Fact
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se
Senate Floor: STATEMENTS ON INTRODUCED BILLS AND JOINT RESOLUTIONS
Topics
Entities
Moderation
19 Speakers
Topics
No topics found
Entities
No entities found
Moderation
No moderation found
Speakers
Nancy Kassebaum Nancy Kassebaum said 90 sentences of a total of 819 sentences.
11%
Nancy Kassebaum said 1847 words of a total of 16121 words.
12%
Frank R. Lautenberg Frank R. Lautenberg said 85 sentences of a total of 819 sentences.
11%
Frank R. Lautenberg said 1741 words of a total of 16121 words.
11%
David Durenberger David Durenberger said 76 sentences of a total of 819 sentences.
10%
David Durenberger said 1656 words of a total of 16121 words.
11%
J. James Exon J. James Exon said 86 sentences of a total of 819 sentences.
11%
J. James Exon said 1471 words of a total of 16121 words.
10%
Bill Bradley Bill Bradley said 45 sentences of a total of 819 sentences.
6%
Bill Bradley said 1191 words of a total of 16121 words.
8%
Herb Kohl Herb Kohl said 49 sentences of a total of 819 sentences.
6%
Herb Kohl said 1073 words of a total of 16121 words.
7%
Bob Kerrey Bob Kerrey said 51 sentences of a total of 819 sentences.
7%
Bob Kerrey said 1068 words of a total of 16121 words.
7%
Dennis DeConcini Dennis DeConcini said 46 sentences of a total of 819 sentences.
6%
Dennis DeConcini said 952 words of a total of 16121 words.
6%
John Chafee John Chafee said 31 sentences of a total of 819 sentences.
4%
John Chafee said 716 words of a total of 16121 words.
5%
J. Bennett Johnston J. Bennett Johnston said 43 sentences of a total of 819 sentences.
6%
J. Bennett Johnston said 640 words of a total of 16121 words.
4%
Chris Dodd Chris Dodd said 34 sentences of a total of 819 sentences.
5%
Chris Dodd said 640 words of a total of 16121 words.
4%
Daniel Patrick Moynihan Daniel Patrick Moynihan said 29 sentences of a total of 819 sentences.
4%
Daniel Patrick Moynihan said 627 words of a total of 16121 words.
4%
John Warner John Warner said 21 sentences of a total of 819 sentences.
3%
John Warner said 504 words of a total of 16121 words.
4%
Ernest Hollings Ernest Hollings said 42 sentences of a total of 819 sentences.
6%
Ernest Hollings said 472 words of a total of 16121 words.
3%
Bob Graham Bob Graham said 33 sentences of a total of 819 sentences.
5%
Bob Graham said 440 words of a total of 16121 words.
3%
David L. Boren David L. Boren said 20 sentences of a total of 819 sentences.
3%
David L. Boren said 386 words of a total of 16121 words.
3%
Joe Biden Joe Biden said 19 sentences of a total of 819 sentences.
3%
Joe Biden said 287 words of a total of 16121 words.
2%
Orrin G. Hatch Orrin G. Hatch said 14 sentences of a total of 819 sentences.
2%
Orrin G. Hatch said 270 words of a total of 16121 words.
2%
Daniel K. Inouye Daniel K. Inouye said 5 sentences of a total of 819 sentences.
1%
Daniel K. Inouye said 140 words of a total of 16121 words.
1%
Full Transcript
J. James Exon
Mr. President, I am pleased to introduce a bill to reauthorize the Local Rail Freight Assistance [LRFA] Program. This program is one of America's key programs for investment in rail infrastructure. This legislation reauthorizes the program for 3 years at its current authorized level.
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
0.44
Positive
Moderation
Harassment
0.0667399087
OpenAI Moderation v1 (007)
Sexual
0.0244149007
OpenAI Moderation v1 (007)
Hate
0.0063925385
OpenAI Moderation v1 (007)
Violence
0.0061070488
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011971147
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0011345243
OpenAI Moderation v1 (007)
Sexual > Minors
0.0007952647
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.2414E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.28532E-5
OpenAI Moderation v1 (007)
Self-Harm
2.8306E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.79288E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
96.816
Magnitude:
42
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
52.3
Gunning-Fog Score
10.8
Coleman-Liau Index
12
SMOG Index
11.8
Automated Readability Index
8.9
Dale-Chall Readability Score
7.1
Sprache Readability Score
3.4
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
18
J. James Exon
LRFA provides much needed assistance to America's rural communities to assure that they maintain much needed rail service and that they remain linked into America's rail network. One only needs to look at the floods of last summer to see how important the LRFA Program is. When the Congress enacted disaster relief legislation last year, it was through the LRFA Program that the Nation helped get America's short lines and regional rails back on track. Without this help, shippers, railroads, workers, and communities would have been financially devastated.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.125
Leans Positive
Harvard-IV (Absolute)
0.125
Leans Positive
Harvard-IV (Logit)
0.23639
VADER
-0.422
Negative
Moderation
Harassment
0.0776180939
OpenAI Moderation v1 (007)
Violence
0.0744828081
OpenAI Moderation v1 (007)
Sexual
0.0133208479
OpenAI Moderation v1 (007)
Violence > Graphic
0.0079631463
OpenAI Moderation v1 (007)
Hate
0.0044410055
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0031513329
OpenAI Moderation v1 (007)
Sexual > Minors
0.0024618093
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002213935
OpenAI Moderation v1 (007)
Self-Harm
0.0001781664
OpenAI Moderation v1 (007)
Hate > Threatening
9.97587E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.74348E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
96.546
Magnitude:
88
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
46.1
Gunning-Fog Score
13.3
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
30
Sprache Difficult Word Count
29
J. James Exon
In this era of deficit reduction, no program should escape intense security, the LRFA included. This program stands up very well. It provides jobs, investment, and productivity improvement. It is absolutely critical to rail service in rural America and helps stitch small town America into the Nation's transportation fabric.
Sentiment
Loughran McDonald (Relative)
-0.33333
Somewhat Negative
Loughran McDonald (Absolute)
-0.33333
Somewhat Negative
Loughran McDonald (Logit)
-0.51083
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.36772
VADER
0.599
Very Positive
Moderation
Harassment
0.244927709
OpenAI Moderation v1 (007)
Sexual
0.0373854942
OpenAI Moderation v1 (007)
Violence
0.021422327
OpenAI Moderation v1 (007)
Violence > Graphic
0.008338011
OpenAI Moderation v1 (007)
Sexual > Minors
0.0010716674
OpenAI Moderation v1 (007)
Hate
0.0009030843
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005721451
OpenAI Moderation v1 (007)
Self-Harm
0.0001302447
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.02742E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.2237E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.2079E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
65.511
Magnitude:
49
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
33.8
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
7.4
Sprache Readability Score
4
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
23
J. James Exon
As chairman of the Senate Surface Transportation Subcommittee, I want to look at ways to improve this program, to get more infrastructure for every dollar of Federal investment and to also look at direct and guaranteed loan options.
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)
0.8473
VADER
0.494
Positive
Moderation
Harassment
0.1912225038
OpenAI Moderation v1 (007)
Violence > Graphic
0.0174870846
OpenAI Moderation v1 (007)
Violence
0.0158577677
OpenAI Moderation v1 (007)
Sexual
0.0098596458
OpenAI Moderation v1 (007)
Sexual > Minors
0.0030224717
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0028469871
OpenAI Moderation v1 (007)
Hate
0.0009250804
OpenAI Moderation v1 (007)
Self-Harm
0.000683149
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001825596
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001637464
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001008137
OpenAI Moderation v1 (007)
Topics
Topic:
Transportation
Score:
96.713
Magnitude:
38
Code:
10
Url:
https://fsc.al/cap-mc#10
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
23.6
Gunning-Fog Score
19
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
10
Sprache Difficult Word Count
14
J. James Exon
Mr. President, over the years the Congress has consistently supported this much needed program. I encourage my colleagues to join me in support of this important reauthorization legislation.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.75
Very Positive
Harvard-IV (Absolute)
0.75
Very Positive
Harvard-IV (Logit)
1.60944
VADER
0.859
Very Positive
Moderation
Harassment
0.3268559929
OpenAI Moderation v1 (007)
Violence
0.1323394245
OpenAI Moderation v1 (007)
Violence > Graphic
0.0285399554
OpenAI Moderation v1 (007)
Sexual
0.0080654158
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0062316692
OpenAI Moderation v1 (007)
Hate
0.0016301055
OpenAI Moderation v1 (007)
Self-Harm
0.0001569422
OpenAI Moderation v1 (007)
Sexual > Minors
3.09474E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.64852E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.694E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.967E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
41.739
Magnitude:
28
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10
Flesch-Kincaid Ease
40.2
Gunning-Fog Score
13.7
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
7.2
Sprache Readability Score
2.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
12
J. James Exon
Mr. President, I ask unanimous consent that the text of the bill be printed in the Record.
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
0.226
Slightly Positive
Moderation
Harassment
0.1524734078
OpenAI Moderation v1 (007)
Violence
0.0328862574
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0040959094
OpenAI Moderation v1 (007)
Hate
0.0030197087
OpenAI Moderation v1 (007)
Sexual
0.0025732013
OpenAI Moderation v1 (007)
Violence > Graphic
0.0024301191
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001496597
OpenAI Moderation v1 (007)
Hate > Threatening
7.73009E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.79104E-5
OpenAI Moderation v1 (007)
Self-Harm
3.88535E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.87703E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
4.4
Flesch-Kincaid Ease
78.8
Gunning-Fog Score
5.8
Coleman-Liau Index
8.8
SMOG Index
7.3
Automated Readability Index
2.5
Dale-Chall Readability Score
6
Sprache Readability Score
2.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
8
Nancy Kassebaum
Mr. President, today I am introducing legislation on behalf of myself and Senators Kerrey of Nebraska, Chafee, and Durenberger, which is designed to revamp our current Federal job training system. From the viewpoint of both the taxpayer and the trainee, there can be little doubt that a comprehensive overhaul is long overdue.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.2
Leans Positive
Harvard-IV (Absolute)
0.2
Leans Positive
Harvard-IV (Logit)
0.33647
VADER
-0.135
Leans Negative
Moderation
Violence > Graphic
0.1421453082
OpenAI Moderation v1 (007)
Sexual
0.0137967916
OpenAI Moderation v1 (007)
Violence
0.0105036706
OpenAI Moderation v1 (007)
Harassment
0.0043211228
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010363116
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004391755
OpenAI Moderation v1 (007)
Hate
0.0003706928
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.7443E-5
OpenAI Moderation v1 (007)
Self-Harm
1.01295E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.9964E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.2496E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.194
Magnitude:
39
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.6
Flesch-Kincaid Ease
42.8
Gunning-Fog Score
11.5
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.4
Dale-Chall Readability Score
7.8
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
23
Sprache Difficult Word Count
24
Nancy Kassebaum
What began as a few limited programs in the late sixties has exploded today into a confusing maze of 154 separate programs, costing almost $25 billion a year. Those programs are hamstrung by duplication, waste, and conflicting regulations that too often leave program trainees no better off than when they started. It is a system with more than 60 separate programs targeted at the economically disadvantaged, with, for example, 34 literacy programs aimed at reaching the same group. It is a system with six different standards for defining income eligibility levels, five for defining family or household income, and five for defining what is included in income. It is a system which lacks any effective means for determining whether or not programs actually work.
Sentiment
Loughran McDonald (Relative)
-0.55556
Very Negative
Loughran McDonald (Absolute)
-0.55556
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.28571
Slightly Negative
Harvard-IV (Absolute)
-0.28571
Slightly Negative
Harvard-IV (Logit)
-0.54654
VADER
-0.681
Very Negative
Moderation
Harassment
0.1154227415
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0045927372
OpenAI Moderation v1 (007)
Hate
0.0043157281
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041160711
OpenAI Moderation v1 (007)
Violence
0.003096052
OpenAI Moderation v1 (007)
Sexual
0.0019805393
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002739847
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.000151024
OpenAI Moderation v1 (007)
Self-Harm
4.17132E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.61576E-5
OpenAI Moderation v1 (007)
Hate > Threatening
5.1359E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.331
Magnitude:
28
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
37.7
Gunning-Fog Score
18
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
41
Sprache Difficult Word Count
35
Nancy Kassebaum
A report recently released by the General Accounting Office indicated that fewer than half of the 62 job training programs selected for study even bothered to check to see if participants obtained jobs after training. I think this is one of the real problems, Mr. President -- being able to analyze what sort of effect these training programs have had and how we can be more useful by following through with the data to understand what is occurring.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.46667
Positive
Harvard-IV (Absolute)
0.46667
Positive
Harvard-IV (Logit)
0.93827
VADER
-0.211
Slightly Negative
Moderation
Harassment
1.0225807317
OpenAI Moderation v1 (007)
Hate
0.0094950206
OpenAI Moderation v1 (007)
Violence
0.0039229668
OpenAI Moderation v1 (007)
Sexual
0.0005109215
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0004797852
OpenAI Moderation v1 (007)
Sexual > Minors
4.95805E-5
OpenAI Moderation v1 (007)
Violence > Graphic
4.65993E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.88689E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.36553E-5
OpenAI Moderation v1 (007)
Self-Harm
1.47599E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.19915E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.822
Magnitude:
108
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
47.8
Gunning-Fog Score
14.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
27
Nancy Kassebaum
During the past decade, only seven of those programs were evaluated to find out whether trainees would have achieved the same outcomes without Federal assistance.
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
Neutral
Moderation
Violence > Graphic
0.0231581289
OpenAI Moderation v1 (007)
Violence
0.0041689706
OpenAI Moderation v1 (007)
Sexual
0.0003911515
OpenAI Moderation v1 (007)
Harassment
0.0002466567
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001469468
OpenAI Moderation v1 (007)
Hate
0.0001144841
OpenAI Moderation v1 (007)
Self-Harm
9.29539E-5
OpenAI Moderation v1 (007)
Harassment > Threatening
8.71048E-5
OpenAI Moderation v1 (007)
Sexual > Minors
6.28884E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
9.8042E-6
OpenAI Moderation v1 (007)
Hate > Threatening
2.4777E-6
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.9
Gunning-Fog Score
13.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.9
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
9
Nancy Kassebaum
It is little wonder that the news media has already supplied examples of failure and lack of cost effectiveness in these programs. Although anecdotal in nature, the following examples offer some graphic illustrations of the broader problems in Federal jobs training efforts: In suburban Seattle, a woman told a reporter she was enrolled in her eighth Federal job training program. She said the previous seven programs offered no more help than a phone book and a few job leads. She hoped this program would finally give her the skills she needed to pull herself out of poverty, off Government assistance, and into a good job.
Sentiment
Loughran McDonald (Relative)
-0.2
Slightly Negative
Loughran McDonald (Absolute)
-0.2
Slightly Negative
Loughran McDonald (Logit)
-0.33647
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.65393
VADER
-0.653
Very Negative
Moderation
Harassment
0.0898346654
OpenAI Moderation v1 (007)
Sexual
0.0126937681
OpenAI Moderation v1 (007)
Violence > Graphic
0.0036042256
OpenAI Moderation v1 (007)
Violence
0.0035245463
OpenAI Moderation v1 (007)
Hate
0.0023904624
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007216824
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002915373
OpenAI Moderation v1 (007)
Self-Harm
0.0001184765
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.64747E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.0472E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.235E-7
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
45.6
Gunning-Fog Score
15.8
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
34
Sprache Difficult Word Count
34
Nancy Kassebaum
In Los Angeles, one private sector job training initiative has managed to put together a fairly successful effort, but is able to do so only by patching together a mind-boggling array of funding sources. These sources include a special farm worker grant, several different programs for the disadvantaged within JTPA, the Jobs Program for Welfare Recipients, the Youth Fair Chance Program, Pell grants, and student loans, not to mention various local and State employment programs.
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
0.909
Very Positive
Moderation
Harassment
0.0037596841
OpenAI Moderation v1 (007)
Violence
0.0026894972
OpenAI Moderation v1 (007)
Violence > Graphic
0.0023794384
OpenAI Moderation v1 (007)
Sexual
0.0003878315
OpenAI Moderation v1 (007)
Hate
0.000250044
OpenAI Moderation v1 (007)
Harassment > Threatening
7.43559E-5
OpenAI Moderation v1 (007)
Self-Harm
4.19815E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.89349E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.38307E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.2352E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.00276E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
29.1
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9.4
Sprache Readability Score
5
Dale-Chall Difficult Word Score
36
Sprache Difficult Word Count
33
Nancy Kassebaum
A recent New York Times article told the story of a private placement firm that charged States $5,500 for each welfare recipient placed in a job. While the program had some successes, the company has paid nearly $1 million, 60 percent of that in Federal matching funds, for people who never found permanent work.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
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
0.422
Positive
Moderation
Harassment
0.0650624919
OpenAI Moderation v1 (007)
Sexual
0.0306890754
OpenAI Moderation v1 (007)
Sexual > Minors
0.0234373903
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0077152137
OpenAI Moderation v1 (007)
Violence
0.0031713509
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.001974141
OpenAI Moderation v1 (007)
Hate
0.0010913429
OpenAI Moderation v1 (007)
Self-Harm
0.0008721234
OpenAI Moderation v1 (007)
Hate > Threatening
0.0001769846
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001001859
OpenAI Moderation v1 (007)
Violence > Graphic
7.14748E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
36.803
Magnitude:
39
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
International Affairs
Score:
23.099
Magnitude:
39
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.4
Flesch-Kincaid Ease
62
Gunning-Fog Score
14.6
Coleman-Liau Index
10.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.2
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Nancy Kassebaum
Mr. President, I think the message is loud and clear: The time for half-measures for reforming the Federal job training system has passed. The current system is an obvious waste of scarce Federal resources and, more importantly, is really not providing the type of assistance and support that is needed.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.62
Very Positive
Moderation
Harassment
0.0036295289
OpenAI Moderation v1 (007)
Sexual
0.0033912478
OpenAI Moderation v1 (007)
Violence
0.0031545384
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003629292
OpenAI Moderation v1 (007)
Hate
0.0002266059
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002039583
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001511779
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.05429E-5
OpenAI Moderation v1 (007)
Self-Harm
1.51341E-5
OpenAI Moderation v1 (007)
Hate > Threatening
6.9584E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.3723E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
68.441
Magnitude:
52
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.3
Flesch-Kincaid Ease
58.5
Gunning-Fog Score
12.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.8
Dale-Chall Readability Score
6.7
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
21
Nancy Kassebaum
I believe there is general acknowledgment that we must act now to reform the system. The administration has spoken to this need, as have many of my colleagues, and I look forward to working with them in this endeavor. In fact, the administration is proposing legislation which attempts to bring together some half-dozen programs serving dislocated workers.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.58779
VADER
0
Neutral
Moderation
Harassment
0.0375468109
OpenAI Moderation v1 (007)
Violence
0.0089956418
OpenAI Moderation v1 (007)
Sexual
0.007656675
OpenAI Moderation v1 (007)
Sexual > Minors
0.0059527396
OpenAI Moderation v1 (007)
Hate
0.0024856094
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005609628
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0005500866
OpenAI Moderation v1 (007)
Self-Harm
3.7313E-6
OpenAI Moderation v1 (007)
Hate > Threatening
3.1673E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.1027E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.914E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.622
Magnitude:
85
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
45.7
Gunning-Fog Score
14.6
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
18
Nancy Kassebaum
The legislation that is being introduced today, the Job Training Consolidation Act, takes a different approach. Specifically, this legislation differs from the administration's in three important respects:
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
0.477
Positive
Moderation
Harassment
0.1825056737
OpenAI Moderation v1 (007)
Violence
0.0322988752
OpenAI Moderation v1 (007)
Violence > Graphic
0.0098464625
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0084832391
OpenAI Moderation v1 (007)
Sexual
0.006219279
OpenAI Moderation v1 (007)
Hate
0.0014998921
OpenAI Moderation v1 (007)
Sexual > Minors
0.0012634412
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003498902
OpenAI Moderation v1 (007)
Self-Harm
0.0002634217
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.000134932
OpenAI Moderation v1 (007)
Hate > Threatening
5.57542E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
67.581
Magnitude:
93
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
14.5
Gunning-Fog Score
15.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
3.1
Dale-Chall Difficult Word Score
10
Sprache Difficult Word Count
10
Nancy Kassebaum
First, its focus is not limited to just the dislocated worker programs, but rather encompasses all Federal job training efforts.
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
0.034
Neutral
Moderation
Violence
0.0162342592
OpenAI Moderation v1 (007)
Violence > Graphic
0.0117796022
OpenAI Moderation v1 (007)
Harassment
0.0028140505
OpenAI Moderation v1 (007)
Sexual
0.0015889756
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008471101
OpenAI Moderation v1 (007)
Hate
0.000109403
OpenAI Moderation v1 (007)
Sexual > Minors
8.41355E-5
OpenAI Moderation v1 (007)
Self-Harm
3.53093E-5
OpenAI Moderation v1 (007)
Hate > Threatening
7.0462E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.595E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.1357E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
60.052
Magnitude:
36
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Topic:
Labor
Score:
29.627
Magnitude:
36
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.5
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.3
Sprache Readability Score
3.9
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Nancy Kassebaum
Second, it does not call for additional new funding and does not create new categories for entitlement spending.
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
-0.083
Neutral
Moderation
Harassment
0.0117649084
OpenAI Moderation v1 (007)
Violence > Graphic
0.0064627449
OpenAI Moderation v1 (007)
Violence
0.0059071728
OpenAI Moderation v1 (007)
Sexual
0.0016017022
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009610674
OpenAI Moderation v1 (007)
Hate
0.0006093333
OpenAI Moderation v1 (007)
Sexual > Minors
0.00011862
OpenAI Moderation v1 (007)
Hate > Threatening
1.4434E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.0116E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.7659E-6
OpenAI Moderation v1 (007)
Self-Harm
2.9053E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
53.965
Magnitude:
45
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Topic:
International Affairs
Score:
30.669
Magnitude:
45
Code:
19
Url:
https://fsc.al/cap-mc#19
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
47.6
Gunning-Fog Score
13.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.9
Dale-Chall Readability Score
6.2
Sprache Readability Score
3.3
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Nancy Kassebaum
Third, it offers, immediately, the opportunity for States and localities to combine resources to tailor programs to meet current needs in a way that the States themselves believe is necessary to meet the particular concerns of a community or the State as a whole.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.422
Positive
Moderation
Sexual
0.0019186302
OpenAI Moderation v1 (007)
Violence > Graphic
0.0016397866
OpenAI Moderation v1 (007)
Violence
0.0016039876
OpenAI Moderation v1 (007)
Harassment
0.0009787952
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0003917638
OpenAI Moderation v1 (007)
Hate
6.82881E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.86091E-5
OpenAI Moderation v1 (007)
Hate > Threatening
9.384E-6
OpenAI Moderation v1 (007)
Self-Harm
8.1418E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.4204E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
7.849E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.555
Magnitude:
98
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
19.9
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.5
Sprache Readability Score
5
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
14
Nancy Kassebaum
The Job Training Consolidation Act would provide both the mechanism and the strategy for overhauling the entire system. The goal is a single coherent approach to employment training to assist all jobs seekers in entering the work force, gaining basic skills, or retraining for new jobs.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
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
0.422
Positive
Moderation
Violence
0.0381719263
OpenAI Moderation v1 (007)
Sexual
0.0212739818
OpenAI Moderation v1 (007)
Violence > Graphic
0.0155831163
OpenAI Moderation v1 (007)
Harassment
0.0003992182
OpenAI Moderation v1 (007)
Sexual > Minors
0.000312444
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001396598
OpenAI Moderation v1 (007)
Hate
6.33989E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.70522E-5
OpenAI Moderation v1 (007)
Self-Harm
1.60285E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
9.3588E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.603E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Government Operations
Score:
28.536
Magnitude:
67
Code:
20
Url:
https://fsc.al/cap-mc#20
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.9
Gunning-Fog Score
15.3
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
21
Nancy Kassebaum
To achieve this goal, the legislation takes two important steps.
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
0.202
Slightly Positive
Moderation
Violence
0.198553456
OpenAI Moderation v1 (007)
Violence > Graphic
0.0811277772
OpenAI Moderation v1 (007)
Harassment
0.0319004932
OpenAI Moderation v1 (007)
Sexual
0.0258001994
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0036885507
OpenAI Moderation v1 (007)
Hate
0.0031607597
OpenAI Moderation v1 (007)
Sexual > Minors
0.0013683469
OpenAI Moderation v1 (007)
Hate > Threatening
0.000133553
OpenAI Moderation v1 (007)
Self-Harm
9.25703E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.45119E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.74376E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
7.2
Flesch-Kincaid Ease
61.3
Gunning-Fog Score
12
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
8.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
2
Sprache Difficult Word Count
3
Nancy Kassebaum
First, it establishes a public-private partnership at the Federal level to move toward consolidating all existing programs following a 2- year transition period.
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
Sexual
0.0071201881
OpenAI Moderation v1 (007)
Violence
0.0070238057
OpenAI Moderation v1 (007)
Violence > Graphic
0.0041064417
OpenAI Moderation v1 (007)
Sexual > Minors
0.0021988648
OpenAI Moderation v1 (007)
Harassment
0.0007716062
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0003391469
OpenAI Moderation v1 (007)
Self-Harm
0.0002829192
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001494065
OpenAI Moderation v1 (007)
Hate
9.4573E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.96384E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.28388E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
87.512
Magnitude:
78
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
13.3
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
4.5
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Nancy Kassebaum
Second, broad waivers would be granted immediately to the States to allow maximum flexibility for coordination of the largest programs to meet local needs, such as immediate help for the jobless.
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
0.791
Very Positive
Moderation
Violence > Graphic
0.0079683414
OpenAI Moderation v1 (007)
Violence
0.005507336
OpenAI Moderation v1 (007)
Harassment
0.0032310778
OpenAI Moderation v1 (007)
Sexual
0.0021460168
OpenAI Moderation v1 (007)
Hate
0.000736827
OpenAI Moderation v1 (007)
Sexual > Minors
0.0002791869
OpenAI Moderation v1 (007)
Harassment > Threatening
5.40497E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.2017E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.5363E-6
OpenAI Moderation v1 (007)
Self-Harm
2.4721E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.3643E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
87.258
Magnitude:
132
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
25.3
Gunning-Fog Score
18.9
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
14
Nancy Kassebaum
This legislation would transfer responsibility for job training to the States and, in turn, to local communities to implement programs geared to those needs. In addition, the bill requires the involvement of employers at all stages of the process.
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
0.0190705119
OpenAI Moderation v1 (007)
Violence
0.0157900227
OpenAI Moderation v1 (007)
Sexual
0.0068514142
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0044724253
OpenAI Moderation v1 (007)
Harassment
0.0041708994
OpenAI Moderation v1 (007)
Hate > Threatening
0.0011104248
OpenAI Moderation v1 (007)
Hate
0.0008209638
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004729523
OpenAI Moderation v1 (007)
Self-Harm
9.45169E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.48392E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.0499E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.823
Magnitude:
80
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.7
Flesch-Kincaid Ease
46
Gunning-Fog Score
15
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.6
Sprache Readability Score
4.4
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
17
Nancy Kassebaum
Ultimately, an integrated system would be created that would assure job seekers information about all available employment and training services no matter where they first applied for help.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.94591
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.612
Very Positive
Moderation
Sexual
0.0130648899
OpenAI Moderation v1 (007)
Violence
0.0054873617
OpenAI Moderation v1 (007)
Harassment
0.0045061137
OpenAI Moderation v1 (007)
Sexual > Minors
0.001786656
OpenAI Moderation v1 (007)
Violence > Graphic
0.0011966913
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008243167
OpenAI Moderation v1 (007)
Hate
0.0003918112
OpenAI Moderation v1 (007)
Self-Harm
0.0001696461
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.48289E-5
OpenAI Moderation v1 (007)
Hate > Threatening
2.3177E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.5044E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Environment
Score:
93.022
Magnitude:
46
Code:
7
Url:
https://fsc.al/cap-mc#7
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
21.3
Gunning-Fog Score
18.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
7.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
11
Sprache Difficult Word Count
12
Nancy Kassebaum
I believe we must take bold steps to reform our existing training programs, not merely add new ones in the name of reform. The bill would consolidate almost 60 programs contained in a dozen statutes without additional spending, new entitlements, tax increases, or additional layers of bureaucracy. In fact, the consolidation effort would probably result in cost savings that could be used to serve more clients more effectively. I think it will enhance the ability of all those seeking jobs to obtain better assistance in obtaining the skills they need to get a job, a good job, a job that will provide stability to an individual or a family.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
2.19722
Harvard-IV (Relative)
0.54545
Very Positive
Harvard-IV (Absolute)
0.54545
Very Positive
Harvard-IV (Logit)
1.15745
VADER
0.921
Very Positive
Moderation
Sexual
0.007755874
OpenAI Moderation v1 (007)
Sexual > Minors
0.0032705044
OpenAI Moderation v1 (007)
Violence
0.0027189426
OpenAI Moderation v1 (007)
Violence > Graphic
0.0006082452
OpenAI Moderation v1 (007)
Harassment
0.0002951148
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000155023
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.05835E-5
OpenAI Moderation v1 (007)
Hate
1.2306E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.08977E-5
OpenAI Moderation v1 (007)
Self-Harm
3.5229E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.0097E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
94.326
Magnitude:
78
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
42.6
Gunning-Fog Score
16.8
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
33
Sprache Difficult Word Count
37
Nancy Kassebaum
I look forward to working with my colleagues in achieving this goal. I am particularly pleased to see on the floor a cosponsor in this effort who has spoken eloquently in the past on the need to provide truly inventive, creative initiatives that address the problems of Government and, more importantly, of people as they related to Government.
Sentiment
Loughran McDonald (Relative)
0.6
Very Positive
Loughran McDonald (Absolute)
0.6
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
0.833
Very Positive
Moderation
Violence
0.0038508952
OpenAI Moderation v1 (007)
Harassment
0.0028185734
OpenAI Moderation v1 (007)
Sexual
0.0010355845
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003489701
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002939292
OpenAI Moderation v1 (007)
Hate
0.0002126457
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001784538
OpenAI Moderation v1 (007)
Self-Harm
0.000137215
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000131637
OpenAI Moderation v1 (007)
Hate > Threatening
2.84965E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.40643E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.602
Magnitude:
86
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
35.9
Gunning-Fog Score
17.8
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
6.1
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
20
Nancy Kassebaum
Mr. President, I ask unanimous consent that the text of the bill and additional material be printed in the Record.
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
0.226
Slightly Positive
Moderation
Violence
0.0705289014
OpenAI Moderation v1 (007)
Harassment
0.0273624348
OpenAI Moderation v1 (007)
Violence > Graphic
0.0136100687
OpenAI Moderation v1 (007)
Sexual
0.008755258
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0086624786
OpenAI Moderation v1 (007)
Hate
0.0060262137
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005884717
OpenAI Moderation v1 (007)
Hate > Threatening
4.68488E-5
OpenAI Moderation v1 (007)
Self-Harm
1.28997E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.965E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.0686E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
93.145
Magnitude:
41
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
7.8
Flesch-Kincaid Ease
57.1
Gunning-Fog Score
10
Coleman-Liau Index
11.3
SMOG Index
10.3
Automated Readability Index
5.2
Dale-Chall Readability Score
6.8
Sprache Readability Score
2.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
10
Bob Kerrey
Mr. President, let me, first of all, commend the distinguished Senator from Kansas [Mrs. Kassebaum].
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.33333
Somewhat Positive
Harvard-IV (Absolute)
0.33333
Somewhat Positive
Harvard-IV (Logit)
0.51083
VADER
0.44
Positive
Moderation
Harassment
0.0538433727
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0064603111
OpenAI Moderation v1 (007)
Violence
0.0037861802
OpenAI Moderation v1 (007)
Hate
0.0014963461
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003857191
OpenAI Moderation v1 (007)
Sexual
4.89817E-5
OpenAI Moderation v1 (007)
Hate > Threatening
4.9933E-6
OpenAI Moderation v1 (007)
Sexual > Minors
4.6699E-6
OpenAI Moderation v1 (007)
Self-Harm
2.0043E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
8.743E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.778E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
93.651
Magnitude:
128
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
6
Flesch-Kincaid Ease
63.6
Gunning-Fog Score
5.7
Coleman-Liau Index
12
SMOG Index
9
Automated Readability Index
5.7
Dale-Chall Readability Score
7.6
Sprache Readability Score
1.9
Dale-Chall Difficult Word Score
6
Sprache Difficult Word Count
6
Bob Kerrey
There are two things I call to the attention of my colleagues about this legislation that I believe are extremely important. Indeed, it is constantly mentioned by the American people that they want action in both of these areas.
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
0.332
Somewhat Positive
Moderation
Harassment
0.0651653216
OpenAI Moderation v1 (007)
Sexual
0.0489743659
OpenAI Moderation v1 (007)
Hate
0.0087516688
OpenAI Moderation v1 (007)
Violence
0.0082629274
OpenAI Moderation v1 (007)
Violence > Graphic
0.0055532331
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0043785451
OpenAI Moderation v1 (007)
Sexual > Minors
0.0005822168
OpenAI Moderation v1 (007)
Hate > Threatening
3.01923E-5
OpenAI Moderation v1 (007)
Self-Harm
5.8106E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.624E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.113E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.337
Magnitude:
34
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.8
Flesch-Kincaid Ease
52.6
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
10.9
Dale-Chall Readability Score
4.2
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
8
Sprache Difficult Word Count
8
Bob Kerrey
The first is they look to Washington, DC, and they see a lot of waste. They see a lot of duplication of effort. I suspect most of our colleagues this week were visited by mayors who came to town talking about unfunded mandates and the difficulty of getting Federal programs to work.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-2.19722
Harvard-IV (Relative)
-0.6
Very Negative
Harvard-IV (Absolute)
-0.6
Very Negative
Harvard-IV (Logit)
-1.09861
VADER
-0.751
Very Negative
Moderation
Violence
0.0120661258
OpenAI Moderation v1 (007)
Harassment
0.0056820554
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0042564418
OpenAI Moderation v1 (007)
Violence > Graphic
0.0038116843
OpenAI Moderation v1 (007)
Sexual
0.0011385629
OpenAI Moderation v1 (007)
Hate
0.0006531593
OpenAI Moderation v1 (007)
Self-Harm
4.70504E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.17827E-5
OpenAI Moderation v1 (007)
Sexual > Minors
3.7026E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.85683E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.1046E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.284
Magnitude:
125
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.4
Flesch-Kincaid Ease
65.6
Gunning-Fog Score
10.8
Coleman-Liau Index
9.8
SMOG Index
12
Automated Readability Index
7.7
Dale-Chall Readability Score
4.8
Sprache Readability Score
4
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
15
Bob Kerrey
This piece of legislation deals with that head on. There are 154 job training programs, as the distinguished Senator from Kansas has just said, that are administered by 14 different Federal agencies. Not only is the total cost of this effort, approximately $25 billion, but having these efforts in all these different agencies, 14 different agencies, makes it difficult for States and localities to do the very important work of job training, which is the second thing about this legislation that I call to the attention of my colleagues.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
0.07692
Neutral
Harvard-IV (Absolute)
0.07692
Neutral
Harvard-IV (Logit)
0.1431
VADER
-0.167
Leans Negative
Moderation
Sexual
0.0009748483
OpenAI Moderation v1 (007)
Violence
0.0007882554
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004187758
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001619596
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0001429623
OpenAI Moderation v1 (007)
Harassment
0.0001135639
OpenAI Moderation v1 (007)
Self-Harm
1.09436E-5
OpenAI Moderation v1 (007)
Hate
8.3967E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.5335E-6
OpenAI Moderation v1 (007)
Hate > Threatening
4.229E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.25E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.086
Magnitude:
179
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
41.7
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
21
Sprache Difficult Word Count
20
Bob Kerrey
This week the President invited the G-7 leaders to come to Detroit to talk about what do we do as industrial countries to increase the number of high-paying jobs in America and the rest of the industrial world. It is a tremendous challenge. It is not an easy challenge for us to meet. But the simplest way, in my judgment, to discover what it is we need to do is, to find those high-paying jobs and ask yourself what do these individuals have that are different from people who are earning less money.
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)
1.02165
VADER
0.365
Somewhat Positive
Moderation
Harassment
0.3847164335
OpenAI Moderation v1 (007)
Violence
0.0161528078
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0046378147
OpenAI Moderation v1 (007)
Hate
0.0027857848
OpenAI Moderation v1 (007)
Sexual
0.0015551843
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009305629
OpenAI Moderation v1 (007)
Sexual > Minors
0.0004267842
OpenAI Moderation v1 (007)
Hate > Threatening
0.00010723
OpenAI Moderation v1 (007)
Self-Harm > Intent
5.6698E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.8929E-6
OpenAI Moderation v1 (007)
Self-Harm
2.6735E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
90.143
Magnitude:
174
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.2
Flesch-Kincaid Ease
64.4
Gunning-Fog Score
12.5
Coleman-Liau Index
8.6
SMOG Index
11.3
Automated Readability Index
10.1
Dale-Chall Readability Score
4.2
Sprache Readability Score
4.9
Dale-Chall Difficult Word Score
18
Sprache Difficult Word Count
16
Bob Kerrey
Mr. President, every single time that you find yourself in that situation, the answer to that question is they have higher skills because they had training that enabled them to do exactly what that job requires.
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
Harassment
0.5065664649
OpenAI Moderation v1 (007)
Violence
0.0213812091
OpenAI Moderation v1 (007)
Violence > Graphic
0.0120322788
OpenAI Moderation v1 (007)
Hate
0.0074807765
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0033802018
OpenAI Moderation v1 (007)
Sexual
0.0012203099
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0008891488
OpenAI Moderation v1 (007)
Self-Harm
0.0007202941
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0004864478
OpenAI Moderation v1 (007)
Sexual > Minors
0.0003636003
OpenAI Moderation v1 (007)
Hate > Threatening
2.48358E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.383
Magnitude:
119
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
9.1
Flesch-Kincaid Ease
61.7
Gunning-Fog Score
11.6
Coleman-Liau Index
12
SMOG Index
11.3
Automated Readability Index
10.1
Dale-Chall Readability Score
4.8
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
9
Sprache Difficult Word Count
12
Bob Kerrey
That is a difficulty that we have today, Mr. President, with the current division of responsibility between 14 different agencies, and the lack of flexibility that States have and that localities have in being able to tailor the effort for the particular requirement of the job.
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
-0.318
Somewhat Negative
Moderation
Harassment
0.0372242357
OpenAI Moderation v1 (007)
Violence
0.0215668348
OpenAI Moderation v1 (007)
Hate
0.0065327695
OpenAI Moderation v1 (007)
Hate > Threatening
0.0059933693
OpenAI Moderation v1 (007)
Violence > Graphic
0.0049128583
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0047874099
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0030373352
OpenAI Moderation v1 (007)
Sexual
0.0023058783
OpenAI Moderation v1 (007)
Self-Harm
0.0020869784
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0002360417
OpenAI Moderation v1 (007)
Sexual > Minors
3.68843E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.29
Magnitude:
66
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
38.2
Gunning-Fog Score
17
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.6
Sprache Readability Score
4.8
Dale-Chall Difficult Word Score
13
Sprache Difficult Word Count
16
Bob Kerrey
We have had example after example. I have talked to Nebraska people who are involved with job training, the Nebraska members of the Chamber of Commerce, the people who are involved in job service, people who are involved in the Job Training Partnership Act. Over and over what they say is they will find themselves in a situation that they know what they need to do, they know exactly what it is that needs to be done, but the Federal regulations do not allow them to do it. They find themselves increasingly frustrated with the task at hand.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.09861
Harvard-IV (Relative)
-0.07692
Neutral
Harvard-IV (Absolute)
-0.07692
Neutral
Harvard-IV (Logit)
-0.1431
VADER
-0.177
Leans Negative
Moderation
Harassment
0.0062854968
OpenAI Moderation v1 (007)
Violence
0.0012320244
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002355064
OpenAI Moderation v1 (007)
Hate
0.0001464353
OpenAI Moderation v1 (007)
Violence > Graphic
0.0001234744
OpenAI Moderation v1 (007)
Sexual
3.20962E-5
OpenAI Moderation v1 (007)
Sexual > Minors
2.4797E-6
OpenAI Moderation v1 (007)
Self-Harm
9.675E-7
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.065E-7
OpenAI Moderation v1 (007)
Hate > Threatening
3.444E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
2.54E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Education
Score:
97.115
Magnitude:
97
Code:
6
Url:
https://fsc.al/cap-mc#6
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
11.1
Flesch-Kincaid Ease
59.4
Gunning-Fog Score
12.7
Coleman-Liau Index
10.4
SMOG Index
12
Automated Readability Index
11.8
Dale-Chall Readability Score
4.6
Sprache Readability Score
5
Dale-Chall Difficult Word Score
21
Sprache Difficult Word Count
19
Bob Kerrey
Mr. President, all of us who have been involved in politics have occasionally had to answer the question, well, why do you do it? What is there in this effort of giving speeches on the floor and raising money for reelection campaigns and all the travel and separation from family that occurs as a consequence of this work? Why would anybody want to get involved with politics?
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)
-0.36772
VADER
0.653
Very Positive
Moderation
Harassment
1.5638746321
OpenAI Moderation v1 (007)
Hate
0.0303988665
OpenAI Moderation v1 (007)
Violence
0.002883709
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004288814
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0002471852
OpenAI Moderation v1 (007)
Sexual
0.000209156
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002003652
OpenAI Moderation v1 (007)
Self-Harm
0.0001909073
OpenAI Moderation v1 (007)
Self-Harm > Instructions
4.4536E-6
OpenAI Moderation v1 (007)
Sexual > Minors
1.6349E-6
OpenAI Moderation v1 (007)
Hate > Threatening
7.771E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
93.392
Magnitude:
70
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.6
Flesch-Kincaid Ease
63.6
Gunning-Fog Score
11.5
Coleman-Liau Index
10.8
SMOG Index
11.3
Automated Readability Index
8.2
Dale-Chall Readability Score
4.6
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
16
Sprache Difficult Word Count
17
Bob Kerrey
I see in the gallery some young people who are here visiting Washington who may themselves be asking that very 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
0.0457776274
OpenAI Moderation v1 (007)
Violence
0.0208716432
OpenAI Moderation v1 (007)
Violence > Graphic
0.0039498369
OpenAI Moderation v1 (007)
Hate
0.0017811763
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0016663334
OpenAI Moderation v1 (007)
Sexual
0.0009461693
OpenAI Moderation v1 (007)
Sexual > Minors
6.99567E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.0075E-5
OpenAI Moderation v1 (007)
Self-Harm
1.02272E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
5.6486E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
4.7372E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.016
Magnitude:
26
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.6
Flesch-Kincaid Ease
56.6
Gunning-Fog Score
12.2
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
11.3
Dale-Chall Readability Score
4.8
Sprache Readability Score
3.7
Dale-Chall Difficult Word Score
5
Sprache Difficult Word Count
6
Bob Kerrey
Mr. President, in my 9 years of being involved as a political representative, first as Governor and now as Senator, the most satisfying moment occurs when I know that as a consequence of Government's effort some individuals have increased their skills and can improve their capacity to do something. As a result of that effort, they now find themselves not just with a job, but a job that provides them with some sense of dignity, some sense of purpose.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.60944
Harvard-IV (Relative)
0.84615
Very Positive
Harvard-IV (Absolute)
0.84615
Very Positive
Harvard-IV (Logit)
2.12026
VADER
0.801
Very Positive
Moderation
Harassment
0.037515274
OpenAI Moderation v1 (007)
Violence
0.0027721366
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0027091201
OpenAI Moderation v1 (007)
Sexual
0.0012194885
OpenAI Moderation v1 (007)
Hate
0.0004556926
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003869452
OpenAI Moderation v1 (007)
Sexual > Minors
0.00035312
OpenAI Moderation v1 (007)
Self-Harm > Instructions
0.0001299483
OpenAI Moderation v1 (007)
Self-Harm > Intent
7.46468E-5
OpenAI Moderation v1 (007)
Hate > Threatening
1.90953E-5
OpenAI Moderation v1 (007)
Self-Harm
1.65613E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.14
Magnitude:
73
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
48.4
Gunning-Fog Score
15.1
Coleman-Liau Index
11.3
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
22
Sprache Difficult Word Count
24
Bob Kerrey
Mr. President, I got out of high school in 1961 in Lincoln, NE. In 1961 you could graduate from high school and you could get a job in Lincoln working for Goodyear, working for Burlington Northern, working for Cushman, working for Western Electric, working at AT&T at a manufacturing job. There were lots of jobs out there, Mr. President. And in 1961 the rule was you could go get a job, get married, support a family on that wage, you did a couple of years in the service, and when you got back from the service your work was waiting for you there, and you expected to be there for 40 or 45 years. All that was really required in 1961 was a willingness to work hard. A strong back was about all that it took in 1961.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
-0.25
Slightly Negative
Harvard-IV (Absolute)
-0.25
Slightly Negative
Harvard-IV (Logit)
-0.45199
VADER
0.772
Very Positive
Moderation
Harassment
0.0095405368
OpenAI Moderation v1 (007)
Violence
0.0048546055
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0025320283
OpenAI Moderation v1 (007)
Sexual
0.0007559269
OpenAI Moderation v1 (007)
Hate
0.000302999
OpenAI Moderation v1 (007)
Violence > Graphic
0.0002945372
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0001417498
OpenAI Moderation v1 (007)
Hate > Threatening
8.51777E-5
OpenAI Moderation v1 (007)
Sexual > Minors
7.59485E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.95866E-5
OpenAI Moderation v1 (007)
Self-Harm
2.67781E-5
OpenAI Moderation v1 (007)
Readability
Flesch-Kincaid Grade
5.8
Flesch-Kincaid Ease
84.5
Gunning-Fog Score
8.6
Coleman-Liau Index
7
SMOG Index
9.3
Automated Readability Index
5.5
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
25
Sprache Difficult Word Count
24
Bob Kerrey
Well, today that is not the case. There are not very many high- paying, low-skill jobs left in America. And so this job training effort is extremely important and may be one of the most important things that we are doing with taxpayer dollars. It may be one of the most important, one of the most satisfying things we can do with our taxes is to help individuals increase their skills so they are able to get the high-paying job.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.69231
Very Positive
Harvard-IV (Absolute)
0.69231
Very Positive
Harvard-IV (Logit)
1.52606
VADER
0.927
Very Positive
Moderation
Violence
0.0041087453
OpenAI Moderation v1 (007)
Sexual
0.0034002602
OpenAI Moderation v1 (007)
Harassment
0.0016161805
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0007838073
OpenAI Moderation v1 (007)
Violence > Graphic
0.0005506078
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001674715
OpenAI Moderation v1 (007)
Hate
0.0001308455
OpenAI Moderation v1 (007)
Hate > Threatening
1.04867E-5
OpenAI Moderation v1 (007)
Self-Harm
5.0983E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
3.706E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
8.599E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.097
Magnitude:
28
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
8.5
Flesch-Kincaid Ease
70.5
Gunning-Fog Score
11.6
Coleman-Liau Index
8.6
SMOG Index
11.3
Automated Readability Index
8.3
Dale-Chall Readability Score
3.7
Sprache Readability Score
4.1
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
12
Bob Kerrey
Mr. President, I am proud to be an original cosponsor of this legislation. I think it is extremely important both from the standpoint of reducing waste, making this Government operate better, showing the taxpayers we are vigilant to make certain their money is being well spent.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.55556
Very Positive
Harvard-IV (Absolute)
0.55556
Very Positive
Harvard-IV (Logit)
1.09861
VADER
0.888
Very Positive
Moderation
Sexual
0.0216171073
OpenAI Moderation v1 (007)
Violence
0.0075803851
OpenAI Moderation v1 (007)
Violence > Graphic
0.0043635762
OpenAI Moderation v1 (007)
Harassment > Threatening
0.003024718
OpenAI Moderation v1 (007)
Harassment
0.0018720335
OpenAI Moderation v1 (007)
Sexual > Minors
0.0006489342
OpenAI Moderation v1 (007)
Self-Harm > Intent
0.0002596199
OpenAI Moderation v1 (007)
Hate
0.0002299673
OpenAI Moderation v1 (007)
Self-Harm
0.0001561474
OpenAI Moderation v1 (007)
Hate > Threatening
6.18308E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
3.70937E-5
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
87.009
Magnitude:
72
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.1
Flesch-Kincaid Ease
49.7
Gunning-Fog Score
14
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
9.5
Dale-Chall Readability Score
4.9
Sprache Readability Score
3.8
Dale-Chall Difficult Word Score
12
Sprache Difficult Word Count
16
Bob Kerrey
I also believe it is extremely important because job training is the answer to the question of how do we create high-paying jobs in America. The answer is that we have to have site-specific training. We have to have training related to that business when they bring that new manufacturing equipment on line. They have to have the training effort there so the individuals can increase their skills to be able to handle new, modern, more complicated machinery.
Sentiment
Loughran McDonald (Relative)
-1
Very Negative
Loughran McDonald (Absolute)
-1
Very Negative
Loughran McDonald (Logit)
-1.60944
Harvard-IV (Relative)
0.66667
Very Positive
Harvard-IV (Absolute)
0.66667
Very Positive
Harvard-IV (Logit)
1.43508
VADER
0.667
Very Positive
Moderation
Violence
0.0069840993
OpenAI Moderation v1 (007)
Harassment
0.0012486837
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0010371479
OpenAI Moderation v1 (007)
Sexual
0.0008539055
OpenAI Moderation v1 (007)
Violence > Graphic
0.0003433941
OpenAI Moderation v1 (007)
Sexual > Minors
0.0001705015
OpenAI Moderation v1 (007)
Hate
0.0001499361
OpenAI Moderation v1 (007)
Hate > Threatening
5.1201E-6
OpenAI Moderation v1 (007)
Self-Harm
3.6664E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
2.008E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.4E-8
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
95.421
Magnitude:
23
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
55.4
Gunning-Fog Score
12.5
Coleman-Liau Index
11.6
SMOG Index
12
Automated Readability Index
10.5
Dale-Chall Readability Score
4.9
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
19
Bob Kerrey
So I hope that this piece of legislation is seen by the administration as a constructive effort to do precisely what the Vice President and the President have been talking about; streamlining the Government, making its performance review -- in fact, increase the performance of our Government. But equally important, I hope the administration sees this legislation as a way to make job training work and work for the purpose of increasing the skills of Americans and increasing the numbers of high-paying jobs in this country.
Sentiment
Loughran McDonald (Relative)
1
Very Positive
Loughran McDonald (Absolute)
1
Very Positive
Loughran McDonald (Logit)
1.09861
Harvard-IV (Relative)
0.81818
Very Positive
Harvard-IV (Absolute)
0.81818
Very Positive
Harvard-IV (Logit)
1.94591
VADER
0.847
Very Positive
Moderation
Violence
0.0052836465
OpenAI Moderation v1 (007)
Harassment
0.0025626341
OpenAI Moderation v1 (007)
Hate
0.0022225422
OpenAI Moderation v1 (007)
Harassment > Threatening
0.0009573014
OpenAI Moderation v1 (007)
Violence > Graphic
0.0004308105
OpenAI Moderation v1 (007)
Sexual
0.0002556324
OpenAI Moderation v1 (007)
Sexual > Minors
4.32978E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.9318E-6
OpenAI Moderation v1 (007)
Self-Harm
5.2103E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.776E-7
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.139E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
90.861
Magnitude:
82
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
27.4
Gunning-Fog Score
19
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
23
Sprache Difficult Word Count
22
David Durenberger
Mr. President, I am proud to join today with the distinguished ranking member of the Labor and Human Resources Committee, Senator Kassebaum, my friend and colleague from Nebraska, Senator Kerrey, and Senator Chafee, in introducing the Job Training Consolidation Act of 1994.
Sentiment
Loughran McDonald (Relative)
0
Neutral
Loughran McDonald (Absolute)
0
Neutral
Loughran McDonald (Logit)
0
Harvard-IV (Relative)
0.77778
Very Positive
Harvard-IV (Absolute)
0.77778
Very Positive
Harvard-IV (Logit)
1.7346
VADER
0.818
Very Positive
Moderation
Violence
0.0204112424
OpenAI Moderation v1 (007)
Sexual
0.0021231626
OpenAI Moderation v1 (007)
Harassment
0.001735058
OpenAI Moderation v1 (007)
Violence > Graphic
0.0009265037
OpenAI Moderation v1 (007)
Sexual > Minors
0.000643252
OpenAI Moderation v1 (007)
Harassment > Threatening
0.000379372
OpenAI Moderation v1 (007)
Hate
9.89957E-5
OpenAI Moderation v1 (007)
Hate > Threatening
8.29903E-5
OpenAI Moderation v1 (007)
Self-Harm
7.7593E-5
OpenAI Moderation v1 (007)
Self-Harm > Intent
6.95367E-5
OpenAI Moderation v1 (007)
Self-Harm > Instructions
1.7804E-6
OpenAI Moderation v1 (007)
Topics
Topic:
Domestic Commerce
Score:
78.037
Magnitude:
67
Code:
15
Url:
https://fsc.al/cap-mc#15
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
32.4
Gunning-Fog Score
10.3
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
8.2
Sprache Readability Score
4.7
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
18
David Durenberger
The Job Training Consolidation Act is a bold, necessary, thoughtful, and very serious attempt to reinvent the labyrinth of Federal programs that masquerades today as our Nation's reemployment and job training system.
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
0.563
Very Positive
Moderation
Violence
0.0318882405
OpenAI Moderation v1 (007)
Harassment
0.0030150504
OpenAI Moderation v1 (007)
Violence > Graphic
0.0012514483
OpenAI Moderation v1 (007)
Hate
0.0009117658
OpenAI Moderation v1 (007)
Sexual
0.0001638948
OpenAI Moderation v1 (007)
Harassment > Threatening
5.76648E-5
OpenAI Moderation v1 (007)
Self-Harm
4.18315E-5
OpenAI Moderation v1 (007)
Sexual > Minors
1.20405E-5
OpenAI Moderation v1 (007)
Hate > Threatening
3.0454E-6
OpenAI Moderation v1 (007)
Self-Harm > Intent
1.7666E-6
OpenAI Moderation v1 (007)
Self-Harm > Instructions
6.697E-7
OpenAI Moderation v1 (007)
Topics
Topic:
Labor
Score:
96.212
Magnitude:
87
Code:
5
Url:
https://fsc.al/cap-mc#5
Source:
Comparative Agendas
Readability
Flesch-Kincaid Grade
12
Flesch-Kincaid Ease
18.4
Gunning-Fog Score
19
Coleman-Liau Index
12
SMOG Index
12
Automated Readability Index
12
Dale-Chall Readability Score
9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
15
Sprache Difficult Word Count
15
David Durenberger
Senator Kassebaum has already described this initiative in some detail. I would just like to expand on some of the points she has made, and discuss my own reasons for supporting this legislation. In particular, I want to highlight the reasons I have decided to join with Senator Kassebaum and Senator Kerrey to support this initiative -- instead of the administration's Reemployment Act -- as the starting point for reshaping the hodgepodge of current training and income assistance programs into a coherent national system for reemployment.
Sentiment
Loughran McDonald (Relative)
0
Neutral