are both very properly in this formula. I think we have put together here something that makes sense for the Nation.
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)
2.3979
VADER
0.494
Positive
Moderation
Violence
0.0742828473
OpenAI Moderation v1 (007)
Violence > Graphic
0.0218616304
OpenAI Moderation v1 (007)
Harassment
0.0043120464
OpenAI Moderation v1 (007)
Sexual
0.0005688117
OpenAI Moderation v1 (007)
Hate
0.0005596969
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001097799
OpenAI Moderation v1 (007)
Self-Harm
0.0001035077
OpenAI Moderation v1 (007)
Sexual > Minors
6.31585E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.46E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.0885E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.233E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
69.5
Gunning-Fog Score
10.1
Coleman-Liau Index
9.5
SMOG Index
10.9
Automated Readability Index
5.5
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Paul Simon
Real candidly, it may not make sense temporarily for your State, whatever State you are from. But it really makes sense for the Nation. I am sensitive to the people of the State of Illinois, and I try to fight for the people of the State of Illinois, and, yes, my State does benefit slightly from this. But my title is not Illinois Senator; it is United States Senator. We have to look at the national interest as we cast this vote.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.4
Somewhat Positive
Harvard-IV (Absolute)
0.4
Somewhat Positive
Harvard-IV (Logit)
0.76214
VADER
0.836
Very Positive
Moderation
Harassment
0.2114259405
OpenAI Moderation v1 (007)
Violence
0.0069252077
OpenAI Moderation v1 (007)
Hate
0.0042136602
OpenAI Moderation v1 (007)
Violence > Graphic
0.003182561
OpenAI Moderation v1 (007)
Sexual
0.00090419
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004270655
OpenAI Moderation v1 (007)
Self-Harm
4.60344E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.80246E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.55525E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.8949E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.3E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
66.4
Gunning-Fog Score
10.5
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
6.2
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Paul Simon
I yield my time.
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
62.175732851
OpenAI Moderation v1 (007)
Hate
0.1480211271
OpenAI Moderation v1 (007)
Harassment > Threatening
0.1011211774
OpenAI Moderation v1 (007)
Violence
0.0809949241
OpenAI Moderation v1 (007)
Sexual > Minors
0.0047508584
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009443709
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009414017
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005967931
OpenAI Moderation v1 (007)
Sexual
0.0003847389
OpenAI Moderation v1 (007)
Self-Harm
0.0001956876
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001003323
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Paul Simon
Mr. HARKIN addressed the Chair.
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
0.1929474529
OpenAI Moderation v1 (007)
Harassment
0.1188525115
OpenAI Moderation v1 (007)
Violence > Graphic
0.0129575827
OpenAI Moderation v1 (007)
Hate
0.0039030627
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012626968
OpenAI Moderation v1 (007)
Sexual
3.01111E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.84926E-5
OpenAI Moderation v1 (007)
Self-Harm
8.789E-6
OpenAI Moderation v1 (007)
Sexual > Minors
2.7642E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.274E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.464E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
3.4
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
2.1406140178
OpenAI Moderation v1 (007)
Violence
0.0615723256
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0241346919
OpenAI Moderation v1 (007)
Sexual > Minors
0.0047170499
OpenAI Moderation v1 (007)
Hate
0.0035072186
OpenAI Moderation v1 (007)
Sexual
0.0023643242
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015992007
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0009808024
OpenAI Moderation v1 (007)
Self-Harm
0.0007348761
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002802548
OpenAI Moderation v1 (007)
Hate > Threatening
9.41598E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
The Senator from Iowa is recognized for 10 minutes.
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
45.9416329861
OpenAI Moderation v1 (007)
Hate
0.2420705277
OpenAI Moderation v1 (007)
Violence
0.0764139055
OpenAI Moderation v1 (007)
Violence > Graphic
0.0213917927
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0059148726
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005818665
OpenAI Moderation v1 (007)
Sexual
0.0002544445
OpenAI Moderation v1 (007)
Self-Harm
1.33421E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.3311E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.177E-6
OpenAI Moderation v1 (007)
Hate > Threatening
9.815E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
86.198
Magnitude:
65
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
8
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
4
Dale-Chall Readability Score
5.7
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Tom Harkin
Mr. President, we have a lot of formula fights around here, and none of them are ever perfect. However, I believe the Pell- Kennedy formula is fair and it is balanced. I think any effort to change it ought to be rejected. It is more fair and more balanced, I believe, than the one being proffered by the Senator from Arkansas and the Senator from Mississippi.
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
0.374
Somewhat Positive
Moderation
Harassment
0.0337728823
OpenAI Moderation v1 (007)
Violence
0.0150445136
OpenAI Moderation v1 (007)
Hate
0.0082252707
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022794999
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004528952
OpenAI Moderation v1 (007)
Sexual
0.0004465469
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004299859
OpenAI Moderation v1 (007)
Self-Harm
2.36607E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5572E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.39968E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.0735E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.35
Magnitude:
74
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
69.1
Gunning-Fog Score
7.7
Coleman-Liau Index
9.4
SMOG Index
10.9
Automated Readability Index
5.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
15
Tom Harkin
I was listening to what the Senator from Illinois was saying. I noticed Iowa here. We have some counties down here in southern Iowa with poverty rates exceeding 20 and 25 percent. They are not depicted on there.
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
-0.511
Very Negative
Moderation
Harassment
9.5760025084
OpenAI Moderation v1 (007)
Violence
0.9543695487
OpenAI Moderation v1 (007)
Harassment > Threatening
0.8217846043
OpenAI Moderation v1 (007)
Hate
0.1665725722
OpenAI Moderation v1 (007)
Violence > Graphic
0.1544805011
OpenAI Moderation v1 (007)
Sexual
0.0017329263
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006334521
OpenAI Moderation v1 (007)
Self-Harm
0.0005091651
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003866671
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.72802E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.39152E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.381
Magnitude:
31
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
70.3
Gunning-Fog Score
8
Coleman-Liau Index
9.9
SMOG Index
11.3
Automated Readability Index
3.9
Dale-Chall Readability Score
5
Sprache Readability Score
2.9
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Tom Harkin
I see Florida. Florida has a lot of intense areas of distressed counties, yet they lose money. They lose money under Bumpers and Cochran. So does Colorado, and they have a lot of these little black dots, if that is what you are looking at there. They lose money under Bumpers and Cochran.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-1
Very Negative
Harvard-IV (Absolute)
-1
Very Negative
Harvard-IV (Logit)
-2.19722
VADER
-0.863
Very Negative
Moderation
Harassment
0.6858790293
OpenAI Moderation v1 (007)
Hate
0.0049633345
OpenAI Moderation v1 (007)
Violence
0.0034347926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0022927308
OpenAI Moderation v1 (007)
Sexual
0.0010821346
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004035133
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003625895
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.04624E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.36092E-5
OpenAI Moderation v1 (007)
Self-Harm
2.25032E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.772E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
45.843
Magnitude:
30
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
76.4
Gunning-Fog Score
5.7
Coleman-Liau Index
9.5
SMOG Index
8.4
Automated Readability Index
4.1
Dale-Chall Readability Score
3.8
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
11
Tom Harkin
I heard my friend from Mississippi say a little while ago that the Pell-Kennedy formula only helped rich States. Well, I am sorry. Go back and look at it. Our formula helps West Virginia, helps it quite well, and that is certainly not a rich State.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
0.941
Very Positive
Moderation
Harassment
0.2334675053
OpenAI Moderation v1 (007)
Violence
0.0353925512
OpenAI Moderation v1 (007)
Violence > Graphic
0.0294599333
OpenAI Moderation v1 (007)
Hate
0.0108398468
OpenAI Moderation v1 (007)
Harassment > Threatening
0.004026309
OpenAI Moderation v1 (007)
Self-Harm
0.001627687
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008472903
OpenAI Moderation v1 (007)
Sexual
0.0003307899
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001812433
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001153412
OpenAI Moderation v1 (007)
Hate > Threatening
9.29426E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
79.104
Magnitude:
60
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
76.1
Gunning-Fog Score
7.3
Coleman-Liau Index
8.6
SMOG Index
10.3
Automated Readability Index
4
Dale-Chall Readability Score
2.9
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
9
Tom Harkin
I think the alternative formula misses the mark. Let me try to explain what the Pell-Kennedy formula does again. The Federal-to-State allocation includes a weighting provision to provide additional funds to areas of high numbers or percentages of low-income children. That is in the Pell-Kennedy formula.
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
-0.226
Slightly Negative
Moderation
Harassment
0.1177510596
OpenAI Moderation v1 (007)
Violence > Graphic
0.0133374473
OpenAI Moderation v1 (007)
Violence
0.0057479167
OpenAI Moderation v1 (007)
Sexual
0.0030116995
OpenAI Moderation v1 (007)
Sexual > Minors
0.0018187691
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012130198
OpenAI Moderation v1 (007)
Hate
0.0006965039
OpenAI Moderation v1 (007)
Self-Harm
0.0001911202
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001251231
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001242155
OpenAI Moderation v1 (007)
Hate > Threatening
1.5869E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
39.882
Magnitude:
19
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
51.2
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
8
Dale-Chall Readability Score
6.2
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
16
Tom Harkin
However, there is an additional part of the formula that includes incentive payments for State effort and equity. With the addition of these incentives, this formula breaks new ground.
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
0.586
Very Positive
Moderation
Harassment
0.0098658427
OpenAI Moderation v1 (007)
Violence > Graphic
0.0085296866
OpenAI Moderation v1 (007)
Violence
0.006607634
OpenAI Moderation v1 (007)
Hate
0.0006565941
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004882972
OpenAI Moderation v1 (007)
Sexual
0.0004547679
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002264551
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001780623
OpenAI Moderation v1 (007)
Self-Harm
0.0001646752
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.08361E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.612E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
85.253
Magnitude:
107
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
46.3
Gunning-Fog Score
15.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
5.6
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Tom Harkin
Some say they are unnecessary. I disagree. I think we have to recognize a few simple realities. First, the underlying premise of title 1 programs is that it will provide supplemental services for the education of economically disadvantaged students. Unfortunately, in far too many schools the resources are insufficient and title 1 is not providing the supplemental services that were envisioned.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.3979
Harvard-IV (Relative)
0
Neutral
Harvard-IV (Absolute)
0
Neutral
Harvard-IV (Logit)
0
VADER
-0.772
Very Negative
Moderation
Harassment
0.2440489829
OpenAI Moderation v1 (007)
Violence
0.0211560327
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0084898027
OpenAI Moderation v1 (007)
Hate
0.0083090163
OpenAI Moderation v1 (007)
Violence > Graphic
0.0057535486
OpenAI Moderation v1 (007)
Sexual > Minors
0.0036838155
OpenAI Moderation v1 (007)
Sexual
0.001755391
OpenAI Moderation v1 (007)
Self-Harm
0.0014772614
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007421238
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004915238
OpenAI Moderation v1 (007)
Hate > Threatening
1.62724E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
86.237
Magnitude:
64
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
36.3
Gunning-Fog Score
16
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
21
Tom Harkin
Second, the Federal Government right now provides about 6 percent of the revenues for elementary and secondary schools -- small but very important. In 1980, it was 11 percent, and that has fallen to 6 percent, and with the budget constraints, it is probably not going to go up very much more than now.
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
-0.167
Leans Negative
Moderation
Harassment
34.5446079969
OpenAI Moderation v1 (007)
Violence
0.1321460237
OpenAI Moderation v1 (007)
Hate
0.1178885926
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0674205949
OpenAI Moderation v1 (007)
Violence > Graphic
0.0117588737
OpenAI Moderation v1 (007)
Sexual
0.0005335519
OpenAI Moderation v1 (007)
Self-Harm
0.0001351033
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001208484
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.38486E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.35007E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.17964E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
92.588
Magnitude:
32
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.9
Flesch-Kincaid Ease
57
Gunning-Fog Score
14.4
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
11
Tom Harkin
Some States have placed a high priority on education and providing State resources for K through 12. Schools in all these States are heavily financed by local property taxes, and so what happens, Mr. President? We know what happens. If you have high property values, you have good schools. If you have poor areas, you have bad schools.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.42857
Positive
Harvard-IV (Absolute)
0.42857
Positive
Harvard-IV (Logit)
0.78846
VADER
-0.25
Slightly Negative
Moderation
Violence
0.0529078185
OpenAI Moderation v1 (007)
Harassment
0.0241305941
OpenAI Moderation v1 (007)
Sexual
0.0109441251
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047649737
OpenAI Moderation v1 (007)
Hate
0.0023550283
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006725181
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004982709
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004640992
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.94472E-5
OpenAI Moderation v1 (007)
Self-Harm
6.44675E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.9815E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
92.264
Magnitude:
52
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
78.9
Gunning-Fog Score
8.7
Coleman-Liau Index
11.2
SMOG Index
9.4
Automated Readability Index
5
Dale-Chall Readability Score
4.3
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15
Tom Harkin
Now, some States have taken very aggressive action to equalize funding so that all children will have an equal opportunity to succeed. However, other States have not addressed these huge financing differences.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.58
Very Positive
Moderation
Harassment
0.1085391035
OpenAI Moderation v1 (007)
Violence
0.0792327337
OpenAI Moderation v1 (007)
Sexual
0.0132894347
OpenAI Moderation v1 (007)
Violence > Graphic
0.0054287866
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0029721201
OpenAI Moderation v1 (007)
Hate
0.0024378438
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003956286
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001182555
OpenAI Moderation v1 (007)
Self-Harm
0.0001124376
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.56435E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.321E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Housing
Score:
69.557
Magnitude:
62
Code:
14
Url:
https://fsc.al/cap-mc#14
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.9
Flesch-Kincaid Ease
45.2
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.7
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
14
Tom Harkin
So what we have built into the Pell-Kennedy formula is a carrot, a reward to say to States: Look, if you will do a better job at equalizing your formulas, you will get better help. That is what the effort and equity provisions are for, to reward and encourage these States.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.3979
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.96
Very Positive
Moderation
Violence
0.0235220796
OpenAI Moderation v1 (007)
Harassment
0.0107162603
OpenAI Moderation v1 (007)
Sexual
0.0069839662
OpenAI Moderation v1 (007)
Violence > Graphic
0.0042271677
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011322891
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009271295
OpenAI Moderation v1 (007)
Hate
6.46599E-5
OpenAI Moderation v1 (007)
Self-Harm
5.28717E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.77156E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.2256E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.91E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
94.443
Magnitude:
136
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
58.4
Gunning-Fog Score
15
Coleman-Liau Index
8.5
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
4
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
10
Tom Harkin
Read Jonathan Kozol's book "Savage Inequities." He portrays the differences that exist in our Nation's schools.
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)
-1.60944
VADER
-0.459
Negative
Moderation
Violence
0.0309636584
OpenAI Moderation v1 (007)
Harassment
0.0149963904
OpenAI Moderation v1 (007)
Sexual
0.0026015967
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023457867
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011038554
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003390576
OpenAI Moderation v1 (007)
Hate
0.0001092112
OpenAI Moderation v1 (007)
Self-Harm
3.7876E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.5873E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0638E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.61E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
66.15
Magnitude:
82
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
45.4
Gunning-Fog Score
5.7
Coleman-Liau Index
12
SMOG Index
10.3
Automated Readability Index
9.1
Dale-Chall Readability Score
6.3
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Tom Harkin
In our country, property taxes fund local schools. So if you have a wealthy district, you have good schools; poor districts, you have poor schools.
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
-0.202
Slightly Negative
Moderation
Violence
0.0208840676
OpenAI Moderation v1 (007)
Sexual
0.0143803351
OpenAI Moderation v1 (007)
Violence > Graphic
0.0130715081
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022548174
OpenAI Moderation v1 (007)
Harassment
0.0019973293
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012197584
OpenAI Moderation v1 (007)
Self-Harm
0.0005149552
OpenAI Moderation v1 (007)
Hate > Threatening
9.92699E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.74067E-5
OpenAI Moderation v1 (007)
Hate
4.43603E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.187E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
82.5
Gunning-Fog Score
6.6
Coleman-Liau Index
11.7
SMOG Index
7.3
Automated Readability Index
6.9
Dale-Chall Readability Score
5
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
6
Tom Harkin
Now, in my State of Iowa -- and I am very proud of it -- in the 1970's, our State legislature passed very aggressive laws to equalize this, to say that if you have a rich district, you are going to get less of the State aid for schools than if you have a poor district. That started in the 1970's. I think it is one of the reasons why our Iowa students K through 12 always place in the highest in all of the tests -- math and science and everything else. Iowa students always place highest because we have equalized it to the greatest extent possible. There are other States that have not done that.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0.802
Very Positive
Moderation
Violence > Graphic
0.0235079322
OpenAI Moderation v1 (007)
Sexual
0.0121442143
OpenAI Moderation v1 (007)
Violence
0.0120678866
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017082222
OpenAI Moderation v1 (007)
Harassment
0.0005636768
OpenAI Moderation v1 (007)
Self-Harm
0.0003168344
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002724552
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.46301E-5
OpenAI Moderation v1 (007)
Hate
7.04525E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.84609E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8817E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
71.6
Gunning-Fog Score
11.6
Coleman-Liau Index
7.7
SMOG Index
10.9
Automated Readability Index
8.8
Dale-Chall Readability Score
4.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
23
Tom Harkin
I ask the proponents of this amendment, the Senator from Arkansas and the Senator from Mississippi, how have your States done in equalizing their benefits to these poor school districts? Take a look at it. That is what we are saying here. If your State has made a good effort, you will get a little bit more. We are trying to provide that incentive. I say it to the Senator from Arkansas, too. That is all we are trying to do. We do not have enough money to spend in every rich district in the country, so we are trying to get the States to make a little bit more of an effort.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.27273
Slightly Negative
Harvard-IV (Absolute)
-0.27273
Slightly Negative
Harvard-IV (Logit)
-0.51083
VADER
0.818
Very Positive
Moderation
Violence
0.1894021523
OpenAI Moderation v1 (007)
Violence > Graphic
0.0410278677
OpenAI Moderation v1 (007)
Sexual
0.0198792855
OpenAI Moderation v1 (007)
Harassment
0.0188489692
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0070168637
OpenAI Moderation v1 (007)
Hate
0.0024512276
OpenAI Moderation v1 (007)
Hate > Threatening
0.0022535536
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013812902
OpenAI Moderation v1 (007)
Self-Harm
0.0005301496
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.17066E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.5048E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.6
Flesch-Kincaid Ease
80.2
Gunning-Fog Score
7.8
Coleman-Liau Index
7.7
SMOG Index
10.3
Automated Readability Index
4.5
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
14
Tom Harkin
That is all the Pell-Kennedy formula does. You can talk about how many States win and how many States lose, but the Pell-Kennedy formula is fair. It may not be perfect. Obviously, if each of us could draft a formula, we would draft it to benefit our States. But that is not the case here. We drafted a careful formula to do two things: provide money for concentrations where that is necessary, to meet the needs of those kids in highly concentrated areas, and, second, to try to give some incentive to States to do better on their own in equalizing their formulas. That is why I would urge my colleagues to support the Pell- Kennedy formula and to reject the proposed change in that formula.
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
0.936
Very Positive
Moderation
Violence
0.0197702917
OpenAI Moderation v1 (007)
Harassment
0.0152867127
OpenAI Moderation v1 (007)
Sexual
0.0151099841
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.005395796
OpenAI Moderation v1 (007)
Self-Harm
0.005313463
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0049633869
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046084126
OpenAI Moderation v1 (007)
Hate
0.0031174161
OpenAI Moderation v1 (007)
Sexual > Minors
0.002941871
OpenAI Moderation v1 (007)
Hate > Threatening
0.0021572328
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014738251
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.7
Flesch-Kincaid Ease
65.3
Gunning-Fog Score
12.3
Coleman-Liau Index
9.4
SMOG Index
12
Automated Readability Index
7.9
Dale-Chall Readability Score
5
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
33
Sprache Difficult Word Count
23
The Presiding Officer
The PRESIDING OFFICER.
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
0.0277131418
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0245285511
OpenAI Moderation v1 (007)
Harassment
0.0173382534
OpenAI Moderation v1 (007)
Hate
0.0157659044
OpenAI Moderation v1 (007)
Violence > Graphic
0.0091667695
OpenAI Moderation v1 (007)
Hate > Threatening
0.0052987893
OpenAI Moderation v1 (007)
Sexual
0.0025584804
OpenAI Moderation v1 (007)
Self-Harm
0.0009918952
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005281925
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001034833
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.31777E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
Mr. President, how much time do I have remaining?
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
0.0552339654
OpenAI Moderation v1 (007)
Sexual
0.0551110657
OpenAI Moderation v1 (007)
Violence
0.0410893728
OpenAI Moderation v1 (007)
Hate
0.0222399394
OpenAI Moderation v1 (007)
Violence > Graphic
0.0082486542
OpenAI Moderation v1 (007)
Sexual > Minors
0.0050115279
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0048652557
OpenAI Moderation v1 (007)
Hate > Threatening
0.0008225844
OpenAI Moderation v1 (007)
Self-Harm
7.14597E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.11E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.4282E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
89.5
Gunning-Fog Score
6.2
Coleman-Liau Index
9
SMOG Index
7.3
Automated Readability Index
0.7
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.0567720563
OpenAI Moderation v1 (007)
Harassment
0.0159788324
OpenAI Moderation v1 (007)
Violence > Graphic
0.0086598768
OpenAI Moderation v1 (007)
Sexual
0.0046458932
OpenAI Moderation v1 (007)
Sexual > Minors
0.0011110933
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010337334
OpenAI Moderation v1 (007)
Hate
0.0002374277
OpenAI Moderation v1 (007)
Self-Harm
4.01221E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.34682E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0182E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.52E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
18.2
Gunning-Fog Score
1
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
11.8
Dale-Chall Readability Score
3.3
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Dale Bumpers
And how much time does the -- --
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 > Graphic
0.045356169
OpenAI Moderation v1 (007)
Violence
0.031912842
OpenAI Moderation v1 (007)
Harassment
0.0316609221
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034123957
OpenAI Moderation v1 (007)
Hate
0.0030528685
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025983536
OpenAI Moderation v1 (007)
Self-Harm
0.002220337
OpenAI Moderation v1 (007)
Sexual
0.0018405661
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004155977
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.88679E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.3641E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
4.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
The Presiding Officer
The PRESIDING OFFICER.
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
0.0238023713
OpenAI Moderation v1 (007)
Violence
0.0109805973
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024709354
OpenAI Moderation v1 (007)
Hate
0.0018683293
OpenAI Moderation v1 (007)
Sexual
0.0006358944
OpenAI Moderation v1 (007)
Sexual > Minors
0.000393482
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002549619
OpenAI Moderation v1 (007)
Self-Harm
0.0001016325
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.04993E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.36583E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.2476E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.2
Flesch-Kincaid Ease
34.6
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
8.3
Dale-Chall Readability Score
2.8
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
3
Dale Bumpers
Mr. President, Senator Cochran and I are not trying to punish the more affluent States, but if you look at the map, you can see where the poverty is. You see those black areas? That is where twice as many people live below the national poverty rate. That, friends, is poverty. And what does this formula do to redress that? It gives more money to the more affluent States. It is true that poor States get a little bit more, under the committee formula.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
-0.4
Negative
Harvard-IV (Absolute)
-0.4
Negative
Harvard-IV (Logit)
-0.76214
VADER
-0.892
Very Negative
Moderation
Violence > Graphic
0.0523707306
OpenAI Moderation v1 (007)
Violence
0.0263650756
OpenAI Moderation v1 (007)
Harassment
0.006549267
OpenAI Moderation v1 (007)
Hate
0.0009348209
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005660767
OpenAI Moderation v1 (007)
Sexual
0.0005273097
OpenAI Moderation v1 (007)
Self-Harm
0.0002342131
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001943126
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001126035
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001069337
OpenAI Moderation v1 (007)
Hate > Threatening
1.75329E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
85.156
Magnitude:
22
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
80.4
Gunning-Fog Score
8.5
Coleman-Liau Index
9.1
SMOG Index
9.7
Automated Readability Index
3.7
Dale-Chall Readability Score
3.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
18
Dale Bumpers
While most States get a little bit more under the committee's proposed formula, it is because there is a $7 billion-plus authorization. But please do not do us any more favors like this. We cannot stand it. I am reminded, in looking at that map of Willie Sutton. Someone asked him, "Why do you rob banks?" He said, "Because that is where the money is." This program is intended to help poor children and the money ought to be going where the poor people are, and it is not. Take the State of Massachusetts -- and I am not picking on the floor manager's State -- but take the State of Massachusetts with 6 million people, and Arkansas with 2\1/2\ million people; 24 percent of our children are in poverty, and 13 percent of the children in Massachusetts live in poverty. We get $704 under the committee bill. Massachusetts gets $1,023, 40 percent more than we get per child. They get between $40 million and $50 million more even though they have only slightly more poor children than we have.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.47957
VADER
-0.937
Very Negative
Moderation
Violence
0.0443758734
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0104818886
OpenAI Moderation v1 (007)
Sexual
0.0053850421
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036969497
OpenAI Moderation v1 (007)
Harassment
0.0028105263
OpenAI Moderation v1 (007)
Hate
0.0017926142
OpenAI Moderation v1 (007)
Self-Harm
0.0017360311
OpenAI Moderation v1 (007)
Sexual > Minors
0.0008312796
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0007193886
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003199977
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001363122
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
69.368
Magnitude:
17
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
75.2
Gunning-Fog Score
10.3
Coleman-Liau Index
8.6
SMOG Index
11.2
Automated Readability Index
6.3
Dale-Chall Readability Score
3.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
29
Sprache Difficult Word Count
32
Dale Bumpers
Do not do me any more favors like 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)
1.09861
VADER
0.618
Very Positive
Moderation
Violence
0.024588799
OpenAI Moderation v1 (007)
Sexual > Minors
0.0051133353
OpenAI Moderation v1 (007)
Sexual
0.0044926623
OpenAI Moderation v1 (007)
Violence > Graphic
0.0040299929
OpenAI Moderation v1 (007)
Harassment
0.0026960635
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002487504
OpenAI Moderation v1 (007)
Hate
0.000107788
OpenAI Moderation v1 (007)
Hate > Threatening
3.3283E-6
OpenAI Moderation v1 (007)
Self-Harm
2.1587E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.1282E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.435E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
74.434
Magnitude:
41
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
94.3
Gunning-Fog Score
3.6
Coleman-Liau Index
3.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Dale Bumpers
In Arkansas, we are at 70 percent of the per-pupil expenditure of the national average, which is a little over $5,000 per pupil. Thirty-one States are below the national average. But if you, like Arkansas, are at 70 percent, and you are about third or fourth from the bottom in per capita income, I promise you my children will be dead before they match the 95 percent level for effort the committee bill has demanded. The committee says that until you reach 95 percent of the national per- pupil expenditure average, you cannot get another penny under this formula.
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
-0.318
Somewhat Negative
Moderation
Violence
0.0447416242
OpenAI Moderation v1 (007)
Harassment
0.0225196374
OpenAI Moderation v1 (007)
Violence > Graphic
0.0180154893
OpenAI Moderation v1 (007)
Sexual
0.0038144044
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0035793037
OpenAI Moderation v1 (007)
Sexual > Minors
0.0020991663
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0005130865
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001995544
OpenAI Moderation v1 (007)
Self-Harm
0.0001859942
OpenAI Moderation v1 (007)
Hate
6.11715E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.1595E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
54.1
Gunning-Fog Score
15.7
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
11.6
Dale-Chall Readability Score
5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
21
Dale Bumpers
You think about that. And when you are trying to reach such massive figures as the difference between 70 percent and 95 percent of the national average, the children in my State will be dead before they get another nickel under this formula.
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)
-2.19722
VADER
-0.637
Very Negative
Moderation
Harassment
0.1760674291
OpenAI Moderation v1 (007)
Violence
0.0252039346
OpenAI Moderation v1 (007)
Violence > Graphic
0.0247893069
OpenAI Moderation v1 (007)
Sexual
0.004556268
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032311793
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023391876
OpenAI Moderation v1 (007)
Hate
0.0015218664
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001781024
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.01146E-5
OpenAI Moderation v1 (007)
Self-Harm
3.21687E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.9824E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
84.313
Magnitude:
55
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.5
Flesch-Kincaid Ease
65
Gunning-Fog Score
13.3
Coleman-Liau Index
10.5
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
10
Dale Bumpers
What did the General Accounting Office say about the so-called equity bonus on disparities? In my State we have a property tax which pays about 50 percent of our education expenditures. You might not like it, but that is the way it is. We have a property tax. The more affluent counties spend more money on schools, but not because of a State requirement. The State actually sends more money to the poor counties than they do to the more affluent counties. But if the counties that have a little more money and want to spend a little more on education and increase their property tax a little bit more, why should they not? They should. But they should not ever plan on getting any more money under this formula because they will never reach the 95-percent level in the equity bonus set out by the committee, or the so-called "equity bonus per person" expenditures per child.
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)
1.03609
VADER
0.911
Very Positive
Moderation
Harassment
0.2553303726
OpenAI Moderation v1 (007)
Violence
0.0113141119
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0093902025
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031079591
OpenAI Moderation v1 (007)
Sexual
0.0018166907
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009908855
OpenAI Moderation v1 (007)
Hate
0.0001270309
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.67614E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.45232E-5
OpenAI Moderation v1 (007)
Self-Harm
9.2186E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.0153E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
65.1
Gunning-Fog Score
11.4
Coleman-Liau Index
9.8
SMOG Index
11.6
Automated Readability Index
8
Dale-Chall Readability Score
3.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
24
Dale Bumpers
Here is what the General Accounting Office said. I want you to listen to this. This is what the General Accounting Office said about the equity bonus factor:
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
0.586
Very Positive
Moderation
Violence
0.0253206817
OpenAI Moderation v1 (007)
Harassment
0.0083506551
OpenAI Moderation v1 (007)
Sexual > Minors
0.0074850373
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058070396
OpenAI Moderation v1 (007)
Sexual
0.0019466632
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016176838
OpenAI Moderation v1 (007)
Hate
0.0001963847
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000106338
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.17558E-5
OpenAI Moderation v1 (007)
Self-Harm
5.13192E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.822E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.405
Magnitude:
56
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7
Flesch-Kincaid Ease
61.4
Gunning-Fog Score
5.2
Coleman-Liau Index
10.9
SMOG Index
10.6
Automated Readability Index
4.6
Dale-Chall Readability Score
3.3
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Dale Bumpers
The Senator from Illinois made much of the fact that the committee is trying to get the States to eliminate the disparities in spending on students, and that is a very laudable goal. But the formula in effect says, don't worry about it, you will never reach it.
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 Negative
Harvard-IV (Absolute)
-0.33333
Somewhat Negative
Harvard-IV (Logit)
-0.58779
VADER
0.135
Leans Positive
Moderation
Harassment
0.0105012165
OpenAI Moderation v1 (007)
Violence
0.0048258127
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0015707845
OpenAI Moderation v1 (007)
Violence > Graphic
0.001300868
OpenAI Moderation v1 (007)
Sexual
0.00107729
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003665023
OpenAI Moderation v1 (007)
Hate
0.0002339883
OpenAI Moderation v1 (007)
Self-Harm
2.17214E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.22706E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.15922E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1999E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
86.811
Magnitude:
64
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.2
Flesch-Kincaid Ease
57.3
Gunning-Fog Score
13.8
Coleman-Liau Index
9.7
SMOG Index
12
Automated Readability Index
11
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
13
Dale Bumpers
The General Accounting Office says there is no incentive to improve -- and there is not -- especially for those poor States. Then why have such a factor?
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
-0.05
Neutral
Moderation
Violence > Graphic
0.0192686814
OpenAI Moderation v1 (007)
Violence
0.013629056
OpenAI Moderation v1 (007)
Sexual
0.0088770561
OpenAI Moderation v1 (007)
Harassment
0.0004134977
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003296659
OpenAI Moderation v1 (007)
Self-Harm
0.0002289987
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001961916
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.05541E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.26829E-5
OpenAI Moderation v1 (007)
Hate
1.68484E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.604E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
90.387
Magnitude:
82
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
70
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
2.9
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
8
Dale Bumpers
I will tell you exactly why it is in there. It is in there to make sure that the wealthiest States in America -- New York, Maine, Connecticut, Rhode Island, Pennsylvania, Illinois, Ohio -- get the money. They get the money, and they will continue to get more. I thought the Civil War was over. However, the States on that map with all those black dots will never benefit from this formula.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.004
Neutral
Moderation
Violence
0.0520439353
OpenAI Moderation v1 (007)
Harassment
0.0411108893
OpenAI Moderation v1 (007)
Violence > Graphic
0.0157625676
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0094508476
OpenAI Moderation v1 (007)
Sexual > Minors
0.0071640425
OpenAI Moderation v1 (007)
Sexual
0.0066340377
OpenAI Moderation v1 (007)
Hate
0.0006757667
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.69084E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.42036E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.27152E-5
OpenAI Moderation v1 (007)
Self-Harm
2.01402E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.462
Magnitude:
77
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.1
Flesch-Kincaid Ease
69.4
Gunning-Fog Score
9
Coleman-Liau Index
9.5
SMOG Index
11.7
Automated Readability Index
5.8
Dale-Chall Readability Score
3.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
18
Dale Bumpers
Mr. President, somebody had to come early and stay late to think up this formula. How in the world can you justify the most affluent States of America, which I just named, getting anywhere from $1,000 to $1,200 per poor child, and the State of Arkansas getting $704, the State of Alabama getting $710, and the State of Mississippi getting $742? How do you justify that? Answer: you cannot.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
0.11111
Leans Positive
Harvard-IV (Absolute)
0.11111
Leans Positive
Harvard-IV (Logit)
0.20067
VADER
-0.536
Very Negative
Moderation
Violence
0.1220935374
OpenAI Moderation v1 (007)
Harassment
0.0211845952
OpenAI Moderation v1 (007)
Violence > Graphic
0.0171213309
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0068336267
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028248001
OpenAI Moderation v1 (007)
Sexual
0.0018886096
OpenAI Moderation v1 (007)
Hate
0.0002521931
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001265466
OpenAI Moderation v1 (007)
Self-Harm
3.02447E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.39918E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.3749E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Social Welfare
Score:
83.144
Magnitude:
98
Code:
13
Url:
https://fsc.al/cap-mc#13
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.9
Flesch-Kincaid Ease
78
Gunning-Fog Score
9.1
Coleman-Liau Index
7.8
SMOG Index
11.3
Automated Readability Index
4.6
Dale-Chall Readability Score
3.4
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16
Dale Bumpers
We probably will not prevail on this vote. A few in this body have gone to dinner, will walk in not having heard the debate, and will walk down to the floor managers, and, say, "How should we vote?" It is so discouraging, Mr. President. You do not see any little black dots in Massachusetts. You do not see any little black dots in New York. You do not see any in Iowa. You do not see any in Indiana. Look where they are. Why do you think I have worked as hard as I have on this amendment? Because this is a demonstration of a significantly inequitable formula.
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
-0.193
Leans Negative
Moderation
Violence
0.2626132686
OpenAI Moderation v1 (007)
Violence > Graphic
0.1343717566
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0071299379
OpenAI Moderation v1 (007)
Harassment
0.0069867303
OpenAI Moderation v1 (007)
Sexual
0.0017009819
OpenAI Moderation v1 (007)
Hate
0.0003962025
OpenAI Moderation v1 (007)
Self-Harm
0.0003066616
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.65905E-5
OpenAI Moderation v1 (007)
Sexual > Minors
8.00996E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.54683E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.12452E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
52.691
Magnitude:
100
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Topic:
Government Operations
Score:
25.499
Magnitude:
100
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
78.8
Gunning-Fog Score
6.9
Coleman-Liau Index
7.6
SMOG Index
9
Automated Readability Index
2.3
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
20
Dale Bumpers
There is one thing I want to say about this that is good. The committee said if you do not have 5 percent of children in poverty in your school district, you get nothing. That is a step in the right direction.
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
-0.026
Neutral
Moderation
Violence
0.1474995282
OpenAI Moderation v1 (007)
Harassment
0.107619667
OpenAI Moderation v1 (007)
Violence > Graphic
0.0432214321
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0152104796
OpenAI Moderation v1 (007)
Sexual
0.008819074
OpenAI Moderation v1 (007)
Sexual > Minors
0.004646341
OpenAI Moderation v1 (007)
Hate
0.0008035531
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002972255
OpenAI Moderation v1 (007)
Self-Harm
0.0002386431
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001331313
OpenAI Moderation v1 (007)
Hate > Threatening
6.92498E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
87.9
Gunning-Fog Score
8.5
Coleman-Liau Index
7
SMOG Index
9
Automated Readability Index
3.8
Dale-Chall Readability Score
2.2
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
Dale Bumpers
Mr. President, I yield the floor, and reserve the remainder of my time.
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
Violence
0.0799995963
OpenAI Moderation v1 (007)
Harassment
0.0189030179
OpenAI Moderation v1 (007)
Sexual
0.0088585715
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0076297802
OpenAI Moderation v1 (007)
Hate
0.0020827058
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012539679
OpenAI Moderation v1 (007)
Self-Harm
0.0003784639
OpenAI Moderation v1 (007)
Sexual > Minors
5.10249E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.38301E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.41059E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.4276E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.623
Magnitude:
83
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
2.4
Flesch-Kincaid Ease
89.6
Gunning-Fog Score
5.7
Coleman-Liau Index
9.1
SMOG Index
7.3
Automated Readability Index
1.7
Dale-Chall Readability Score
6.4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
5
Dale Bumpers
Mr. KENNEDY addressed the Chair.
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
0.0886034104
OpenAI Moderation v1 (007)
Violence > Graphic
0.0531588448
OpenAI Moderation v1 (007)
Sexual
0.0264794682
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019921323
OpenAI Moderation v1 (007)
Harassment
0.0019753767
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001049937
OpenAI Moderation v1 (007)
Hate
0.0008362691
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001987046
OpenAI Moderation v1 (007)
Self-Harm
0.0001793793
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.38351E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0719E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.583
Magnitude:
121
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
9
Coleman-Liau Index
12
SMOG Index
7.3
Automated Readability Index
4.3
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.0190256702
OpenAI Moderation v1 (007)
Sexual > Minors
0.0084558436
OpenAI Moderation v1 (007)
Violence
0.0058676978
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043543565
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.002394394
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0010315658
OpenAI Moderation v1 (007)
Harassment
0.0007536696
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005408074
OpenAI Moderation v1 (007)
Self-Harm
0.0001681737
OpenAI Moderation v1 (007)
Hate > Threatening
1.61901E-5
OpenAI Moderation v1 (007)
Hate
1.49339E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.325
Magnitude:
54
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
9.9
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
11.3
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
Mr. President, I listened carefully to the Senator from Arkansas. I draw his attention to the fact, for example, under his formula the State of Utah -- which has the third or fourth fewest poor children in the country, third or fourth lowest number of poor children in the country -- and under the Bumpers formula, they have one of the highest increases; one of the highest increases. They go up 9.8 percent, and they have 10.9 percent poor children.
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)
1.60944
VADER
-0.878
Very Negative
Moderation
Violence
0.0015006933
OpenAI Moderation v1 (007)
Sexual
0.0005068391
OpenAI Moderation v1 (007)
Harassment
0.0003422851
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002358689
OpenAI Moderation v1 (007)
Harassment > Threatening
7.23879E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.83703E-5
OpenAI Moderation v1 (007)
Hate
4.3419E-6
OpenAI Moderation v1 (007)
Self-Harm
2.1487E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0988E-6
OpenAI Moderation v1 (007)
Hate > Threatening
8.925E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.845E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
11.4
Coleman-Liau Index
10.5
SMOG Index
11.8
Automated Readability Index
9.4
Dale-Chall Readability Score
4.8
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
17
Ted Kennedy
So, with all respect, I would have the facts, and tell those to the mothers of children in California or New York or Florida where you have hundreds of thousands; 350,000 poor children in Florida; 600,000, 970,000, and every one of those poor children under the Senator's formula goes down. You wonder why we work so hard at the formula.
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
-0.423
Negative
Moderation
Violence
0.0250524288
OpenAI Moderation v1 (007)
Sexual
0.0069621223
OpenAI Moderation v1 (007)
Violence > Graphic
0.0060076571
OpenAI Moderation v1 (007)
Harassment
0.0059896203
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0054014901
OpenAI Moderation v1 (007)
Hate
0.000828147
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007164412
OpenAI Moderation v1 (007)
Self-Harm
0.0005123722
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002517128
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002315308
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.22376E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Macroeconomics
Score:
75.281
Magnitude:
22
Code:
1
Url:
https://fsc.al/cap-mc#1
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
64.7
Gunning-Fog Score
14.5
Coleman-Liau Index
7.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
7
Ted Kennedy
We might not have it perfect, Mr. President. But if you start balancing these various factors out -- this is just looking over the list. I was beginning to become convinced, until I started looking over the facts of this: 10.9 percent; three other States have lower numbers; 9.8 percent increase, and one of the fewest numbers.
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
0.252
Slightly Positive
Moderation
Violence
0.9720224887
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0106754429
OpenAI Moderation v1 (007)
Harassment
0.0106172811
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0045683893
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043045726
OpenAI Moderation v1 (007)
Sexual
0.0041479841
OpenAI Moderation v1 (007)
Self-Harm
0.003072507
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0030040548
OpenAI Moderation v1 (007)
Hate
0.0024732008
OpenAI Moderation v1 (007)
Hate > Threatening
0.000363085
OpenAI Moderation v1 (007)
Sexual > Minors
9.92902E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
88.057
Magnitude:
25
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.5
Flesch-Kincaid Ease
73.3
Gunning-Fog Score
7.7
Coleman-Liau Index
10.7
SMOG Index
8.2
Automated Readability Index
6.8
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
14
Ted Kennedy
Mr. President, we have tried. All right. Go back to the percent of income -- Utah is 15,000; Arkansas, 15,006; and, Utah 15,007 -- and we find that the income is virtually the same, one of the lowest numbers of poor children in Utah, one of the highest increases under the Bumpers formula.
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
-0.691
Very Negative
Moderation
Violence
0.0149056636
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038532573
OpenAI Moderation v1 (007)
Sexual
0.002005183
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006178466
OpenAI Moderation v1 (007)
Harassment
0.0001888093
OpenAI Moderation v1 (007)
Harassment > Threatening
7.44806E-5
OpenAI Moderation v1 (007)
Hate
1.98444E-5
OpenAI Moderation v1 (007)
Self-Harm
1.86007E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7689E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.8632E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.2918E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
83.5
Gunning-Fog Score
7.6
Coleman-Liau Index
6.4
SMOG Index
9
Automated Readability Index
3.1
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
13
Ted Kennedy
Yet, we see the dramatic reduction in the coverage of where the concentration of poor children are. As we have said, and as the Senator from Arkansas said, this is not a redistribution formula, this is not a redistribution; it is a program that should be targeted on the children, targeted on the cost of education, targeted on the efforts that are being made in those States to provide funding for the education, and targeted on the efforts of the State to reduce the disparity. Those are the factors that we have included in there. You can vary those to some extent. You can say "just poor children" and come out one way. It does seem to me that this is a balanced formula.
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
-0.735
Very Negative
Moderation
Harassment
0.0227282711
OpenAI Moderation v1 (007)
Violence
0.0017924105
OpenAI Moderation v1 (007)
Sexual
0.0005710647
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003743795
OpenAI Moderation v1 (007)
Hate
0.0002660832
OpenAI Moderation v1 (007)
Sexual > Minors
8.82918E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.78557E-5
OpenAI Moderation v1 (007)
Self-Harm
2.43152E-5
OpenAI Moderation v1 (007)
Violence > Graphic
2.24634E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0945E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.098E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.8
Flesch-Kincaid Ease
61.7
Gunning-Fog Score
13.4
Coleman-Liau Index
9.6
SMOG Index
12
Automated Readability Index
9.3
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
28
Sprache Difficult Word Count
24
Ted Kennedy
As I say, I regret the fact, and I wish we had additional kinds of resources to be able to deal with all of those. But, quite frankly, when you look at how the formula works in those particular instances -- and I did not have the chance to go through others, but I think there are others -- look at how it even works on Puerto Rico. Under this formula, Puerto Rico loses $12 million, and they have a child poverty rate of 66 percent, which is twice the rate of any State in the Union. I do not know how they fell through the cracks when you are talking about the number of poor children. But that is the effect. There are going to be more poor children that are going to be adversely affected under this program.
Sentiment
Loughran McDonald (Relative)
-0.5
Very Negative
Loughran McDonald (Absolute)
-0.5
Very Negative
Loughran McDonald (Logit)
-0.8473
Harvard-IV (Relative)
0.09091
Neutral
Harvard-IV (Absolute)
0.09091
Neutral
Harvard-IV (Logit)
0.16705
VADER
-0.964
Very Negative
Moderation
Violence
0.1330829342
OpenAI Moderation v1 (007)
Sexual
0.0331651798
OpenAI Moderation v1 (007)
Violence > Graphic
0.0270621036
OpenAI Moderation v1 (007)
Harassment
0.0084375199
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040391227
OpenAI Moderation v1 (007)
Hate
0.0039110771
OpenAI Moderation v1 (007)
Sexual > Minors
0.0028170603
OpenAI Moderation v1 (007)
Self-Harm
0.0007406644
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0004101269
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003834203
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002405639
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
22.813
Magnitude:
17
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.9
Flesch-Kincaid Ease
71.9
Gunning-Fog Score
12.1
Coleman-Liau Index
7.7
SMOG Index
11
Automated Readability Index
8.8
Dale-Chall Readability Score
3.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
25
Ted Kennedy
How much time do I have remaining?
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
0.0389828812
OpenAI Moderation v1 (007)
Violence
0.0033583787
OpenAI Moderation v1 (007)
Hate
0.0024073528
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0022456672
OpenAI Moderation v1 (007)
Sexual
0.0019997518
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019194427
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003407787
OpenAI Moderation v1 (007)
Self-Harm
0.0002665187
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.18317E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.39516E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.8338E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
8.5
Coleman-Liau Index
6.9
SMOG Index
9
Automated Readability Index
0.2
Dale-Chall Readability Score
2.6
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
The Presiding Officer
The PRESIDING OFFICER.
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
0.1061696792
OpenAI Moderation v1 (007)
Harassment
0.0552083366
OpenAI Moderation v1 (007)
Violence > Graphic
0.0460827665
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0152402266
OpenAI Moderation v1 (007)
Sexual
0.0034617748
OpenAI Moderation v1 (007)
Hate
0.0007284845
OpenAI Moderation v1 (007)
Self-Harm
0.0003311478
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002506849
OpenAI Moderation v1 (007)
Sexual > Minors
9.20698E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.15145E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.61186E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Ted Kennedy
I yield 5 minutes to the Senator from Iowa [Mr. Harkin].
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
1.3288671151
OpenAI Moderation v1 (007)
Harassment
0.1157973194
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0930910697
OpenAI Moderation v1 (007)
Violence > Graphic
0.0459924951
OpenAI Moderation v1 (007)
Hate
0.0221439826
OpenAI Moderation v1 (007)
Sexual
0.0062417501
OpenAI Moderation v1 (007)
Hate > Threatening
0.0050260442
OpenAI Moderation v1 (007)
Self-Harm
0.0011206442
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002062112
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.96657E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.36649E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
47.632
Magnitude:
11
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
75.5
Gunning-Fog Score
3.6
Coleman-Liau Index
5.8
SMOG Index
11.3
Automated Readability Index
0.3
Dale-Chall Readability Score
5.7
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Tom Harkin
I thank the chairman. There is one State the chairman left out. If this formula is so all-fired perfect, I say to my friend from Arkansas, here is New Hampshire with one of the lowest poverty rates -- 7 percent -- and they get an increase. If it is all-fired perfect, how come that happens?
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
0.7
Very Positive
Moderation
Violence
0.0236705207
OpenAI Moderation v1 (007)
Harassment
0.0233357336
OpenAI Moderation v1 (007)
Hate
0.0205737684
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040246967
OpenAI Moderation v1 (007)
Sexual
0.0035267316
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021660286
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002491676
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001986602
OpenAI Moderation v1 (007)
Self-Harm
0.0001043886
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.06084E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4312E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
24.573
Magnitude:
17
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.6
Flesch-Kincaid Ease
86.7
Gunning-Fog Score
7
Coleman-Liau Index
8
SMOG Index
8.2
Automated Readability Index
4.5
Dale-Chall Readability Score
4.4
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
11
Tom Harkin
To follow up with what the chairman said, the Senator from Arkansas leaves the implication out there that somehow the formula we came up with does not help poor States. Well, tell that to Mississippi. Mississippi, under the Pell-Kennedy formula, is better than current law -- not as good, obviously, as what the Senator from Mississippi wants, but it is better than current law; Louisiana, better than current law; West Virginia, better than current law; South Carolina, better than current law. These are all poor States. We just did not give as much as what the Senator from Arkansas wants.
Sentiment
Loughran McDonald (Relative)
0.66667
Very Positive
Loughran McDonald (Absolute)
0.66667
Very Positive
Loughran McDonald (Logit)
1.29928
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.926
Very Positive
Moderation
Violence
0.0337086618
OpenAI Moderation v1 (007)
Harassment
0.0294921716
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0228316785
OpenAI Moderation v1 (007)
Hate > Threatening
0.0161551026
OpenAI Moderation v1 (007)
Hate
0.014036322
OpenAI Moderation v1 (007)
Violence > Graphic
0.0080879123
OpenAI Moderation v1 (007)
Sexual
0.0043961216
OpenAI Moderation v1 (007)
Self-Harm
0.003801049
OpenAI Moderation v1 (007)
Sexual > Minors
0.000526986
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002198561
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.81682E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
10.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.8
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
19
Tom Harkin
Second, let us turn to this chart. I have been looking at this, and I was quite intrigued by it. I saw the big chart on the other side. I looked at the little one here with all these little black dots on it. I could not quite figure it out at first, but now I have it figured out. It is a very ingenious little chart, all these little black dots, with a lot in Arkansas and a lot in Mississippi. I looked down here at New Mexico and Arizona, and I saw big counties with these big black dots out there. I read what those black dots mean. It says "a distressed county with twice the U.S. poverty rate, low income and/or 3-year unemployment." So what could happen is you could have a county out here in West Virginia -- it is colored black there -- with twice the U.S. poverty rate -- I will take the extreme -- which might have two people living in the county. But you could have a county up here in Massachusetts, or in Chicago, and it could have 5,000 kids, maybe not twice the poverty rate but may be one-and-a-half times the poverty rate. It does not show up here. This chart is as phony as a $3 bill. It does not give you an indication of where the real need is, because you might have just a few people in one of those counties out there and, yet, you have high concentrations in New York, or Chicago, or Miami, or even, yes, Los Angeles, south Los Angeles. This chart really does not tell it all.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.41176
Negative
Harvard-IV (Absolute)
-0.41176
Negative
Harvard-IV (Logit)
-0.82098
VADER
-0.964
Very Negative
Moderation
Violence
0.5189272109
OpenAI Moderation v1 (007)
Sexual
0.2946521156
OpenAI Moderation v1 (007)
Hate > Threatening
0.1101567643
OpenAI Moderation v1 (007)
Harassment
0.0656715711
OpenAI Moderation v1 (007)
Hate
0.0649807218
OpenAI Moderation v1 (007)
Violence > Graphic
0.0601566979
OpenAI Moderation v1 (007)
Sexual > Minors
0.043920608
OpenAI Moderation v1 (007)
Self-Harm
0.0286066992
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0208389931
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0106516476
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0043364464
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
85.5
Gunning-Fog Score
7.3
Coleman-Liau Index
6.7
SMOG Index
9
Automated Readability Index
3.9
Dale-Chall Readability Score
2.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
31
Sprache Difficult Word Count
36
Tom Harkin
I believe the Pell-Kennedy formula is fair. It does not provide for these big swings in States, which this amendment will do. What the effect of this amendment, I fear, will be is that it will start to pit States against one another, with poor kids in one State against poor kids in another State. Hopefully, that is what we tried to fight against in the formula we came up with.
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
-0.586
Very Negative
Moderation
Violence
0.0759769056
OpenAI Moderation v1 (007)
Hate
0.0297267252
OpenAI Moderation v1 (007)
Harassment
0.0237400891
OpenAI Moderation v1 (007)
Violence > Graphic
0.0237085114
OpenAI Moderation v1 (007)
Sexual
0.0191919462
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0125498249
OpenAI Moderation v1 (007)
Sexual > Minors
0.0075884636
OpenAI Moderation v1 (007)
Hate > Threatening
0.0013951484
OpenAI Moderation v1 (007)
Self-Harm
0.0013196858
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.07162E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2413E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
6.8
Flesch-Kincaid Ease
78.1
Gunning-Fog Score
11.1
Coleman-Liau Index
8.6
SMOG Index
11.3
Automated Readability Index
7.1
Dale-Chall Readability Score
2.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Tom Harkin
Last, the Senator from Arkansas is a good pleader. If I ever have to go to court, I want him as my attorney. He makes a great argument. But if you look behind the argument, you have to ask yourself in these States: What is the State doing in its effort to equalize, to make sure that those areas of the State where they have high property taxes, high-income areas, where the State is saying you have a responsibility to fund other parts of the States, where we have low property taxes and poor people and low incomes? That is part of the formula we build in here, and I believe it is vital that we send that strong message to the States.
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
0.586
Very Positive
Moderation
Violence
0.015675051
OpenAI Moderation v1 (007)
Harassment
0.0117851989
OpenAI Moderation v1 (007)
Sexual
0.0035533438
OpenAI Moderation v1 (007)
Hate > Threatening
0.0034458855
OpenAI Moderation v1 (007)
Hate
0.0023625165
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0020202062
OpenAI Moderation v1 (007)
Self-Harm
0.0016590142
OpenAI Moderation v1 (007)
Violence > Graphic
0.0014507794
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002986427
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002500071
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.98041E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
69.8
Gunning-Fog Score
12.5
Coleman-Liau Index
7.9
SMOG Index
11.3
Automated Readability Index
10
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Tom Harkin
I yield the floor.
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
Violence
0.0230341713
OpenAI Moderation v1 (007)
Harassment
0.019342349
OpenAI Moderation v1 (007)
Hate
0.0095410811
OpenAI Moderation v1 (007)
Sexual
0.0060800805
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040921183
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007123317
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003988704
OpenAI Moderation v1 (007)
Hate > Threatening
7.20392E-5
OpenAI Moderation v1 (007)
Self-Harm
4.52731E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.54041E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.858E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.6
Coleman-Liau Index
4.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
4.1
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
The Presiding Officer
The PRESIDING OFFICER.
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 > Graphic
0.0476752117
OpenAI Moderation v1 (007)
Sexual
0.0379419973
OpenAI Moderation v1 (007)
Violence
0.0368037319
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046472051
OpenAI Moderation v1 (007)
Sexual > Minors
0.0034658537
OpenAI Moderation v1 (007)
Self-Harm
0.0020796017
OpenAI Moderation v1 (007)
Hate
0.0015840646
OpenAI Moderation v1 (007)
Harassment
0.0008680873
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001441789
OpenAI Moderation v1 (007)
Hate > Threatening
0.000130891
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0412E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
How much time do I have remaining?
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 > Graphic
0.0025673135
OpenAI Moderation v1 (007)
Violence
0.0024848394
OpenAI Moderation v1 (007)
Sexual
0.0018804001
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006361055
OpenAI Moderation v1 (007)
Harassment
0.0002927285
OpenAI Moderation v1 (007)
Hate
0.0001069502
OpenAI Moderation v1 (007)
Hate > Threatening
4.39395E-5
OpenAI Moderation v1 (007)
Sexual > Minors
4.30444E-5
OpenAI Moderation v1 (007)
Self-Harm
2.41815E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.6667E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.98E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
91
Gunning-Fog Score
8.5
Coleman-Liau Index
6.9
SMOG Index
9
Automated Readability Index
0.2
Dale-Chall Readability Score
2.6
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
The Presiding Officer
The PRESIDING OFFICER.
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
0.0236226566
OpenAI Moderation v1 (007)
Sexual
0.0192504827
OpenAI Moderation v1 (007)
Violence > Graphic
0.0072892901
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0069651898
OpenAI Moderation v1 (007)
Hate
0.0064139167
OpenAI Moderation v1 (007)
Harassment
0.0051968174
OpenAI Moderation v1 (007)
Hate > Threatening
0.0006623512
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005545638
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.89275E-5
OpenAI Moderation v1 (007)
Self-Harm
4.819E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.03772E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
42.5
Gunning-Fog Score
6.2
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
5.9
Dale-Chall Readability Score
5.5
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Dale Bumpers
Does the Senator from California wish to speak?
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
0.024107944
OpenAI Moderation v1 (007)
Sexual
0.0029270028
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0021739006
OpenAI Moderation v1 (007)
Violence > Graphic
0.0019486115
OpenAI Moderation v1 (007)
Harassment
0.0012480325
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003513504
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002671893
OpenAI Moderation v1 (007)
Hate
0.0001988005
OpenAI Moderation v1 (007)
Self-Harm
2.51596E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.7475E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.917E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
50.7
Gunning-Fog Score
3.2
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
5.5
Dale-Chall Readability Score
4.3
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Dianne Feinstein
I do. If there is time, I might speak at this time, or I will speak later.
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
0.0527214259
OpenAI Moderation v1 (007)
Harassment
0.048525614
OpenAI Moderation v1 (007)
Violence > Graphic
0.0202083189
OpenAI Moderation v1 (007)
Hate
0.0018930941
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0017968912
OpenAI Moderation v1 (007)
Sexual
0.0012222351
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004885907
OpenAI Moderation v1 (007)
Self-Harm
0.0001537653
OpenAI Moderation v1 (007)
Hate > Threatening
6.3255E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.80373E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.8417E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0.2
Flesch-Kincaid Ease
100
Gunning-Fog Score
3.4
Coleman-Liau Index
2.9
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
1.4
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
Dale Bumpers
You are opposed to the amendment, are you not?
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
Harassment
0.065231492
OpenAI Moderation v1 (007)
Violence
0.0518138229
OpenAI Moderation v1 (007)
Hate
0.0170797517
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060314051
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045980443
OpenAI Moderation v1 (007)
Sexual
0.0040628234
OpenAI Moderation v1 (007)
Self-Harm
0.0007265883
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004774045
OpenAI Moderation v1 (007)
Sexual > Minors
8.27258E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.21616E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.595E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5
Flesch-Kincaid Ease
75.5
Gunning-Fog Score
12.5
Coleman-Liau Index
7.7
SMOG Index
11.3
Automated Readability Index
1.9
Dale-Chall Readability Score
4
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
2
Dianne Feinstein
That is correct.
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)
1.09861
VADER
0
Neutral
Moderation
Violence
0.0228688456
OpenAI Moderation v1 (007)
Sexual
0.0130571323
OpenAI Moderation v1 (007)
Harassment
0.0037303278
OpenAI Moderation v1 (007)
Hate
0.0031808951
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0024339437
OpenAI Moderation v1 (007)
Sexual > Minors
0.002206044
OpenAI Moderation v1 (007)
Violence > Graphic
0.0018624994
OpenAI Moderation v1 (007)
Hate > Threatening
0.000417004
OpenAI Moderation v1 (007)
Self-Harm
7.3757E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.8283E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.947E-6
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
0.1
Sprache Readability Score
1.1
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
1
Ted Kennedy
How much time do I have?
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
0.2238615416
OpenAI Moderation v1 (007)
Violence > Graphic
0.0304674002
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060064373
OpenAI Moderation v1 (007)
Sexual
0.0037450096
OpenAI Moderation v1 (007)
Self-Harm
0.0025769463
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004565251
OpenAI Moderation v1 (007)
Harassment
0.0004385995
OpenAI Moderation v1 (007)
Hate
0.0003091351
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003083642
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002724659
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.26927E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
The Presiding Officer
The PRESIDING OFFICER.
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
0.0258750602
OpenAI Moderation v1 (007)
Sexual
0.0171018168
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0169852792
OpenAI Moderation v1 (007)
Harassment
0.0030755884
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015530086
OpenAI Moderation v1 (007)
Hate
0.0006235338
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001512728
OpenAI Moderation v1 (007)
Hate > Threatening
7.39799E-5
OpenAI Moderation v1 (007)
Self-Harm
4.6292E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.55757E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7368E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Civil Rights
Score:
39.741
Magnitude:
5
Code:
2
Url:
https://fsc.al/cap-mc#2
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
70.7
Gunning-Fog Score
1.8
Coleman-Liau Index
9.7
SMOG Index
10.3
Automated Readability Index
1.2
Dale-Chall Readability Score
3.7
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Ted Kennedy
I yield 7 minutes to the Senator from California.
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
0.065231492
OpenAI Moderation v1 (007)
Violence
0.0518138229
OpenAI Moderation v1 (007)
Hate
0.0170797517
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060314051
OpenAI Moderation v1 (007)
Violence > Graphic
0.0045980443
OpenAI Moderation v1 (007)
Sexual
0.0040628234
OpenAI Moderation v1 (007)
Self-Harm
0.0007265883
OpenAI Moderation v1 (007)
Hate > Threatening
0.0004774045
OpenAI Moderation v1 (007)
Sexual > Minors
8.27258E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.21616E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.595E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
49.529
Magnitude:
28
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
3.6
Coleman-Liau Index
9.7
SMOG Index
11.3
Automated Readability Index
3.5
Dale-Chall Readability Score
5.7
Sprache Readability Score
2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
Dianne Feinstein
Mr. President, I understand the emotion and the passion behind the comments of the Senator from Arkansas, and I must say I feel some emotion and some passion about this subject, too. As a matter of fact, I had my staff pull the text of Ecclesiastes, Chapter III, which says there is a point in time for everything, and a time for every affair under the Heavens. It goes on to say that there is a time to be born and a time to die, a time to plant and a time to uproot the plant.
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
0.599
Very Positive
Moderation
Harassment
0.3831724636
OpenAI Moderation v1 (007)
Hate
0.0761334144
OpenAI Moderation v1 (007)
Sexual
0.0093010844
OpenAI Moderation v1 (007)
Violence
0.0091583817
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010679802
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004563828
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001503313
OpenAI Moderation v1 (007)
Self-Harm
0.000125346
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.19488E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.4308E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.536E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
35.464
Magnitude:
14
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.7
Flesch-Kincaid Ease
67.9
Gunning-Fog Score
12.5
Coleman-Liau Index
6.9
SMOG Index
12
Automated Readability Index
8.8
Dale-Chall Readability Score
3.8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Dianne Feinstein
I think that tonight is the time really to join the fight on chapter I, because I am one of those that joins Senator Bumpers in a dissatisfaction over chapter I. I would like to, hopefully, without too much passion and emotion, make the case, because the way I look at it, it comes down to one basic elemental truth: a poor child is a poor child. You can have redundant factors, and you can have hold-harmless formulas, but if the money does not follow the poor children of the Nation, an enormous disservice is done. And the money does not follow the poor children of the Nation under the Kennedy-Pell formula.
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)
0.99853
VADER
0.139
Leans Positive
Moderation
Violence
0.0395512034
OpenAI Moderation v1 (007)
Harassment
0.0219463385
OpenAI Moderation v1 (007)
Sexual
0.0202084935
OpenAI Moderation v1 (007)
Violence > Graphic
0.0137102485
OpenAI Moderation v1 (007)
Hate
0.0016071921
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011153036
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005088505
OpenAI Moderation v1 (007)
Self-Harm
0.0002528065
OpenAI Moderation v1 (007)
Hate > Threatening
5.5155E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.2763E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.068E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.904
Magnitude:
23
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
56.9
Gunning-Fog Score
15.3
Coleman-Liau Index
9.2
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
21
Dianne Feinstein
As Senator Kennedy pointed out, my State has the largest number of poor children in the Nation -- 969,762 poor children. Yet, we are a high- cost State, not a poor State. And there are pockets of poverty all over the State. A poor child in California, under the Pell-Kennedy formula, would get $783. A poor child in Connecticut -- and a poor child is a poor child -- would get $1,025. A poor child in Massachusetts, $1,024. A poor child in New York, $1,082. A poor child is a poor child. A poor child in Rhode Island, $1,064. In Connecticut, there are 53,000 poor children. In Massachusetts, there are 120,570. In New York, there are 597,134. In Rhode Island, there are 20,539.
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)
-2.3979
VADER
-0.99
Very Negative
Moderation
Harassment
0.1166795264
OpenAI Moderation v1 (007)
Violence
0.0362123013
OpenAI Moderation v1 (007)
Sexual
0.0035823461
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018642517
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016799293
OpenAI Moderation v1 (007)
Hate
0.0016758828
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003002679
OpenAI Moderation v1 (007)
Self-Harm
0.0001360532
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.44124E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.07583E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.3115E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
1.8
Flesch-Kincaid Ease
99.7
Gunning-Fog Score
4.6
Coleman-Liau Index
5.1
SMOG Index
8.3
Automated Readability Index
0.3
Dale-Chall Readability Score
2.7
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Dianne Feinstein
My point is that the money does not follow the poor children, and that is the flaw with whatever formula any committee comes up with. The time has come to change the formula. In Texas, it is $729 a poor child, not $1,000, with 803,000 poor children.
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
-0.679
Very Negative
Moderation
Violence
0.0770652201
OpenAI Moderation v1 (007)
Harassment
0.0539622852
OpenAI Moderation v1 (007)
Violence > Graphic
0.0106118561
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0089586858
OpenAI Moderation v1 (007)
Sexual
0.0050832743
OpenAI Moderation v1 (007)
Hate
0.0033391949
OpenAI Moderation v1 (007)
Self-Harm
0.0003591555
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001610655
OpenAI Moderation v1 (007)
Hate > Threatening
2.13238E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.52329E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.807E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.7
Flesch-Kincaid Ease
90.1
Gunning-Fog Score
9.8
Coleman-Liau Index
5.7
SMOG Index
9.9
Automated Readability Index
3.9
Dale-Chall Readability Score
2.7
Sprache Readability Score
3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
5
Dianne Feinstein
So my State loses $21 million, a State that has a deficit of $5 billion, that cannot raise local taxes because of proposition 13, that has a budget deficit that is $5 billion in debt, and that spends 40 percent of its budget on the education of children.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.94591
Harvard-IV (Relative)
-0.66667
Very Negative
Harvard-IV (Absolute)
-0.66667
Very Negative
Harvard-IV (Logit)
-1.29928
VADER
-0.859
Very Negative
Moderation
Violence
0.0432887668
OpenAI Moderation v1 (007)
Harassment
0.0214609274
OpenAI Moderation v1 (007)
Violence > Graphic
0.0066052591
OpenAI Moderation v1 (007)
Sexual
0.0012244529
OpenAI Moderation v1 (007)
Hate
0.0012052526
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004218237
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003612731
OpenAI Moderation v1 (007)
Self-Harm
4.09198E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.19769E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.8963E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.045E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.3
Gunning-Fog Score
19
Coleman-Liau Index
7.6
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.3
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
13
Dianne Feinstein
So the more children you have that are poor, the more you are disadvantaged under this formula. It is just fact. It happens that way. You can add cost, you can add effort, you can put redundancy on redundancy, and all it does is keep money from where the poor children are in the Nation and where they are moving. The fact is poor children move.
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)
-2.19722
VADER
-0.906
Very Negative
Moderation
Violence
0.0179340452
OpenAI Moderation v1 (007)
Harassment
0.0172455926
OpenAI Moderation v1 (007)
Sexual
0.0020944492
OpenAI Moderation v1 (007)
Violence > Graphic
0.001369719
OpenAI Moderation v1 (007)
Hate
0.0013098658
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009647488
OpenAI Moderation v1 (007)
Sexual > Minors
5.86132E-5
OpenAI Moderation v1 (007)
Self-Harm
1.92276E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.80744E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.0445E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.41E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.9
Flesch-Kincaid Ease
83.2
Gunning-Fog Score
7.7
Coleman-Liau Index
8.4
SMOG Index
8.4
Automated Readability Index
4.5
Dale-Chall Readability Score
2.1
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Dianne Feinstein
That is what appeared to me last year when Senator Kennedy and I entered into a colloquy, and this year the proposal is going to be worse. Only 2 percent of chapter 1 funds go to school districts in which more than 75 percent of students are poor. Less than half of chapter 1 funds goes to schools considered to be high poverty areas.
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
-0.859
Very Negative
Moderation
Violence
0.0397847878
OpenAI Moderation v1 (007)
Violence > Graphic
0.0264575647
OpenAI Moderation v1 (007)
Sexual
0.0072489885
OpenAI Moderation v1 (007)
Harassment
0.0009439342
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006031344
OpenAI Moderation v1 (007)
Hate
0.0004400933
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002895997
OpenAI Moderation v1 (007)
Self-Harm
8.65748E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.30722E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.98897E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.1963E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8
Flesch-Kincaid Ease
75.5
Gunning-Fog Score
11
Coleman-Liau Index
8.3
SMOG Index
11.3
Automated Readability Index
8.5
Dale-Chall Readability Score
5.5
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
17
Dianne Feinstein
We will receive 11 percent of all chapter 1 grants, $667 million out of $6.3 billion. While the number of poor children in my State grew by almost 250,000 children, almost 40 percent between 1980 and 1990, there was no adjustment in California's allocation for 13 years or any other States. For California the failure to use updated data cost $126 million in 1993 and cost growth States a total of over $400 million in that year alone.
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
-0.7
Very Negative
Moderation
Violence > Graphic
0.0027865844
OpenAI Moderation v1 (007)
Violence
0.0017841921
OpenAI Moderation v1 (007)
Harassment
0.0002081102
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001286603
OpenAI Moderation v1 (007)
Sexual
0.0001159314
OpenAI Moderation v1 (007)
Hate
3.19858E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.0571E-6
OpenAI Moderation v1 (007)
Self-Harm
7.6248E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.4687E-6
OpenAI Moderation v1 (007)
Sexual > Minors
9.655E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.456E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
66.6
Gunning-Fog Score
14.1
Coleman-Liau Index
7.2
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
4.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
17
Dianne Feinstein
The money does not follow the child. A poor child is a poor child. The money should be directed on an absolute formula grant as to where the poor children really are in this Nation, and they should follow those children. It should be updated periodically. It should not have to wait 10 years or 13 years. If we follow this same rationale, by the year 2000 there is going to be enormous discrepancy -- if we follow this same formula.
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
-0.778
Very Negative
Moderation
Violence
0.0434465823
OpenAI Moderation v1 (007)
Hate
0.0184303484
OpenAI Moderation v1 (007)
Violence > Graphic
0.0081197897
OpenAI Moderation v1 (007)
Harassment
0.0072818984
OpenAI Moderation v1 (007)
Self-Harm
0.0015592357
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001155173
OpenAI Moderation v1 (007)
Harassment > Threatening
0.001012973
OpenAI Moderation v1 (007)
Sexual
0.0003354106
OpenAI Moderation v1 (007)
Hate > Threatening
4.72319E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.05625E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.8621E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
77
Gunning-Fog Score
10.3
Coleman-Liau Index
8.8
SMOG Index
10.6
Automated Readability Index
4.9
Dale-Chall Readability Score
2.8
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Dianne Feinstein
So, I would like to just point out a couple of things in my State that are going to happen. This is a projected increase between 1990 and 2005. We will have a greater than 40 percent increase in poor children in these areas; San Diego, San Bernadino, Riverside, the Los Angeles area, in the entire central valley, Fresno. More and more by then, California will be dominantly people of color, poor -- which already is happening -- more and more immigrants, more and more illegal immigrants.
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
-0.313
Somewhat Negative
Moderation
Violence > Graphic
0.0584439898
OpenAI Moderation v1 (007)
Violence
0.0105947074
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0032530446
OpenAI Moderation v1 (007)
Sexual
0.001666308
OpenAI Moderation v1 (007)
Harassment
0.0005802175
OpenAI Moderation v1 (007)
Self-Harm
0.0004754944
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002104553
OpenAI Moderation v1 (007)
Hate
4.85803E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.72748E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.35579E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0685E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
65.613
Magnitude:
82
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.9
Flesch-Kincaid Ease
61.8
Gunning-Fog Score
11.8
Coleman-Liau Index
10.2
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
5.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
24
Sprache Difficult Word Count
22
Dianne Feinstein
In the areas that are slashed diagonally, there will be a 25 percent to 40 percent increase, and in the areas this way a 25 percent increase in poor children.
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
-0.103
Leans Negative
Moderation
Violence
0.0208211786
OpenAI Moderation v1 (007)
Sexual
0.0153951798
OpenAI Moderation v1 (007)
Harassment
0.0097429016
OpenAI Moderation v1 (007)
Violence > Graphic
0.0087894048
OpenAI Moderation v1 (007)
Hate
0.0031925068
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027750275
OpenAI Moderation v1 (007)
Self-Harm
0.0010688077
OpenAI Moderation v1 (007)
Sexual > Minors
0.000610631
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003416267
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.44259E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.0062E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
30.7
Magnitude:
51
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.8
Flesch-Kincaid Ease
63.6
Gunning-Fog Score
13.3
Coleman-Liau Index
7.8
SMOG Index
9
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
5
Dianne Feinstein
So the situation is only going to compound dramatically under Kennedy-Pell in terms of numbers.
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
0.0600478845
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0060923849
OpenAI Moderation v1 (007)
Sexual
0.0050309354
OpenAI Moderation v1 (007)
Sexual > Minors
0.0023445611
OpenAI Moderation v1 (007)
Violence > Graphic
0.0021799317
OpenAI Moderation v1 (007)
Harassment
0.0015643547
OpenAI Moderation v1 (007)
Hate
0.0013865919
OpenAI Moderation v1 (007)
Self-Harm
0.0012356285
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000494775
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001451578
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7602E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.002
Magnitude:
77
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.3
Gunning-Fog Score
11.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
5.7
Sprache Readability Score
3.2
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Dianne Feinstein
The difference in per-pupil resources is created by something in the chapter 1 formula called the cost factor, and that raises or lowers State allocations by up to 20 percent. As an example of one of the school districts getting the less funding -- --
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)
-0.58779
VADER
0.128
Leans Positive
Moderation
Violence > Graphic
0.032889453
OpenAI Moderation v1 (007)
Violence
0.0277282088
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0057833582
OpenAI Moderation v1 (007)
Sexual
0.0012032278
OpenAI Moderation v1 (007)
Harassment
0.0005112817
OpenAI Moderation v1 (007)
Self-Harm
0.000125084
OpenAI Moderation v1 (007)
Sexual > Minors
9.88234E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.34506E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.88772E-5
OpenAI Moderation v1 (007)
Hate
1.29155E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.2286E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
79.174
Magnitude:
23
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.4
Flesch-Kincaid Ease
59.5
Gunning-Fog Score
14.3
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
10.7
Dale-Chall Readability Score
6.1
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
19
The PRESIDING OFFICER (Mr. Robb). The time yielded to the Senator from California has expired.
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 > Graphic
0.0510478567
OpenAI Moderation v1 (007)
Violence
0.0314339617
OpenAI Moderation v1 (007)
Sexual
0.0056132216
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011961937
OpenAI Moderation v1 (007)
Harassment
0.0006106374
OpenAI Moderation v1 (007)
Hate
0.000425793
OpenAI Moderation v1 (007)
Self-Harm
0.0001115167
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001016558
OpenAI Moderation v1 (007)
Hate > Threatening
4.99869E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.85697E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.9958E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
49.5
Gunning-Fog Score
2
Coleman-Liau Index
12
SMOG Index
9.9
Automated Readability Index
4.6
Dale-Chall Readability Score
7.6
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Dianne Feinstein
Is it possible to have yielded a few more minutes?
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
0.2180494834
OpenAI Moderation v1 (007)
Hate
0.1792476629
OpenAI Moderation v1 (007)
Violence > Graphic
0.0557773747
OpenAI Moderation v1 (007)
Harassment
0.0473434455
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0342935906
OpenAI Moderation v1 (007)
Sexual
0.0146380189
OpenAI Moderation v1 (007)
Hate > Threatening
0.003049115
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022916753
OpenAI Moderation v1 (007)
Self-Harm
0.0004211805
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.79452E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.5781E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.8
Flesch-Kincaid Ease
78.2
Gunning-Fog Score
8
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
2.4
Dale-Chall Readability Score
2.1
Sprache Readability Score
2
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Ted Kennedy
I had thought the Senator was going to speak in opposition to the Bumpers amendment, mistakenly. I have others who want to address that.
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
-0.226
Slightly Negative
Moderation
Violence
0.0701403944
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070222784
OpenAI Moderation v1 (007)
Harassment
0.0047065132
OpenAI Moderation v1 (007)
Sexual
0.0023449278
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017201428
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008484562
OpenAI Moderation v1 (007)
Self-Harm
0.0003757508
OpenAI Moderation v1 (007)
Hate
9.28556E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.60434E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.4365E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.04E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.3
Flesch-Kincaid Ease
64.2
Gunning-Fog Score
9.8
Coleman-Liau Index
11.2
SMOG Index
11.3
Automated Readability Index
6.2
Dale-Chall Readability Score
4.5
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
7
Ted Kennedy
I think in fairness to those, particularly since those States are going to be affected, maybe the Senator from Arkansas will yield time.
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
-0.153
Leans Negative
Moderation
Violence
0.0185629571
OpenAI Moderation v1 (007)
Violence > Graphic
0.0166569836
OpenAI Moderation v1 (007)
Sexual
0.0047308979
OpenAI Moderation v1 (007)
Harassment
0.0022373881
OpenAI Moderation v1 (007)
Hate
0.0004597654
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003180433
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002542005
OpenAI Moderation v1 (007)
Hate > Threatening
4.97373E-5
OpenAI Moderation v1 (007)
Self-Harm
1.5068E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.9385E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.235E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.3
Flesch-Kincaid Ease
54.8
Gunning-Fog Score
12.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.3
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Dianne Feinstein
That is fine. I have all night. I can wait.
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
0.202
Slightly Positive
Moderation
Sexual
0.011564642
OpenAI Moderation v1 (007)
Violence
0.0089495916
OpenAI Moderation v1 (007)
Harassment
0.0068681547
OpenAI Moderation v1 (007)
Violence > Graphic
0.0025656516
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012028618
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004435483
OpenAI Moderation v1 (007)
Hate
0.0003649965
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001005624
OpenAI Moderation v1 (007)
Self-Harm
3.78591E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.7486E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.515E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1.3
Coleman-Liau Index
2.4
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
Dianne Feinstein
I thank the Senator very much.
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
0.0051037088
OpenAI Moderation v1 (007)
Violence
0.0036182282
OpenAI Moderation v1 (007)
Harassment > Threatening
0.00193344
OpenAI Moderation v1 (007)
Hate
0.0015490195
OpenAI Moderation v1 (007)
Sexual
0.0006271574
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004548746
OpenAI Moderation v1 (007)
Hate > Threatening
7.319E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.64711E-5
OpenAI Moderation v1 (007)
Self-Harm
1.96277E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.1866E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.527E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.5
Flesch-Kincaid Ease
73.8
Gunning-Fog Score
2.4
Coleman-Liau Index
7.7
SMOG Index
9
Automated Readability Index
0.4
Dale-Chall Readability Score
2.9
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
1
The Presiding Officer
The PRESIDING OFFICER.
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
0.0374657189
OpenAI Moderation v1 (007)
Sexual
0.0086633125
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0033269924
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009640801
OpenAI Moderation v1 (007)
Harassment
0.0005002855
OpenAI Moderation v1 (007)
Hate > Threatening
0.0003453702
OpenAI Moderation v1 (007)
Self-Harm
0.000213919
OpenAI Moderation v1 (007)
Hate
8.83052E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.71072E-5
OpenAI Moderation v1 (007)
Sexual > Minors
5.435E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.76617E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
How much time do I have?
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
0.0143434969
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0069794653
OpenAI Moderation v1 (007)
Harassment
0.0039180279
OpenAI Moderation v1 (007)
Self-Harm
0.0038601534
OpenAI Moderation v1 (007)
Violence
0.0032601318
OpenAI Moderation v1 (007)
Hate
0.0025615345
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0023415736
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002555824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002203309
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000132532
OpenAI Moderation v1 (007)
Hate > Threatening
2.15085E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.4
Coleman-Liau Index
1.8
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
0.3
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
0
Sprache Difficult Word Count
0
Dale Bumpers
Does the Senator have someone who wishes to speak?
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 Positive
Moderation
Sexual
0.0809407211
OpenAI Moderation v1 (007)
Violence
0.0165272708
OpenAI Moderation v1 (007)
Harassment
0.0123610094
OpenAI Moderation v1 (007)
Self-Harm
0.0094284333
OpenAI Moderation v1 (007)
Hate
0.0066019711
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065566848
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0061640785
OpenAI Moderation v1 (007)
Sexual > Minors
0.0022598657
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0012496522
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002491312
OpenAI Moderation v1 (007)
Hate > Threatening
2.17042E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.6
Flesch-Kincaid Ease
56.7
Gunning-Fog Score
12.5
Coleman-Liau Index
11
SMOG Index
12
Automated Readability Index
4.5
Dale-Chall Readability Score
2.2
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
1
Sprache Difficult Word Count
2
Ted Kennedy
Senator Jeffords wished to speak. I yield 5 minutes.
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
0.0165039324
OpenAI Moderation v1 (007)
Sexual
0.0050464605
OpenAI Moderation v1 (007)
Violence > Graphic
0.0047352263
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007533031
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006229929
OpenAI Moderation v1 (007)
Harassment
0.0003702293
OpenAI Moderation v1 (007)
Self-Harm
5.03482E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.60109E-5
OpenAI Moderation v1 (007)
Hate
2.58525E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.1891E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.323E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
3.2
Flesch-Kincaid Ease
80.1
Gunning-Fog Score
1.8
Coleman-Liau Index
11
SMOG Index
7.3
Automated Readability Index
2.3
Dale-Chall Readability Score
7.2
Sprache Readability Score
1.5
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
4
The Presiding Officer
The PRESIDING OFFICER.
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
-0.202
Slightly Negative
Moderation
Violence
0.0053504493
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0018146286
OpenAI Moderation v1 (007)
Sexual
0.0003435304
OpenAI Moderation v1 (007)
Self-Harm
0.0002522203
OpenAI Moderation v1 (007)
Harassment
0.000119985
OpenAI Moderation v1 (007)
Violence > Graphic
9.74549E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.57126E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.63756E-5
OpenAI Moderation v1 (007)
Hate
5.17917E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.87486E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.10508E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
8.1
Flesch-Kincaid Ease
60.2
Gunning-Fog Score
6.7
Coleman-Liau Index
11.8
SMOG Index
12
Automated Readability Index
7.2
Dale-Chall Readability Score
4.9
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
7
Jim Jeffords
Mr. President, I rise in support of the title 1 formula.
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
0.402
Positive
Moderation
Violence
0.0111518697
OpenAI Moderation v1 (007)
Harassment
0.006644478
OpenAI Moderation v1 (007)
Sexual
0.0047597281
OpenAI Moderation v1 (007)
Hate
0.0022802737
OpenAI Moderation v1 (007)
Violence > Graphic
0.001568741
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002594958
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000119327
OpenAI Moderation v1 (007)
Hate > Threatening
4.0678E-6
OpenAI Moderation v1 (007)
Self-Harm
3.8926E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.418E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.18E-8
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
2.6
Flesch-Kincaid Ease
85.9
Gunning-Fog Score
5.8
Coleman-Liau Index
6.6
SMOG Index
7.3
Automated Readability Index
0
Dale-Chall Readability Score
6
Sprache Readability Score
1.8
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
6
Jim Jeffords
Vermont really does not have anything to gain or lose by either formula. We are going to get the same amount under the Bumpers-Cochran as we did under the Kennedy formula, the committee formula.
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)
-1.60944
VADER
0.178
Leans Positive
Moderation
Violence
0.1546485815
OpenAI Moderation v1 (007)
Violence > Graphic
0.0682103331
OpenAI Moderation v1 (007)
Harassment
0.0059200749
OpenAI Moderation v1 (007)
Hate
0.0038669736
OpenAI Moderation v1 (007)
Sexual
0.0028861879
OpenAI Moderation v1 (007)
Self-Harm
0.000360016
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003319209
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002717214
OpenAI Moderation v1 (007)
Hate > Threatening
4.02836E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.26219E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1468E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
53.7
Gunning-Fog Score
13.9
Coleman-Liau Index
10.6
SMOG Index
12
Automated Readability Index
8.4
Dale-Chall Readability Score
4.5
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
12
Jim Jeffords
But I believe that it is important for those of us on the committee to take a look at the problems and priorities of the Nation on a more global scale and put regional differences aside.
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
-0.226
Slightly Negative
Moderation
Violence
0.0033239863
OpenAI Moderation v1 (007)
Violence > Graphic
0.0031464471
OpenAI Moderation v1 (007)
Sexual
0.0006745279
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002542858
OpenAI Moderation v1 (007)
Harassment
0.0001113562
OpenAI Moderation v1 (007)
Self-Harm
9.57881E-5
OpenAI Moderation v1 (007)
Hate
7.01102E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.77361E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.67604E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.5301E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8829E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.7
Gunning-Fog Score
19
Coleman-Liau Index
8.7
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
8
Jim Jeffords
The formula we are considering today is a result of 2 years of investigation on the part of the committee, 2 years of crafting a formula which incorporates and combines suggestions from policy experts, children advocates, the administration, the General Accounting Office, and others, and represents a constructive new direction for Federal chapter 1 funding.
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
Neutral
Moderation
Sexual
0.0897624064
OpenAI Moderation v1 (007)
Violence
0.042613715
OpenAI Moderation v1 (007)
Sexual > Minors
0.0235795422
OpenAI Moderation v1 (007)
Harassment
0.0175625304
OpenAI Moderation v1 (007)
Violence > Graphic
0.016172968
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046595462
OpenAI Moderation v1 (007)
Hate
8.85266E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.76812E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.83978E-5
OpenAI Moderation v1 (007)
Self-Harm
1.13999E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.917E-6
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
8.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
21
Jim Jeffords
Most importantly, the committee formula represents an intricate balance between several interrelated factors; State poverty, the cost of providing educational services, State tax efforts for education, and the degree to which a State has equalized funding across State lines. This last factor I consider particularly important.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.27273
Slightly Positive
Harvard-IV (Absolute)
0.27273
Slightly Positive
Harvard-IV (Logit)
0.51083
VADER
0.233
Slightly Positive
Moderation
Sexual
0.0146149934
OpenAI Moderation v1 (007)
Sexual > Minors
0.0099575693
OpenAI Moderation v1 (007)
Violence
0.0067802313
OpenAI Moderation v1 (007)
Violence > Graphic
0.0065578359
OpenAI Moderation v1 (007)
Harassment
0.0014644703
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002207362
OpenAI Moderation v1 (007)
Hate
5.9981E-6
OpenAI Moderation v1 (007)
Self-Harm
2.6076E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3519E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.4326E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.551E-7
OpenAI Moderation v1 (007)
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
8
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
23
Jim Jeffords
I urge my colleagues not to tinker with one part of the formula, for it will affect the delicate balance that has been created.
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
0.296
Slightly Positive
Moderation
Harassment
0.1250782283
OpenAI Moderation v1 (007)
Sexual
0.0034111723
OpenAI Moderation v1 (007)
Violence > Graphic
0.0027246348
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025315505
OpenAI Moderation v1 (007)
Violence
0.0021608934
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019283945
OpenAI Moderation v1 (007)
Hate
0.000889314
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0007398703
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001581253
OpenAI Moderation v1 (007)
Self-Harm
4.5664E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.5945E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11
Flesch-Kincaid Ease
59.1
Gunning-Fog Score
14.6
Coleman-Liau Index
9.2
SMOG Index
12
Automated Readability Index
10.6
Dale-Chall Readability Score
6.5
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Jim Jeffords
The formula recognizes that it costs more to educate poor children when they attend schools which have high numbers of concentration of poor students and provides grants up to 40 percent higher to serve students in those types of schools. It recognizes that the cost of providing educational services to children also varies from State to State on account of cost-of-living differences between those States and the cost-of-education difference between those States.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.06667
Neutral
Harvard-IV (Absolute)
-0.06667
Neutral
Harvard-IV (Logit)
-0.12516
VADER
-0.68
Very Negative
Moderation
Sexual
0.0097247736
OpenAI Moderation v1 (007)
Harassment
0.0056563265
OpenAI Moderation v1 (007)
Sexual > Minors
0.0015449963
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010811515
OpenAI Moderation v1 (007)
Violence
0.0007510686
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002552134
OpenAI Moderation v1 (007)
Hate
0.0001672801
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.20693E-5
OpenAI Moderation v1 (007)
Self-Harm
3.32086E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.4326E-6
OpenAI Moderation v1 (007)
Hate > Threatening
1.4009E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
20.803
Magnitude:
144
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.8
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
22
Jim Jeffords
Furthermore, for the first time, the formula provides rewards and incentives to those States which carry a high tax burden for education, and to those states which have achieved a sufficient degree of equity in funding for public schools across the State. And that has been a very severe national problem. We should reward those States that have tried to do something about the equalization of funding among the States.
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
0.088
Neutral
Moderation
Sexual
0.0276822189
OpenAI Moderation v1 (007)
Harassment
0.0076604578
OpenAI Moderation v1 (007)
Violence
0.0031307634
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021836644
OpenAI Moderation v1 (007)
Violence > Graphic
0.0007292345
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0006662785
OpenAI Moderation v1 (007)
Hate
0.0001628241
OpenAI Moderation v1 (007)
Self-Harm
3.23427E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.51585E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.8514E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.5261E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.497
Magnitude:
80
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
13.9
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
17
Sprache Difficult Word Count
19
Jim Jeffords
No formula will account for the needs of every State. I think the chairman did an excellent job crafting a formula that puts policy before politics, and in doing so sets a bold and positive new policy for Federal education funding.
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)
1.29928
VADER
0.727
Very Positive
Moderation
Sexual
0.1468997332
OpenAI Moderation v1 (007)
Harassment
0.0708266045
OpenAI Moderation v1 (007)
Sexual > Minors
0.0601759937
OpenAI Moderation v1 (007)
Violence
0.0091977832
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003185017
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012560636
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0006436889
OpenAI Moderation v1 (007)
Hate
0.0006092037
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0005365333
OpenAI Moderation v1 (007)
Self-Harm
0.0005226268
OpenAI Moderation v1 (007)
Hate > Threatening
1.77132E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.21
Magnitude:
64
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
17
Coleman-Liau Index
11.2
SMOG Index
12
Automated Readability Index
10.4
Dale-Chall Readability Score
6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Jim Jeffords
Let me just make a few points about the competing formula which has been advocated here by Senators Bumpers and Cochran. This formula ignores the effort and equity factors put forward by the committee. As I said, these are very important factors for a new formula, factors which I believe represent a constructive new Federal policy.
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)
0.61904
VADER
-0.009
Neutral
Moderation
Violence
0.0766732148
OpenAI Moderation v1 (007)
Violence > Graphic
0.0382616941
OpenAI Moderation v1 (007)
Sexual
0.0204818556
OpenAI Moderation v1 (007)
Harassment
0.0052598676
OpenAI Moderation v1 (007)
Sexual > Minors
0.0035475539
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0013228335
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003460405
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001507989
OpenAI Moderation v1 (007)
Hate
9.77026E-5
OpenAI Moderation v1 (007)
Self-Harm
6.46933E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.18521E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.586
Magnitude:
104
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
44.4
Gunning-Fog Score
15.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
6.3
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
16
Jim Jeffords
In the committee formula, States are rewarded when they show a high fiscal effort to support education, regardless of their wealth. States are rewarded when they have made progress towards equalizing funding across district lines.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.95551
VADER
0.934
Very Positive
Moderation
Violence
0.2005570102
OpenAI Moderation v1 (007)
Violence > Graphic
0.0455936824
OpenAI Moderation v1 (007)
Harassment
0.0407327432
OpenAI Moderation v1 (007)
Sexual > Minors
0.029654117
OpenAI Moderation v1 (007)
Sexual
0.0045522811
OpenAI Moderation v1 (007)
Self-Harm
0.0025942409
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011270769
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0011150601
OpenAI Moderation v1 (007)
Hate
0.0009212999
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004770277
OpenAI Moderation v1 (007)
Hate > Threatening
9.4289E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.374
Magnitude:
64
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
46.5
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.2
Sprache Readability Score
4
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
15
Jim Jeffords
My State and many States will tell you it is incredibly difficult, and we failed this year in our effort to make our system better. The formula we are debating now will eliminate the factors and, in my mind, will be a significant step backward in developing a formula for the future.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.2
Slightly Negative
Harvard-IV (Absolute)
-0.2
Slightly Negative
Harvard-IV (Logit)
-0.36772
VADER
-0.332
Somewhat Negative
Moderation
Violence
0.0492591585
OpenAI Moderation v1 (007)
Violence > Graphic
0.0362637249
OpenAI Moderation v1 (007)
Harassment
0.008406664
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0081202001
OpenAI Moderation v1 (007)
Hate
0.0007409463
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0003441265
OpenAI Moderation v1 (007)
Hate > Threatening
0.000326799
OpenAI Moderation v1 (007)
Sexual
0.0001662703
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001133663
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.29268E-5
OpenAI Moderation v1 (007)
Self-Harm
2.87824E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.548
Magnitude:
209
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
51.9
Gunning-Fog Score
16.6
Coleman-Liau Index
9.9
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
14
Jim Jeffords
While no formula is perfect, this one would reward those who spend the least on education for their children in those States where the Federal Government already picks up more than their fair share of the tab.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.5
Positive
Harvard-IV (Absolute)
0.5
Positive
Harvard-IV (Logit)
0.8473
VADER
0.875
Very Positive
Moderation
Violence
0.0850672252
OpenAI Moderation v1 (007)
Harassment
0.0061804414
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042863641
OpenAI Moderation v1 (007)
Violence > Graphic
0.0032636875
OpenAI Moderation v1 (007)
Sexual
0.0007035409
OpenAI Moderation v1 (007)
Hate
0.000673491
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004454801
OpenAI Moderation v1 (007)
Hate > Threatening
5.24236E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.57636E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.18014E-5
OpenAI Moderation v1 (007)
Self-Harm
2.74184E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
96.999
Magnitude:
67
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
52.7
Gunning-Fog Score
18
Coleman-Liau Index
11.4
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
7
Jim Jeffords
Many of these same States have significant amounts of federal money coming from various programs across the spectrum. Vermont, I know from my own analysis of our situation, has less Federal money coming in from other Federal programs, education and otherwise, than many of the States who would benefit under this formula.
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
0.586
Very Positive
Moderation
Sexual
0.0193668937
OpenAI Moderation v1 (007)
Violence
0.011824393
OpenAI Moderation v1 (007)
Sexual > Minors
0.0057188518
OpenAI Moderation v1 (007)
Harassment
0.0021673099
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015532087
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002758656
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002743858
OpenAI Moderation v1 (007)
Hate
0.0001001474
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.47424E-5
OpenAI Moderation v1 (007)
Self-Harm
3.06879E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.7931E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.518
Magnitude:
142
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
30.8
Gunning-Fog Score
17.3
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
16
Sprache Difficult Word Count
17
Jim Jeffords
In addition, while the formula would benefit my own State only slightly, it would destroy the chapter 1 program in several States where the problems of poverty are severe. That is why I would be against it and recommend a vote against it.
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
Very Negative
Harvard-IV (Absolute)
-0.5
Very Negative
Harvard-IV (Logit)
-0.8473
VADER
-0.744
Very Negative
Moderation
Violence
0.0038960861
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038589351
OpenAI Moderation v1 (007)
Harassment
0.0031608077
OpenAI Moderation v1 (007)
Sexual > Minors
0.0031362171
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008271406
OpenAI Moderation v1 (007)
Hate
0.0006225458
OpenAI Moderation v1 (007)
Sexual
0.0004798695
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.04224E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.59507E-5
OpenAI Moderation v1 (007)
Self-Harm
1.52253E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.2425E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
83.079
Magnitude:
97
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
61.1
Gunning-Fog Score
14.2
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
10.2
Dale-Chall Readability Score
4.7
Sprache Readability Score
4.2
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
12
Jim Jeffords
For instance, California with nearly one-eighth of the poor children in the country, would lose nearly $50 million under the competing formula.
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
-0.7
Very Negative
Moderation
Sexual
0.0219465262
OpenAI Moderation v1 (007)
Violence
0.0145607992
OpenAI Moderation v1 (007)
Violence > Graphic
0.0070230228
OpenAI Moderation v1 (007)
Sexual > Minors
0.0017296936
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010383405
OpenAI Moderation v1 (007)
Harassment
0.0009852291
OpenAI Moderation v1 (007)
Hate
6.41339E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.83884E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.50475E-5
OpenAI Moderation v1 (007)
Self-Harm
1.28081E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.11415E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
51.486
Magnitude:
50
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
43.7
Gunning-Fog Score
14.4
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
3.9
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
8
Jim Jeffords
Mr. President, I again want to echo that I feel it is critically important that we establish new Federal policy, and the formula this committee has worked on has done an excellent job to bring new factors in that will provide a much more equitable situation for our schoolchildren, especially those in poverty.
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)
0.78846
VADER
0.298
Slightly Positive
Moderation
Sexual
0.1680491259
OpenAI Moderation v1 (007)
Harassment
0.0950786693
OpenAI Moderation v1 (007)
Sexual > Minors
0.0596761238
OpenAI Moderation v1 (007)
Violence
0.0192494554
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0123525024
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0009864616
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0008536172
OpenAI Moderation v1 (007)
Violence > Graphic
0.0008069451
OpenAI Moderation v1 (007)
Hate
0.0007198271
OpenAI Moderation v1 (007)
Self-Harm
0.0002363082
OpenAI Moderation v1 (007)
Hate > Threatening
5.54499E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Law and Crime
Score:
86.159
Magnitude:
50
Code:
12
Url:
https://fsc.al/cap-mc#12
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
39.5
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
18
Sprache Difficult Word Count
18
Jim Jeffords
Mr. President, I yield the floor and yield back my time.
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
0.2830129117
OpenAI Moderation v1 (007)
Violence
0.0133115289
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0111814283
OpenAI Moderation v1 (007)
Sexual
0.0106318003
OpenAI Moderation v1 (007)
Sexual > Minors
0.0099401805
OpenAI Moderation v1 (007)
Hate
0.0019258583
OpenAI Moderation v1 (007)
Self-Harm
0.0017289367
OpenAI Moderation v1 (007)
Violence > Graphic
0.0015766691
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0012352667
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003867545
OpenAI Moderation v1 (007)
Hate > Threatening
3.3121E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.312
Magnitude:
54
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
2.2
Coleman-Liau Index
7.2
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
6
Sprache Readability Score
1.6
Dale-Chall Difficult Word Score
4
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.3902536584
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0191313244
OpenAI Moderation v1 (007)
Violence
0.0049299782
OpenAI Moderation v1 (007)
Sexual > Minors
0.0019340634
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0015261683
OpenAI Moderation v1 (007)
Sexual
0.0014399879
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0012244494
OpenAI Moderation v1 (007)
Hate
0.000267799
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001386349
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001248934
OpenAI Moderation v1 (007)
Self-Harm
0.0001007038
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.302
Magnitude:
68
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
5.2
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
1.2
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.2
Dale-Chall Readability Score
5.4
Sprache Readability Score
1.3
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Dale Bumpers
Mr. President, how much time do I control?
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
0.012232567
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0106506843
OpenAI Moderation v1 (007)
Harassment
0.0100578
OpenAI Moderation v1 (007)
Sexual > Minors
0.0084634266
OpenAI Moderation v1 (007)
Sexual
0.003146087
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0013092113
OpenAI Moderation v1 (007)
Violence > Graphic
0.0010562057
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0008072368
OpenAI Moderation v1 (007)
Hate > Threatening
0.0002018102
OpenAI Moderation v1 (007)
Self-Harm
0.000149622
OpenAI Moderation v1 (007)
Hate
0.000143977
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.285
Magnitude:
73
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0.7
Flesch-Kincaid Ease
97
Gunning-Fog Score
1.6
Coleman-Liau Index
7.7
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
6.1
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.0118580414
OpenAI Moderation v1 (007)
Violence
0.0086949862
OpenAI Moderation v1 (007)
Violence > Graphic
0.0028777531
OpenAI Moderation v1 (007)
Harassment
0.0024645622
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004610132
OpenAI Moderation v1 (007)
Hate
0.0002205748
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001273459
OpenAI Moderation v1 (007)
Self-Harm
1.90217E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.2742E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.0763E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.04E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.422
Magnitude:
70
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6.9
Flesch-Kincaid Ease
59.3
Gunning-Fog Score
3.1
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
6.6
Dale-Chall Readability Score
5.2
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
7
Sprache Difficult Word Count
6
Mr. BUMPERS addressed the Chair.
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
0.0262923772
OpenAI Moderation v1 (007)
Harassment
0.0158589624
OpenAI Moderation v1 (007)
Hate
0.0083961037
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058148693
OpenAI Moderation v1 (007)
Sexual
0.0014201328
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003485028
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001412182
OpenAI Moderation v1 (007)
Sexual > Minors
5.57955E-5
OpenAI Moderation v1 (007)
Self-Harm
1.94778E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.3215E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.064E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.588
Magnitude:
66
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
0
Flesch-Kincaid Ease
100
Gunning-Fog Score
1
Coleman-Liau Index
12
SMOG Index
3.3
Automated Readability Index
4.3
Dale-Chall Readability Score
9.6
Sprache Readability Score
1.2
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
3
The Presiding Officer
The PRESIDING OFFICER.
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
0.026614219
OpenAI Moderation v1 (007)
Harassment
0.0157056769
OpenAI Moderation v1 (007)
Hate
0.0084675194
OpenAI Moderation v1 (007)
Violence > Graphic
0.0058773803
OpenAI Moderation v1 (007)
Sexual
0.0014481917
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003420393
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001409815
OpenAI Moderation v1 (007)
Sexual > Minors
5.6444E-5
OpenAI Moderation v1 (007)
Self-Harm
1.96884E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.3777E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.207E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
22
Gunning-Fog Score
1.4
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
7.9
Dale-Chall Readability Score
6.9
Sprache Readability Score
1.4
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
4
Dale Bumpers
Mr. President, my friend from Iowa, one of the dearest friends I have in the U.S. Senate, called the map which sits behind Senator Cochran, phony. You think about that. I know that he is a well- intentioned person. I know that he cares about poor people. I know his heart is in the right place.
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)
2.56495
VADER
0.944
Very Positive
Readability
Flesch-Kincaid Grade
2.3
Flesch-Kincaid Ease
91.3
Gunning-Fog Score
3.6
Coleman-Liau Index
7.5
SMOG Index
6.8
Automated Readability Index
0.8
Dale-Chall Readability Score
3.1
Sprache Readability Score
2.5
Dale-Chall Difficul