Jeff Sessions

OPENING STATEMENT OF HON. JEFF SESSIONS A U.S. SENATOR FROM THE STATE OF ALAMAMA

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

0.0429777778

OpenAI Moderation v1 (007)

Violence

0.0282360124

OpenAI Moderation v1 (007)

Hate

0.0108044514

OpenAI Moderation v1 (007)

Sexual

0.008556938

OpenAI Moderation v1 (007)

Violence > Graphic

0.0033795252

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0031412965

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007712398

OpenAI Moderation v1 (007)

Self-Harm

0.0006199442

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001522399

OpenAI Moderation v1 (007)

Hate > Threatening

5.24958E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.18018E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.5

Flesch-Kincaid Ease

62

Gunning-Fog Score

4.2

Coleman-Liau Index

9.3

SMOG Index

9

Automated Readability Index

0.5

Dale-Chall Readability Score

7.6

Sprache Readability Score

1.8

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

8

Jeff Sessions

Good morning. We will get started now, and I think Senator Biden will be joining us shortly.

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

0.44

Positive

Moderation

Harassment

0.080974045

OpenAI Moderation v1 (007)

Violence

0.0573443889

OpenAI Moderation v1 (007)

Hate

0.0171184263

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0140274511

OpenAI Moderation v1 (007)

Sexual

0.0038180802

OpenAI Moderation v1 (007)

Violence > Graphic

0.0028704542

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017805089

OpenAI Moderation v1 (007)

Self-Harm

0.0007543469

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002449299

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002050636

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.4814E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.4

Flesch-Kincaid Ease

78.8

Gunning-Fog Score

3.4

Coleman-Liau Index

9.5

SMOG Index

7.3

Automated Readability Index

3

Dale-Chall Readability Score

6

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

5

Jeff Sessions

I am pleased to begin the performance review by the Subcommittee on Youth Violence of programs funded through the Office of Justice Programs with this hearing. OJP is the grant- making arm of the Department of Justice, and the subcommittee's ultimate focus in looking at OJP will be on financial and performance accountability of OJP's programs -- bang for the buck.

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

0.796

Very Positive

Moderation

Violence

0.0153120403

OpenAI Moderation v1 (007)

Harassment

0.0089503686

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0058534795

OpenAI Moderation v1 (007)

Sexual

0.002831197

OpenAI Moderation v1 (007)

Hate

0.0020068224

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009935472

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003122221

OpenAI Moderation v1 (007)

Self-Harm

0.000173754

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.93719E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.14601E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.28912E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

39.6

Gunning-Fog Score

16

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

24

Sprache Difficult Word Count

23

Jeff Sessions

OJP's budget for a variety of criminal justice programs has increased from $695 million in fiscal year 1992 to $3.9 billion in fiscal year 2000. Much of this budget increase has resulted from the 1994 Violent Crime Act that created and enlarged numerous criminal justice programs. Today, OJP funds programs ranging from juvenile violence prevention efforts to community preparedness initiatives to drug treatment for incarcerated offenders. With all this money being spent for many different programs, it is time for performance analysis to begin.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.83321

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

0.0144656849

OpenAI Moderation v1 (007)

Harassment

0.0055854605

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0045312143

OpenAI Moderation v1 (007)

Sexual

0.0020741212

OpenAI Moderation v1 (007)

Hate

0.0010594662

OpenAI Moderation v1 (007)

Violence > Graphic

0.0009494939

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009375062

OpenAI Moderation v1 (007)

Self-Harm

0.0006567032

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.59931E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.86692E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.65113E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

37.5

Gunning-Fog Score

17.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

39

Sprache Difficult Word Count

35

Jeff Sessions

The analysis will focus on simple questions: What is the problem being addressed? What is the solution that Congress or OJP is advocating? How much does it cost? Does it work?

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

-0.331

Somewhat Negative

Moderation

Violence

0.0413350965

OpenAI Moderation v1 (007)

Sexual

0.0104760133

OpenAI Moderation v1 (007)

Harassment

0.0100935802

OpenAI Moderation v1 (007)

Sexual > Minors

0.0086658656

OpenAI Moderation v1 (007)

Violence > Graphic

0.007637409

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0052301522

OpenAI Moderation v1 (007)

Hate

0.003915152

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0004901013

OpenAI Moderation v1 (007)

Self-Harm

0.0003806147

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001524535

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001374508

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.9

Flesch-Kincaid Ease

73.4

Gunning-Fog Score

8.3

Coleman-Liau Index

10.8

SMOG Index

9

Automated Readability Index

3.7

Dale-Chall Readability Score

4.5

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

11

Jeff Sessions

The Subcommittee on Youth Violence has developed an oversight plan that I will place in the record. The first area that the subcommittee will examine is OJP's substance abuse programs. These programs run from prevention programs to treatment programs to reentry programs. For today's hearing, we will be looking at one of these -- drug court programs.

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

-0.852

Very Negative

Moderation

Violence > Graphic

0.0224998701

OpenAI Moderation v1 (007)

Violence

0.0206555764

OpenAI Moderation v1 (007)

Harassment

0.0073234303

OpenAI Moderation v1 (007)

Sexual

0.0036869296

OpenAI Moderation v1 (007)

Harassment > Threatening

0.002836459

OpenAI Moderation v1 (007)

Sexual > Minors

0.0014570202

OpenAI Moderation v1 (007)

Hate

0.0003943569

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.40473E-5

OpenAI Moderation v1 (007)

Self-Harm

5.39015E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.05156E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.1959E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.2

Flesch-Kincaid Ease

61.2

Gunning-Fog Score

9.2

Coleman-Liau Index

12

SMOG Index

10.8

Automated Readability Index

9.6

Dale-Chall Readability Score

7.2

Sprache Readability Score

4

Dale-Chall Difficult Word Score

23

Sprache Difficult Word Count

20

Jeff Sessions

What is the problem being addressed? Well, drug use leads to crime. At least it is clear that drugs are an accelerator to crime. A recent OJP report entitled "The 1999 Annual Report on Drug Use among Adult and Juvenile Arrestees" revealed the troubling statistic that over 60 percent of 30,000 male arrestees from 27 of 34 different sites and cities around the country tested positive for either cocaine, marijuana, methamphetamine, opiates, PCP, and in some cases several of those drugs. Those numbers have not changed since the mid- 1980's at least, if not the early 1980's. Sixty percent plus -- often as high as 66 percent -- have drug-tested positive for just any crime for which they were arrested, whether it be burglary, shoplifting, or robbery.

Sentiment

Loughran McDonald (Relative)

-0.33333

Somewhat Negative

Loughran McDonald (Absolute)

-0.33333

Somewhat Negative

Loughran McDonald (Logit)

-0.61904

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

-0.778

Very Negative

Moderation

Sexual

0.0172346932

OpenAI Moderation v1 (007)

Violence

0.0110782072

OpenAI Moderation v1 (007)

Sexual > Minors

0.0100060563

OpenAI Moderation v1 (007)

Violence > Graphic

0.0070151167

OpenAI Moderation v1 (007)

Harassment

0.0036240919

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0019987299

OpenAI Moderation v1 (007)

Hate

0.0009330546

OpenAI Moderation v1 (007)

Self-Harm

0.0003071334

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.12108E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.81111E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.70017E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.2

Flesch-Kincaid Ease

59.5

Gunning-Fog Score

13.2

Coleman-Liau Index

10.9

SMOG Index

12

Automated Readability Index

10.5

Dale-Chall Readability Score

6.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

45

Sprache Difficult Word Count

37

Jeff Sessions

The old choices have been prison, which is costly, or probation, which has proven to be unsatisfactory. Even with offenders being prosecuted, while they are being tried to be sent to jail, they often are released on parole and often are released on bail prior to trial. So they are out at that time; if they are still strung out on drugs, they may well be committing crimes.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

-0.6

Very Negative

Harvard-IV (Absolute)

-0.6

Very Negative

Harvard-IV (Logit)

-1.22378

VADER

-0.751

Very Negative

Moderation

Sexual

0.0175887399

OpenAI Moderation v1 (007)

Violence

0.0045680579

OpenAI Moderation v1 (007)

Violence > Graphic

0.0029650086

OpenAI Moderation v1 (007)

Sexual > Minors

0.0027245022

OpenAI Moderation v1 (007)

Self-Harm

0.0005646625

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004185087

OpenAI Moderation v1 (007)

Harassment

0.0003029441

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.47912E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.90748E-5

OpenAI Moderation v1 (007)

Hate

1.76945E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.3711E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.3

Flesch-Kincaid Ease

61.9

Gunning-Fog Score

13.2

Coleman-Liau Index

9.9

SMOG Index

12

Automated Readability Index

10.5

Dale-Chall Readability Score

4.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

20

Jeff Sessions

As a Federal prosecutor for 15 years, I saw firsthand how drugs can gain control of and destroy people. Drugs sap the will to work and can be responsible for and accelerate crime. There is indeed a problem. So drug courts have been used for a decade. Is that a solution to our crime problem? I remember vividly -- and Judge McMaken, is here from Mobile who was at that meeting in the late 1980's -- when I was U.S. attorney, we brought up Judge Goldstein from Miami, who I believe is generally credited with creating the drug court. Judge Goldstein was extraordinarily enthusiastic, as anybody who knows him knows, and he suggested incredible results from drug courts -- just unbelievable reductions in recidivist rates. In fact, they were so unbelievable, I told him they were unbelievable, but I did tell him if he could get 25 percent of what he said, that would probably be progress, and we ought to consider a drug court. I really arranged that meeting. Judge McMaken came and became interested in it, and eventually the City and County of Mobile created an eminent, first-rate drug court.

Sentiment

Loughran McDonald (Relative)

-0.33333

Somewhat Negative

Loughran McDonald (Absolute)

-0.33333

Somewhat Negative

Loughran McDonald (Logit)

-0.61904

Harvard-IV (Relative)

0.2

Leans Positive

Harvard-IV (Absolute)

0.2

Leans Positive

Harvard-IV (Logit)

0.39204

VADER

0.877

Very Positive

Moderation

Violence > Graphic

0.0388554006

OpenAI Moderation v1 (007)

Harassment

0.0215122869

OpenAI Moderation v1 (007)

Violence

0.016407184

OpenAI Moderation v1 (007)

Sexual

0.0082967679

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0043847878

OpenAI Moderation v1 (007)

Hate

0.0020322077

OpenAI Moderation v1 (007)

Sexual > Minors

0.0019195471

OpenAI Moderation v1 (007)

Self-Harm

0.0001513844

OpenAI Moderation v1 (007)

Hate > Threatening

1.49255E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.6827E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.597E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.8

Flesch-Kincaid Ease

60.5

Gunning-Fog Score

11.6

Coleman-Liau Index

10.8

SMOG Index

12

Automated Readability Index

7.8

Dale-Chall Readability Score

4.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

50

Sprache Difficult Word Count

48

Jeff Sessions

Drug court programs do serve as an alternative to trial and imprisonment for nonviolent offenders. If the offender enrolls in the program, he will be required to complete a period of months without testing positive for drug use, to perform community service, to complete certain educational requirements, and to hold down a job. If he fails, he will be sent back to the regular criminal justice system.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.29928

Harvard-IV (Relative)

-0.07692

Neutral

Harvard-IV (Absolute)

-0.07692

Neutral

Harvard-IV (Logit)

-0.1431

VADER

-0.755

Very Negative

Moderation

Sexual

0.1316857524

OpenAI Moderation v1 (007)

Hate

0.0207119403

OpenAI Moderation v1 (007)

Sexual > Minors

0.0159029078

OpenAI Moderation v1 (007)

Violence

0.0105521896

OpenAI Moderation v1 (007)

Harassment

0.0083231396

OpenAI Moderation v1 (007)

Self-Harm

0.0030654392

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0016594477

OpenAI Moderation v1 (007)

Violence > Graphic

0.0014929749

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008955311

OpenAI Moderation v1 (007)

Hate > Threatening

0.000369073

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001691364

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44

Gunning-Fog Score

16.1

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

25

Sprache Difficult Word Count

25

Jeff Sessions

Congress has, however, allowed local drug courts much flexibility in how they operate, with a few notable exceptions. These exceptions include several things, such as requiring continued judicial supervision over drug court participants. Judge Goldstein explained he believed that personal supervision by the judge over the defendant was key to success. Mandatory periodic testing for drug use is, in my view, an essential component of every step of the criminal justice system. Our failure to do that systematically throughout the criminal justice system is one of the greatest failures in our system, but it is done consistently in drug courts. Drug courts also must have substance abuse treatment for each participant and exclude violent offenders in order to receive Federal funding from the Drug Court Program Office.

Sentiment

Loughran McDonald (Relative)

-0.6

Very Negative

Loughran McDonald (Absolute)

-0.6

Very Negative

Loughran McDonald (Logit)

-1.22378

Harvard-IV (Relative)

0.15789

Leans Positive

Harvard-IV (Absolute)

0.15789

Leans Positive

Harvard-IV (Logit)

0.30228

VADER

-0.944

Very Negative

Moderation

Harassment

0.0966469699

OpenAI Moderation v1 (007)

Violence > Graphic

0.0140869248

OpenAI Moderation v1 (007)

Sexual

0.0114048198

OpenAI Moderation v1 (007)

Violence

0.0079287456

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0043236414

OpenAI Moderation v1 (007)

Hate

0.0034133562

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006119199

OpenAI Moderation v1 (007)

Self-Harm

0.0001990317

OpenAI Moderation v1 (007)

Hate > Threatening

6.28394E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.7274E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.0525E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

33.5

Gunning-Fog Score

17.3

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

55

Sprache Difficult Word Count

48

Jeff Sessions

Many of the participatants in drug courts fail. The best numbers I have been able to see -- and if others have different numbers I would like to hear them -- state that throughout our history of drug courts, 200,000 participants have enrolled 50,000 have completed and graduated, and 65,000 are still enrolled, which would indicate some 80,000 offenders have failed or either been sentenced, dropped out of the program maybe even gone to jail.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.3979

Harvard-IV (Relative)

-0.27273

Slightly Negative

Harvard-IV (Absolute)

-0.27273

Slightly Negative

Harvard-IV (Logit)

-0.51083

VADER

-0.402

Negative

Moderation

Violence

0.3619805211

OpenAI Moderation v1 (007)

Harassment > Threatening

0.1266129664

OpenAI Moderation v1 (007)

Harassment

0.1198674086

OpenAI Moderation v1 (007)

Self-Harm

0.0166087862

OpenAI Moderation v1 (007)

Sexual

0.0060483962

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015887075

OpenAI Moderation v1 (007)

Hate

0.0014437267

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013393216

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007850565

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003633923

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002795588

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

55.7

Gunning-Fog Score

19

Coleman-Liau Index

9.7

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

18

Jeff Sessions

How much does it cost? It is my understanding that there are currently around 560 drug court programs operating in the United States with 293 additional programs being planned. This chart here on my right shows the dramatic increase in drug courts from one in the late 1980's to 567 by 2000. That is a dramatic increase, and it also shows an increase in Federal funding.

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

0.827

Very Positive

Moderation

Violence

0.2506441902

OpenAI Moderation v1 (007)

Harassment

0.118975353

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0910361821

OpenAI Moderation v1 (007)

Self-Harm

0.0101580808

OpenAI Moderation v1 (007)

Sexual > Minors

0.0080176338

OpenAI Moderation v1 (007)

Sexual

0.0044961984

OpenAI Moderation v1 (007)

Violence > Graphic

0.0044206008

OpenAI Moderation v1 (007)

Hate

0.0040458344

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0020208457

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001271567

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000118092

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.9

Flesch-Kincaid Ease

74.7

Gunning-Fog Score

10.2

Coleman-Liau Index

9.3

SMOG Index

11.3

Automated Readability Index

6.9

Dale-Chall Readability Score

5.1

Sprache Readability Score

4.1

Dale-Chall Difficult Word Score

18

Sprache Difficult Word Count

18

Jeff Sessions

These figures on the right show that 1992 appropriations of $3.4 million increased to $57 million by 1999. That figure represents Federal support for drug courts. It is not what they cost, because I am sure most drug court judges will tell us the State and local systems contribute substantially to these 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

0.727

Very Positive

Moderation

Sexual

0.1868377673

OpenAI Moderation v1 (007)

Self-Harm

0.0362391205

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0199194139

OpenAI Moderation v1 (007)

Harassment

0.0129797307

OpenAI Moderation v1 (007)

Violence

0.0092789189

OpenAI Moderation v1 (007)

Violence > Graphic

0.0060683567

OpenAI Moderation v1 (007)

Hate

0.0035601039

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0023246839

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015155979

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005783739

OpenAI Moderation v1 (007)

Hate > Threatening

1.9122E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.2

Flesch-Kincaid Ease

67.6

Gunning-Fog Score

12.3

Coleman-Liau Index

11.2

SMOG Index

12

Automated Readability Index

9

Dale-Chall Readability Score

4.7

Sprache Readability Score

4.1

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

16

Jeff Sessions

Over the past 10 years, OJP has spent a total of around $180 million on drug courts. That is a lot of money, and if we are going to continue to spend that much money on a program, the American people deserve to know if it works. While there has been no comprehensive nationwide study of all drug courts, scientific studies of various individual drug courts have given us some indication of how they work and do indicate that they have shown positive results.

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)

1.22378

VADER

0.527

Very Positive

Moderation

Violence

0.0346981571

OpenAI Moderation v1 (007)

Harassment

0.0281321583

OpenAI Moderation v1 (007)

Sexual

0.016121802

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0108433109

OpenAI Moderation v1 (007)

Sexual > Minors

0.0018547165

OpenAI Moderation v1 (007)

Violence > Graphic

0.0014438602

OpenAI Moderation v1 (007)

Self-Harm

0.0002887751

OpenAI Moderation v1 (007)

Hate

0.000191356

OpenAI Moderation v1 (007)

Hate > Threatening

3.22623E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.27319E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.2882E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

56.6

Gunning-Fog Score

16

Coleman-Liau Index

9.6

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

19

Sprache Difficult Word Count

22

Jeff Sessions

For example, studies have shown that criminal recidivism, measured by rearrests, ranges from 12 percent to 32 percent for offenders who were not enrolled in a drug court program. That is a pretty broad number, and it raises questions in my mind about the rigor of those tests and what cohort was being tested. But 12 to 32 percent, according to the studies we have of offenders who are not enrolled in a drug court are rearrested.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

-0.23077

Slightly Negative

Harvard-IV (Absolute)

-0.23077

Slightly Negative

Harvard-IV (Logit)

-0.43532

VADER

-0.599

Very Negative

Moderation

Sexual

0.0783053227

OpenAI Moderation v1 (007)

Violence > Graphic

0.0341752806

OpenAI Moderation v1 (007)

Violence

0.0099575511

OpenAI Moderation v1 (007)

Harassment

0.0031321248

OpenAI Moderation v1 (007)

Sexual > Minors

0.0022629389

OpenAI Moderation v1 (007)

Hate

0.0003628393

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003552188

OpenAI Moderation v1 (007)

Self-Harm

0.0002856297

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.01191E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.1822E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.2662E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.3

Flesch-Kincaid Ease

59.9

Gunning-Fog Score

14.4

Coleman-Liau Index

10

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

23

Jeff Sessions

For offenders enrolled in a drug court program, the recidivism rate has been reported to drop to between 4 percent and 12 percent during the 1- to 2-year period when they are in the drug court. So this would be a drop of some significance, but we need to be sure we are not comparing apples to oranges and that we have an honest number here. It is obvious to me that we don't have a panacea.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

-0.33333

Somewhat Negative

Harvard-IV (Absolute)

-0.33333

Somewhat Negative

Harvard-IV (Logit)

-0.58779

VADER

0.762

Very Positive

Moderation

Violence

0.0146529899

OpenAI Moderation v1 (007)

Sexual

0.0116845556

OpenAI Moderation v1 (007)

Harassment

0.0048904352

OpenAI Moderation v1 (007)

Sexual > Minors

0.0039068607

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0029538382

OpenAI Moderation v1 (007)

Hate

0.0013728852

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006460437

OpenAI Moderation v1 (007)

Self-Harm

0.0002359222

OpenAI Moderation v1 (007)

Hate > Threatening

1.65853E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.8076E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.2872E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.3

Flesch-Kincaid Ease

67.6

Gunning-Fog Score

15

Coleman-Liau Index

7

SMOG Index

12

Automated Readability Index

9.8

Dale-Chall Readability Score

4.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

15

Jeff Sessions

For example, for recidivism after drug courts -- that is, after they have completed their time in the drug court -- the studies showed that a control group that had never been through a drug court program had rearrests of approximately 36 percent. The rearrest rate for those who had gone through a drug program was 27 percent. That is an 11 percent change. You would say that is a 25 percent reduction and that is significant progress worthy of our attention, but in the long run, you are talking about an improvement of 11 of 100. Eleven fewer out of the 100 would have been rearrested had they gone through a drug court program as opposed to not going through one, according to numbers that we have.

Sentiment

Loughran McDonald (Relative)

0.33333

Somewhat Positive

Loughran McDonald (Absolute)

0.33333

Somewhat Positive

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

0.805

Very Positive

Moderation

Violence

0.0602638931

OpenAI Moderation v1 (007)

Sexual

0.0234963707

OpenAI Moderation v1 (007)

Harassment

0.0179019771

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0066760949

OpenAI Moderation v1 (007)

Sexual > Minors

0.0032344135

OpenAI Moderation v1 (007)

Violence > Graphic

0.0031537831

OpenAI Moderation v1 (007)

Hate

0.0003430743

OpenAI Moderation v1 (007)

Self-Harm

0.0002666842

OpenAI Moderation v1 (007)

Hate > Threatening

7.135E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.7194E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.6524E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.1

Flesch-Kincaid Ease

67.8

Gunning-Fog Score

13.9

Coleman-Liau Index

9.7

SMOG Index

12

Automated Readability Index

11.5

Dale-Chall Readability Score

5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

30

Sprache Difficult Word Count

25

Jeff Sessions

Despite the obstacles, the subcommittee understands that drug courts are demonstrating positive results for addicted offenders and reducing recidivism and drug use, at least for certain periods of time. We will be looking at that in more detail, and I think it is important that we do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.14286

Leans Positive

Harvard-IV (Absolute)

0.14286

Leans Positive

Harvard-IV (Logit)

0.25131

VADER

0.667

Very Positive

Moderation

Violence

0.0567764393

OpenAI Moderation v1 (007)

Harassment

0.0265098322

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0218755187

OpenAI Moderation v1 (007)

Violence > Graphic

0.0129948152

OpenAI Moderation v1 (007)

Sexual

0.00645443

OpenAI Moderation v1 (007)

Hate

0.0019436171

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002529693

OpenAI Moderation v1 (007)

Self-Harm

0.0001058828

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.16944E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.53434E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.23088E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

42.6

Gunning-Fog Score

18.8

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.2

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

16

Jeff Sessions

Another part of the does-it-work inquiry is how can we improve drug courts. I am particularly interested in discovering what the Federal Government is doing with research. Has the DOJ pinpointed the most effective elements of current drug court programs in order to guide fledgling and existing drug courts? Instead of allowing the Federal Government to run drug courts around the country, I believe our best contribution would be to provide blue ribbon research and training for drug and crime programs.

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

0.873

Very Positive

Moderation

Sexual

0.0879147032

OpenAI Moderation v1 (007)

Violence

0.0214318279

OpenAI Moderation v1 (007)

Harassment

0.013289701

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0060944887

OpenAI Moderation v1 (007)

Hate

0.0044234472

OpenAI Moderation v1 (007)

Violence > Graphic

0.0023708586

OpenAI Moderation v1 (007)

Sexual > Minors

0.0019178491

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0017073655

OpenAI Moderation v1 (007)

Self-Harm

0.0011756794

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007684816

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001769954

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.3

Flesch-Kincaid Ease

51.2

Gunning-Fog Score

12.6

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

27

Sprache Difficult Word Count

26

Jeff Sessions

Indeed, Fred Thompson, who formerly chaired this committee, strongly believed that the virtually exclusive role of the Department of Justice in youth violence should be to provide the best blue ribbon scientific evidence possible to our State and local systems where our juvenile court systems actually function. Marshalling monetary resources, data, and the accumulated criminal justice experience of coordinated Federal agencies, the Department of Justice can make a real difference in this arena.

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

0.813

Very Positive

Moderation

Harassment

0.0161813878

OpenAI Moderation v1 (007)

Violence

0.0123480029

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0120828554

OpenAI Moderation v1 (007)

Sexual

0.0053243682

OpenAI Moderation v1 (007)

Violence > Graphic

0.0012839248

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005669076

OpenAI Moderation v1 (007)

Hate

0.00031303

OpenAI Moderation v1 (007)

Self-Harm

0.00012569

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.56268E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.10997E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.1408E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

7.5

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

37

Sprache Difficult Word Count

38

Jeff Sessions

OJP has informed the subcommittee that it is funding a multistage National Institute of Justice evaluation of drug courts that, when completed, will provide a clearer portrait of drug court effectiveness and the best practices. This is a critical step, and it will be something I would like to hear more about. I have some concern about why we haven't done more research sooner. Indeed, we are going from zero to 500 and 600 drug courts, with more planned, and it seems to me we are awfully late in getting blue ribbon research.

Sentiment

Loughran McDonald (Relative)

-0.2

Slightly Negative

Loughran McDonald (Absolute)

-0.2

Slightly Negative

Loughran McDonald (Logit)

-0.33647

Harvard-IV (Relative)

0.2

Leans Positive

Harvard-IV (Absolute)

0.2

Leans Positive

Harvard-IV (Logit)

0.36772

VADER

0.832

Very Positive

Moderation

Harassment

0.210723374

OpenAI Moderation v1 (007)

Violence

0.0895982259

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0354655553

OpenAI Moderation v1 (007)

Hate

0.0063302796

OpenAI Moderation v1 (007)

Violence > Graphic

0.0018972076

OpenAI Moderation v1 (007)

Sexual

0.0006398459

OpenAI Moderation v1 (007)

Sexual > Minors

2.38037E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.28158E-5

OpenAI Moderation v1 (007)

Self-Harm

3.7227E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.927E-7

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.073E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.5

Flesch-Kincaid Ease

61.3

Gunning-Fog Score

13.2

Coleman-Liau Index

10.7

SMOG Index

12

Automated Readability Index

11.4

Dale-Chall Readability Score

5.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

25

Sprache Difficult Word Count

27

Jeff Sessions

Further, it is my understanding that OJP provides thorough training and technical assistance to local courts to assist them in building strong drug court programs and in promoting long-term sustainability.

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

0.7

Very Positive

Moderation

Harassment

0.1425038208

OpenAI Moderation v1 (007)

Violence

0.0455863541

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0124103055

OpenAI Moderation v1 (007)

Violence > Graphic

0.0075466021

OpenAI Moderation v1 (007)

Hate

0.0033327626

OpenAI Moderation v1 (007)

Sexual

0.0005093453

OpenAI Moderation v1 (007)

Self-Harm

7.91612E-5

OpenAI Moderation v1 (007)

Sexual > Minors

4.8002E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.9209E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.40083E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.5597E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

30.7

Gunning-Fog Score

18.9

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

13

Sprache Difficult Word Count

17

Jeff Sessions

So we are privileged today to have an excellent list of witnesses. On the first panel will be Acting Assistant Attorney General Mary Lou Leary. Ms. Leary was designated by the President to serve as Acting Assistant Attorney General of OJP in February of this year -- not too long ago. We certainly can't blame you for problems that occurred last year, can we?

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

0.791

Very Positive

Moderation

Sexual

0.0652852876

OpenAI Moderation v1 (007)

Sexual > Minors

0.0184120989

OpenAI Moderation v1 (007)

Violence

0.0069142072

OpenAI Moderation v1 (007)

Harassment

0.0051346393

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000596119

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004651574

OpenAI Moderation v1 (007)

Hate

0.000425021

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001775199

OpenAI Moderation v1 (007)

Self-Harm

9.93054E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.56534E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.78E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.9

Flesch-Kincaid Ease

61.1

Gunning-Fog Score

7.6

Coleman-Liau Index

11

SMOG Index

11.7

Automated Readability Index

6.3

Dale-Chall Readability Score

5.9

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

21

Sprache Difficult Word Count

19

Mary Leary

No.

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

-0.296

Slightly Negative

Moderation

Violence

0.0657164957

OpenAI Moderation v1 (007)

Sexual

0.0184420016

OpenAI Moderation v1 (007)

Harassment

0.0075160213

OpenAI Moderation v1 (007)

Violence > Graphic

0.0039562117

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014742355

OpenAI Moderation v1 (007)

Sexual > Minors

0.000845063

OpenAI Moderation v1 (007)

Hate

0.0005527955

OpenAI Moderation v1 (007)

Self-Harm

0.0001490714

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.71328E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.12099E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.448E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

0

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

Jeff Sessions

In 1998, Ms. Leary was appointed as Deputy Associate Attorney General, and from October 1999 until coming to OJP, she served as chief of staff to the Associate Attorney General at the U.S. Department of Justice. She was Acting Director of the Community-Oriented Policing Services Office from June to October 1999. She served as U.S. Attorney for the District of Columbia, which has got to be a challenge, from July 1997 to January 1998. Indeed, I may ask Ms. Leary about the exceptional drug testing program used in the District of Columbia.

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)

0.63599

VADER

0.572

Very Positive

Moderation

Harassment

0.2304182388

OpenAI Moderation v1 (007)

Violence

0.0396437594

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0089098423

OpenAI Moderation v1 (007)

Violence > Graphic

0.006935087

OpenAI Moderation v1 (007)

Hate

0.006687711

OpenAI Moderation v1 (007)

Sexual > Minors

0.0021933107

OpenAI Moderation v1 (007)

Hate > Threatening

0.0012350394

OpenAI Moderation v1 (007)

Sexual

0.0008625788

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005768728

OpenAI Moderation v1 (007)

Self-Harm

0.0001044459

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.56775E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.5

Flesch-Kincaid Ease

58.3

Gunning-Fog Score

5.5

Coleman-Liau Index

9.8

SMOG Index

11.5

Automated Readability Index

3.8

Dale-Chall Readability Score

6.5

Sprache Readability Score

4.4

Dale-Chall Difficult Word Score

36

Sprache Difficult Word Count

31

Jeff Sessions

Ms. Leary, would you raise your right hand, and I will administer the oath?

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

0.494

Positive

Moderation

Violence

0.0163371209

OpenAI Moderation v1 (007)

Harassment

0.0058800157

OpenAI Moderation v1 (007)

Violence > Graphic

0.0053856424

OpenAI Moderation v1 (007)

Sexual

0.002648448

OpenAI Moderation v1 (007)

Sexual > Minors

0.0023312796

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0017642218

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007652242

OpenAI Moderation v1 (007)

Self-Harm

0.0005489379

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004229952

OpenAI Moderation v1 (007)

Hate

0.000265042

OpenAI Moderation v1 (007)

Hate > Threatening

2.55675E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

91

Gunning-Fog Score

5.7

Coleman-Liau Index

8.6

SMOG Index

7.3

Automated Readability Index

1.6

Dale-Chall Readability Score

4.9

Sprache Readability Score

1.8

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

3

Jeff Sessions

Do you solemnly swear that the testimony you give to this subcommittee will be the truth, the whole truth, and nothing but the truth so help you God?

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

0.627

Very Positive

Moderation

Harassment

0.0899767911

OpenAI Moderation v1 (007)

Violence

0.0394459232

OpenAI Moderation v1 (007)

Hate

0.0196249806

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0074062678

OpenAI Moderation v1 (007)

Self-Harm

0.006841791

OpenAI Moderation v1 (007)

Sexual

0.0024338136

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011405495

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001835341

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001276707

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.51877E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.89914E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.9

Flesch-Kincaid Ease

66.6

Gunning-Fog Score

15.5

Coleman-Liau Index

9.2

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

3.1

Sprache Readability Score

4.5

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Mary Leary

I do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Harassment

0.0226912438

OpenAI Moderation v1 (007)

Violence

0.0068066496

OpenAI Moderation v1 (007)

Sexual

0.0054580636

OpenAI Moderation v1 (007)

Self-Harm

0.0030265584

OpenAI Moderation v1 (007)

Hate

0.0023669187

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0020102472

OpenAI Moderation v1 (007)

Sexual > Minors

0.0016729206

OpenAI Moderation v1 (007)

Violence > Graphic

0.001245285

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000676705

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0006528746

OpenAI Moderation v1 (007)

Hate > Threatening

3.38607E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

Jeff Sessions

Thank you. Be seated. We will be glad to hear your statement at this 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)

1.60944

VADER

0.671

Very Positive

Moderation

Sexual

0.431433972

OpenAI Moderation v1 (007)

Harassment

0.0114825692

OpenAI Moderation v1 (007)

Violence

0.0094200404

OpenAI Moderation v1 (007)

Violence > Graphic

0.0062755906

OpenAI Moderation v1 (007)

Hate

0.0058636811

OpenAI Moderation v1 (007)

Sexual > Minors

0.0045351917

OpenAI Moderation v1 (007)

Self-Harm

0.0037084643

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011585965

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.001044811

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004122408

OpenAI Moderation v1 (007)

Hate > Threatening

7.51903E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2

Coleman-Liau Index

6.5

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

2.4

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Jeff Sessions

STATEMENT OF MARY LOU LEARY, ACTING ASSISTANT ATTORNEY GENERAL, OFFICE OF JUSTICE PROGRAMS, DEPARTMENT OF JUSTICE, WASHINGTON, DC Ms. Leary. Thank you, Mr. Chairman.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.94591

VADER

0.895

Very Positive

Moderation

Harassment

0.7341287099

OpenAI Moderation v1 (007)

Violence

0.0955003256

OpenAI Moderation v1 (007)

Hate

0.0856271305

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0337566424

OpenAI Moderation v1 (007)

Violence > Graphic

0.0141097116

OpenAI Moderation v1 (007)

Sexual

0.0027847807

OpenAI Moderation v1 (007)

Self-Harm

0.0021066628

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013629473

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003786188

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001917435

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001527199

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

45.6

Gunning-Fog Score

2.4

Coleman-Liau Index

12

SMOG Index

9.7

Automated Readability Index

7.5

Dale-Chall Readability Score

10

Sprache Readability Score

2.7

Dale-Chall Difficult Word Score

17

Sprache Difficult Word Count

16

Jeff Sessions

I appreciate this opportunity to provide you with information about the work of the Office of Justice Programs in preventing and controlling illegal drug use, particularly among our young people. Drug prevention has long been a priority for OJP, and we currently support a wide range of intervention initiatives to prevent and intervene in drug use, sanction and treat drug-abusing offenders, and follow up with community- based services after incarceration.

Sentiment

Loughran McDonald (Relative)

-0.55556

Very Negative

Loughran McDonald (Absolute)

-0.55556

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.23077

Slightly Positive

Harvard-IV (Absolute)

0.23077

Slightly Positive

Harvard-IV (Logit)

0.43532

VADER

0.66

Very Positive

Moderation

Harassment

0.0374747207

OpenAI Moderation v1 (007)

Violence

0.013173098

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0072473638

OpenAI Moderation v1 (007)

Self-Harm

0.0063113112

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0055283679

OpenAI Moderation v1 (007)

Violence > Graphic

0.0038386526

OpenAI Moderation v1 (007)

Hate

0.0010574494

OpenAI Moderation v1 (007)

Sexual

0.0009724842

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007732777

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002610902

OpenAI Moderation v1 (007)

Hate > Threatening

7.33136E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

13.5

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

30

Sprache Difficult Word Count

30

Jeff Sessions

Mr. Chairman, from our experience as prosecutors, you and I both have seen the terrible toll that drugs can take on individuals and on communities, but we have also seen the impact that innovative programming can have on illegal drug use, drug-related crime, and improving opportunities for young people to grow up in a productive and fear-free environment.

Sentiment

Loughran McDonald (Relative)

0.2

Leans Positive

Loughran McDonald (Absolute)

0.2

Leans Positive

Loughran McDonald (Logit)

0.33647

Harvard-IV (Relative)

0.45455

Positive

Harvard-IV (Absolute)

0.45455

Positive

Harvard-IV (Logit)

0.8873

VADER

-0.19

Leans Negative

Moderation

Harassment > Threatening

0.0595435151

OpenAI Moderation v1 (007)

Harassment

0.0355867029

OpenAI Moderation v1 (007)

Self-Harm

0.0296528742

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0248746335

OpenAI Moderation v1 (007)

Violence

0.0242381604

OpenAI Moderation v1 (007)

Violence > Graphic

0.0168828919

OpenAI Moderation v1 (007)

Sexual

0.0035876314

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0022546197

OpenAI Moderation v1 (007)

Hate

0.0006738373

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002595161

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001256806

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

38.2

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

21

Jeff Sessions

As you mentioned, I did have the opportunity to serve in the U.S. Attorney's Office, and there I had the privilege of working with the former U.S. attorney, Jay Stephens, to establish the first Weed and Seed site in Washington, DC. That is a program that former U.S. Attorney and now Deputy Attorney General Eric Holder also strongly supported.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

0.66667

Very Positive

Harvard-IV (Absolute)

0.66667

Very Positive

Harvard-IV (Logit)

1.29928

VADER

0.827

Very Positive

Moderation

Violence

0.012048777

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0086540895

OpenAI Moderation v1 (007)

Harassment

0.0048517591

OpenAI Moderation v1 (007)

Sexual

0.001065046

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004661815

OpenAI Moderation v1 (007)

Self-Harm

0.0003635757

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001733301

OpenAI Moderation v1 (007)

Hate

0.0001440392

OpenAI Moderation v1 (007)

Hate > Threatening

3.36088E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.65213E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.34094E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.9

Flesch-Kincaid Ease

66.6

Gunning-Fog Score

7.6

Coleman-Liau Index

10

SMOG Index

10

Automated Readability Index

3.1

Dale-Chall Readability Score

5.5

Sprache Readability Score

3.5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

23

Jeff Sessions

That is one I personally was involved with and strongly believe in also.

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

0.273

Slightly Positive

Moderation

Violence

0.0108376466

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0072766779

OpenAI Moderation v1 (007)

Harassment

0.0038181566

OpenAI Moderation v1 (007)

Sexual

0.0011440528

OpenAI Moderation v1 (007)

Hate

0.0004312409

OpenAI Moderation v1 (007)

Violence > Graphic

0.0002436385

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002428211

OpenAI Moderation v1 (007)

Self-Harm

0.0002028574

OpenAI Moderation v1 (007)

Hate > Threatening

1.08815E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.04204E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.3095E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

63.5

Gunning-Fog Score

8.3

Coleman-Liau Index

10.9

SMOG Index

9

Automated Readability Index

6.4

Dale-Chall Readability Score

4.3

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Mary Leary

I realize that. I know that you have firsthand knowledge from your experience as U.S. attorney with how much of a difference Weed and Seed can make in a community, and from a handful of programs at the very beginning, Weed and Seed has now grown, and we have over 200 sites across the country at this point in time.

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

Neutral

Moderation

Violence

0.0169763734

OpenAI Moderation v1 (007)

Sexual

0.0103612743

OpenAI Moderation v1 (007)

Violence > Graphic

0.0070610513

OpenAI Moderation v1 (007)

Harassment

0.003724303

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0031671741

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003785946

OpenAI Moderation v1 (007)

Hate

0.0001285819

OpenAI Moderation v1 (007)

Self-Harm

0.0001013318

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.13167E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.854E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.8308E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6

Flesch-Kincaid Ease

79

Gunning-Fog Score

10

Coleman-Liau Index

7.9

SMOG Index

10.3

Automated Readability Index

5.2

Dale-Chall Readability Score

3.3

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

14

Mary Leary

As you know, these programs support law enforcement to weed out drug dealing and violent crime and gangs, and then they bring in social services and the like to help revitalize communities. We have had evaluation teams looking at Weed and Seed, and we know that there are things that we can do to improve that program; however, we do know that the basic strategy really works.

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)

0.8473

VADER

0.34

Somewhat Positive

Moderation

Violence

0.0200446666

OpenAI Moderation v1 (007)

Sexual

0.0198500027

OpenAI Moderation v1 (007)

Sexual > Minors

0.0081778286

OpenAI Moderation v1 (007)

Violence > Graphic

0.0079501864

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0053095075

OpenAI Moderation v1 (007)

Harassment

0.0045739383

OpenAI Moderation v1 (007)

Self-Harm

0.000912916

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000322385

OpenAI Moderation v1 (007)

Hate

0.0001645904

OpenAI Moderation v1 (007)

Hate > Threatening

3.06194E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.99638E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

50.4

Gunning-Fog Score

18.8

Coleman-Liau Index

10.8

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

21

Mary Leary

For example, in Seattle, violent crime dropped 54 percent in the Weed and Seed target area 5 years after the initiation of the program, and that was compared with a citywide drop of only 38 percent. In Hartford, CT, Part One crimes fell 46 percent in 2 years after inception of the program. Citywide, crime declined 22 percent. Similarly, in Las Vegas, violent crime in the Weed and Seed area dropped 8 percent in the program's first 2 years. Citywide, the decline was only 3 percent, and this has been extremely helpful in our efforts to eliminate drugs and crimes.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-3.21888

Harvard-IV (Relative)

-0.85714

Very Negative

Harvard-IV (Absolute)

-0.85714

Very Negative

Harvard-IV (Logit)

-2.19722

VADER

-0.954

Very Negative

Moderation

Violence

0.0434301823

OpenAI Moderation v1 (007)

Violence > Graphic

0.0334706827

OpenAI Moderation v1 (007)

Harassment

0.0212233921

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0144293968

OpenAI Moderation v1 (007)

Sexual

0.0029445458

OpenAI Moderation v1 (007)

Sexual > Minors

0.001353994

OpenAI Moderation v1 (007)

Self-Harm

0.0011616999

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.001095166

OpenAI Moderation v1 (007)

Hate

0.000860373

OpenAI Moderation v1 (007)

Hate > Threatening

6.36667E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.03972E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.7

Flesch-Kincaid Ease

68.1

Gunning-Fog Score

12.4

Coleman-Liau Index

10

SMOG Index

11.7

Automated Readability Index

9.2

Dale-Chall Readability Score

7.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

40

Sprache Difficult Word Count

27

Mary Leary

Many of OJP's initiatives that are targeted at drug use by young people are supported, as you know, through our Office of Juvenile Justice and Delinquency Prevention, and in your role as chairman of the Youth Violence Subcommittee, I know that you have been looking at some of those programs. My written statement details a number of those initiatives which are geared towards drug use by young people.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

0.42857

Positive

Harvard-IV (Absolute)

0.42857

Positive

Harvard-IV (Logit)

0.78846

VADER

0.226

Slightly Positive

Moderation

Violence

0.0305401045

OpenAI Moderation v1 (007)

Sexual

0.0167665523

OpenAI Moderation v1 (007)

Self-Harm

0.0068931338

OpenAI Moderation v1 (007)

Hate

0.0064860207

OpenAI Moderation v1 (007)

Harassment

0.0051486528

OpenAI Moderation v1 (007)

Violence > Graphic

0.0036573285

OpenAI Moderation v1 (007)

Hate > Threatening

0.0022840648

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0021394391

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0015856787

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007625841

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003111265

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

42.9

Gunning-Fog Score

16

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

21

Sprache Difficult Word Count

21

Mary Leary

Enforcement programs are also a critical component of our comprehensive effort to prevent illegal drug use and to help States and local communities enforce their drug laws. OJP certifies about $900 million in programming to ONDCP as drug related, and practically two-thirds of that amount of money actually goes to enforcement initiatives. For instance, 40 percent of the funds awarded under the Byrne Formula Grant program are used by States to support multi-district law enforcement task forces that target drug trafficking.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

0.125

Leans Positive

Harvard-IV (Absolute)

0.125

Leans Positive

Harvard-IV (Logit)

0.23639

VADER

0.7

Very Positive

Moderation

Self-Harm

0.0109555367

OpenAI Moderation v1 (007)

Harassment

0.0093077913

OpenAI Moderation v1 (007)

Violence

0.0067216475

OpenAI Moderation v1 (007)

Sexual

0.0064234402

OpenAI Moderation v1 (007)

Harassment > Threatening

0.006202807

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0041216172

OpenAI Moderation v1 (007)

Sexual > Minors

0.0037563874

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0014036602

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011372

OpenAI Moderation v1 (007)

Hate

0.0009634974

OpenAI Moderation v1 (007)

Hate > Threatening

2.3991E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

35

Gunning-Fog Score

18.8

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

39

Sprache Difficult Word Count

39

Jeff Sessions

Is that 40 percent of the Byrne Grants?

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

0.0131351539

OpenAI Moderation v1 (007)

Violence > Graphic

0.005575073

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0027918406

OpenAI Moderation v1 (007)

Harassment

0.0014107822

OpenAI Moderation v1 (007)

Sexual

0.0008505545

OpenAI Moderation v1 (007)

Self-Harm

0.0001902212

OpenAI Moderation v1 (007)

Sexual > Minors

0.000128073

OpenAI Moderation v1 (007)

Hate

9.8593E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.1189E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.8141E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.6321E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

3.2

Coleman-Liau Index

5.5

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

6.3

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Mary Leary

The Byrne Formula Grant, 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

0.361

Somewhat Positive

Moderation

Sexual

0.0076807119

OpenAI Moderation v1 (007)

Violence > Graphic

0.0056254445

OpenAI Moderation v1 (007)

Violence

0.0030669013

OpenAI Moderation v1 (007)

Sexual > Minors

0.0026914371

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007925776

OpenAI Moderation v1 (007)

Harassment

0.0004574552

OpenAI Moderation v1 (007)

Self-Harm

0.0002742325

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001721288

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.87419E-5

OpenAI Moderation v1 (007)

Hate

1.53765E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.6865E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4

Flesch-Kincaid Ease

78.9

Gunning-Fog Score

2.8

Coleman-Liau Index

11.9

SMOG Index

9

Automated Readability Index

4.3

Dale-Chall Readability Score

7.1

Sprache Readability Score

1.8

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

4

Mary Leary

We support intervention and treatment as well for drug- involved offenders to try to break that cycle of drug use and crime. Eighty percent of the prisoners who are incarcerated in our institutions today report that they were under the influence of drugs or alcohol when they were arrested or that they stole property to buy drugs or they have a history of drug or alcohol abuse. I know that these figures are not new to you, having worked as a prosecutor.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

-0.28571

Slightly Negative

Harvard-IV (Absolute)

-0.28571

Slightly Negative

Harvard-IV (Logit)

-0.54654

VADER

-0.915

Very Negative

Moderation

Violence

0.0162584402

OpenAI Moderation v1 (007)

Violence > Graphic

0.0031828677

OpenAI Moderation v1 (007)

Sexual

0.0018799034

OpenAI Moderation v1 (007)

Harassment

0.000659022

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005606772

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001484154

OpenAI Moderation v1 (007)

Hate

0.0001092055

OpenAI Moderation v1 (007)

Self-Harm

3.60845E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.78004E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.358E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.176E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

52.2

Gunning-Fog Score

16.8

Coleman-Liau Index

10.8

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

24

Sprache Difficult Word Count

24

Jeff Sessions

And alcohol is high, too.

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

0.0466870493

OpenAI Moderation v1 (007)

Sexual

0.0077891535

OpenAI Moderation v1 (007)

Violence > Graphic

0.0064438711

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0044937336

OpenAI Moderation v1 (007)

Sexual > Minors

0.0031345571

OpenAI Moderation v1 (007)

Harassment

0.0014468706

OpenAI Moderation v1 (007)

Hate

0.0002318905

OpenAI Moderation v1 (007)

Self-Harm

0.0001611309

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001279082

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.85765E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.36709E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.9

Flesch-Kincaid Ease

83.3

Gunning-Fog Score

10

Coleman-Liau Index

6.5

SMOG Index

9

Automated Readability Index

0

Dale-Chall Readability Score

3.4

Sprache Readability Score

1.3

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

Extremely high.

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

0.0150920998

OpenAI Moderation v1 (007)

Violence > Graphic

0.0061860075

OpenAI Moderation v1 (007)

Sexual

0.0041315616

OpenAI Moderation v1 (007)

Sexual > Minors

0.0030892923

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0015204956

OpenAI Moderation v1 (007)

Harassment

0.0005644019

OpenAI Moderation v1 (007)

Hate

0.0003146331

OpenAI Moderation v1 (007)

Self-Harm

3.91707E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.99233E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.8807E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.0889E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.8

Flesch-Kincaid Ease

35.6

Gunning-Fog Score

0.8

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

10.2

Dale-Chall Readability Score

8

Sprache Readability Score

1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

People don't understand the numbers are real dramatic, are they not, on alcohol use and crime?

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

-0.542

Very Negative

Moderation

Violence

0.0043995395

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014098005

OpenAI Moderation v1 (007)

Harassment

0.0008564165

OpenAI Moderation v1 (007)

Sexual

0.0008142387

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006492901

OpenAI Moderation v1 (007)

Sexual > Minors

0.000439826

OpenAI Moderation v1 (007)

Hate

0.0001951568

OpenAI Moderation v1 (007)

Self-Harm

0.0001835344

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.47451E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.24629E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.6518E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.1

Flesch-Kincaid Ease

58.4

Gunning-Fog Score

13.9

Coleman-Liau Index

11.8

SMOG Index

12

Automated Readability Index

8.6

Dale-Chall Readability Score

3.8

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

4

Mary Leary

They are extremely high, and, in fact, we are beginning to see some innovations in drug courts who are also addressing alcohol abuse.

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

-0.637

Very Negative

Moderation

Violence

0.0052386578

OpenAI Moderation v1 (007)

Sexual

0.0015036275

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013009126

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012565488

OpenAI Moderation v1 (007)

Harassment

0.0012563703

OpenAI Moderation v1 (007)

Self-Harm

0.0003659515

OpenAI Moderation v1 (007)

Hate

0.0001827723

OpenAI Moderation v1 (007)

Sexual > Minors

5.96488E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.62988E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.59431E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.4811E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.8

Flesch-Kincaid Ease

51.1

Gunning-Fog Score

17.9

Coleman-Liau Index

11.6

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

Mary Leary

You know, at the same time, you can see that study after study tells us the treatment is effective, and particularly if it is prison based on long-term treatment. Coercive treatment is just as effective, if not more so, than voluntary treatment. So OJP administers several initiatives that combine drug treatment with criminal justice sanctions and incentives for good behavior.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

-0.11111

Leans Negative

Harvard-IV (Absolute)

-0.11111

Leans Negative

Harvard-IV (Logit)

-0.20067

VADER

0.796

Very Positive

Moderation

Violence

0.0105499763

OpenAI Moderation v1 (007)

Harassment

0.006921008

OpenAI Moderation v1 (007)

Violence > Graphic

0.0064675965

OpenAI Moderation v1 (007)

Sexual

0.0014735806

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014246282

OpenAI Moderation v1 (007)

Hate

0.0008296616

OpenAI Moderation v1 (007)

Self-Harm

0.000271335

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002021329

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.87054E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.2229E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.7641E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44.7

Gunning-Fog Score

15.3

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.7

Sprache Readability Score

4.7

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

19

Mary Leary

And you and I have had some discussions about one of our most widespread and effective programs to address drugs, and that is the drug court program. Drug courts combine intensive supervision and sanctions with incentives such as reduced charges or shorter sentences for offenders who successfully complete treatment.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.14286

Leans Positive

Harvard-IV (Absolute)

0.14286

Leans Positive

Harvard-IV (Logit)

0.25131

VADER

0.67

Very Positive

Moderation

Harassment

0.0672204478

OpenAI Moderation v1 (007)

Violence

0.0361237588

OpenAI Moderation v1 (007)

Hate

0.0351811497

OpenAI Moderation v1 (007)

Sexual

0.0223906201

OpenAI Moderation v1 (007)

Self-Harm

0.0177748865

OpenAI Moderation v1 (007)

Violence > Graphic

0.0058108279

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0052357216

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0014594733

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008723421

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002716447

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001107519

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

40.4

Gunning-Fog Score

18

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

20

Mary Leary

In the drug courts, we use judges to monitor offenders' performance to make sure that they are getting drug treatment and other services and that they are sticking to their regimen. As you noted, Mr. Chairman, testing is a really important component of that. The courts require the testing on a regular basis, and then they impose prompt and graduated sanctions if there are any infractions.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-0.09091

Neutral

Harvard-IV (Absolute)

-0.09091

Neutral

Harvard-IV (Logit)

-0.16705

VADER

-0.087

Neutral

Moderation

Sexual

0.1087899203

OpenAI Moderation v1 (007)

Hate

0.0392155431

OpenAI Moderation v1 (007)

Harassment

0.0196000721

OpenAI Moderation v1 (007)

Violence

0.0081813625

OpenAI Moderation v1 (007)

Sexual > Minors

0.0031037798

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025318664

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010251198

OpenAI Moderation v1 (007)

Self-Harm

6.761E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.72258E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.39138E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.10055E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.6

Flesch-Kincaid Ease

55.5

Gunning-Fog Score

13.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

9.4

Dale-Chall Readability Score

6.1

Sprache Readability Score

4.7

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

25

Mary Leary

The drug courts grant program, as you know, was authorized by the 1994 Crime Act, and since that time, since 1995, Drug Courts Program Office has awarded about $125 million. Six hundred communities have received that funding to set up courts. In addition, there is training and T.A. and evaluation money that has been expended.

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

0.178

Leans Positive

Moderation

Self-Harm

0.0334014505

OpenAI Moderation v1 (007)

Harassment

0.0313411379

OpenAI Moderation v1 (007)

Sexual

0.0096114782

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0067064611

OpenAI Moderation v1 (007)

Violence

0.0042015188

OpenAI Moderation v1 (007)

Hate

0.0032099357

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0012500182

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000672572

OpenAI Moderation v1 (007)

Sexual > Minors

0.000147256

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001000377

OpenAI Moderation v1 (007)

Hate > Threatening

2.0734E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.4

Flesch-Kincaid Ease

76.1

Gunning-Fog Score

9.5

Coleman-Liau Index

10.5

SMOG Index

10

Automated Readability Index

5.2

Dale-Chall Readability Score

4.8

Sprache Readability Score

3.4

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

17

Mary Leary

But as you know, drug courts really began as a grass-roots movement. So in addition to the support through the Drug Courts Program Office, all States and local communities use their own funds or a combination of local, State, private, and Federal funding from Byrne, LLEBG, juvenile accountability, incentive block grant programs to support the drug courts.

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

0.758

Very Positive

Moderation

Sexual

0.1094046282

OpenAI Moderation v1 (007)

Hate

0.0393689465

OpenAI Moderation v1 (007)

Harassment

0.0197515459

OpenAI Moderation v1 (007)

Violence

0.0082343271

OpenAI Moderation v1 (007)

Sexual > Minors

0.0031066553

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025823929

OpenAI Moderation v1 (007)

Harassment > Threatening

0.00102459

OpenAI Moderation v1 (007)

Self-Harm

6.79911E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.72477E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.38664E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.10905E-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

8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

24

Sprache Difficult Word Count

24

Mary Leary

We have about 100 new drug courts coming on line every single year, but only half of those are a result of Drug Court Program Office 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)

1.09861

VADER

0

Neutral

Moderation

Sexual

0.0247899676

OpenAI Moderation v1 (007)

Violence

0.0069029222

OpenAI Moderation v1 (007)

Violence > Graphic

0.0034334142

OpenAI Moderation v1 (007)

Harassment

0.0032506043

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012480183

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004710752

OpenAI Moderation v1 (007)

Self-Harm

0.0001726191

OpenAI Moderation v1 (007)

Hate

6.56001E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.47947E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.55876E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.55487E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.7

Flesch-Kincaid Ease

66.6

Gunning-Fog Score

12.3

Coleman-Liau Index

8.2

SMOG Index

9

Automated Readability Index

11.3

Dale-Chall Readability Score

4.3

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

8

Jeff Sessions

Are any dropping off line, do you know?

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

0.0476152432

OpenAI Moderation v1 (007)

Violence

0.0246672251

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0080677921

OpenAI Moderation v1 (007)

Hate

0.0037472746

OpenAI Moderation v1 (007)

Violence > Graphic

0.0023104416

OpenAI Moderation v1 (007)

Sexual

0.0022520348

OpenAI Moderation v1 (007)

Self-Harm

0.0008330113

OpenAI Moderation v1 (007)

Sexual > Minors

0.00046476

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001950815

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001696854

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.48887E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

93

Gunning-Fog Score

3.2

Coleman-Liau Index

6.3

SMOG Index

3.3

Automated Readability Index

0.2

Dale-Chall Readability Score

2.4

Sprache Readability Score

1.7

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

A few, but very few, and some of them actually drop out in the very initial stages. When we do our training for communities who are planning drug courts, almost all of them end up implementing a drug court, but we have had a couple of dropouts along the way, which is good. They realize we really -- this is too much of a commitment or we are not ready, whatever.

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

0.605

Very Positive

Moderation

Harassment

0.0481447525

OpenAI Moderation v1 (007)

Violence > Graphic

0.0285474089

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0206016834

OpenAI Moderation v1 (007)

Violence

0.0155790316

OpenAI Moderation v1 (007)

Hate

0.0061195016

OpenAI Moderation v1 (007)

Sexual

0.0017076814

OpenAI Moderation v1 (007)

Self-Harm

0.0004462974

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002339878

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001752736

OpenAI Moderation v1 (007)

Sexual > Minors

9.19989E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.14099E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.2

Flesch-Kincaid Ease

63.5

Gunning-Fog Score

13.9

Coleman-Liau Index

7.9

SMOG Index

12

Automated Readability Index

9.2

Dale-Chall Readability Score

4.1

Sprache Readability Score

4.7

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

15

Mary Leary

In terms of local support, the California Legislature just this year appropriated about $20 million to support drug courts in the State. That is half the total appropriation for the Drug Courts Program Office for fiscal year 2001, a big commitment. And oftentimes, we will see local communities come in with far more than the 25 percent required local match for 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)

2.70805

VADER

0.791

Very Positive

Moderation

Violence

0.0357504992

OpenAI Moderation v1 (007)

Violence > Graphic

0.0205355522

OpenAI Moderation v1 (007)

Harassment

0.0111142144

OpenAI Moderation v1 (007)

Sexual

0.0024413872

OpenAI Moderation v1 (007)

Hate

0.0014922633

OpenAI Moderation v1 (007)

Self-Harm

0.0002793204

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002750114

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001877263

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.70874E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.46877E-5

OpenAI Moderation v1 (007)

Hate > Threatening

6.6072E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.7

Flesch-Kincaid Ease

54.9

Gunning-Fog Score

12.1

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

11.2

Dale-Chall Readability Score

6.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

22

Mary Leary

So in addition to funding, OJP provides extensive training and technical assistance to communities who are planning new drug courts. We have, as you know, a mentor court system so that teams who are considering planning a drug court can visit a court that is up and running, talk to the program staff, and learn from the experts who are doing it day in and day out. Then you can help folks avoid common mistakes, and they don't have to reinvent the wheel when they go about their own drug court planning.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.57143

Very Positive

Harvard-IV (Absolute)

0.57143

Very Positive

Harvard-IV (Logit)

1.18958

VADER

-0.25

Slightly Negative

Moderation

Harassment

0.381262647

OpenAI Moderation v1 (007)

Harassment > Threatening

0.1665566349

OpenAI Moderation v1 (007)

Violence

0.1384747098

OpenAI Moderation v1 (007)

Hate

0.0163934688

OpenAI Moderation v1 (007)

Violence > Graphic

0.0081754501

OpenAI Moderation v1 (007)

Sexual

0.0009705134

OpenAI Moderation v1 (007)

Sexual > Minors

7.04317E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.38823E-5

OpenAI Moderation v1 (007)

Self-Harm

1.91487E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.63771E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.503E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

62.6

Gunning-Fog Score

14.9

Coleman-Liau Index

10

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

5.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

25

Sprache Difficult Word Count

24

Mary Leary

We closely monitor the performance of drug court programs that we fund. We spend a lot of time in the field, and when we do discover problems in our monitoring visits and the like, we step in immediately and provide training and technical assistance. If the problems persist even after that assistance, then we stop the drawdowns of Federal funds until they fix the problem. On rare occasions, as a last resort, if a program fails to take remedial measures, then we will rescind the grant funds or not provide funding for the following year.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

0.33333

Somewhat Positive

Harvard-IV (Absolute)

0.33333

Somewhat Positive

Harvard-IV (Logit)

0.63599

VADER

-0.796

Very Negative

Moderation

Sexual

0.0574069214

OpenAI Moderation v1 (007)

Harassment

0.0333252712

OpenAI Moderation v1 (007)

Violence

0.0232106962

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0113219045

OpenAI Moderation v1 (007)

Hate

0.0108633685

OpenAI Moderation v1 (007)

Violence > Graphic

0.0046264668

OpenAI Moderation v1 (007)

Self-Harm

0.0041476993

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.003478818

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0024093484

OpenAI Moderation v1 (007)

Sexual > Minors

0.0016219676

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002463998

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.3

Flesch-Kincaid Ease

56.3

Gunning-Fog Score

14.1

Coleman-Liau Index

11.3

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

30

Sprache Difficult Word Count

27

Mary Leary

We also rely on evaluations to measure the drug court performance. Since 1995, we have committed $5 million to evaluate drug court programs. We plan to spend more in fiscal year 2001 to expand these efforts.

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

0.527

Very Positive

Moderation

Sexual

0.0070170376

OpenAI Moderation v1 (007)

Harassment

0.0032813325

OpenAI Moderation v1 (007)

Violence > Graphic

0.0031359687

OpenAI Moderation v1 (007)

Violence

0.001989518

OpenAI Moderation v1 (007)

Self-Harm

0.0016734679

OpenAI Moderation v1 (007)

Hate

0.0003815621

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001938988

OpenAI Moderation v1 (007)

Harassment > Threatening

3.96793E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.04334E-5

OpenAI Moderation v1 (007)

Sexual > Minors

1.36741E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.0027E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.5

Flesch-Kincaid Ease

70.1

Gunning-Fog Score

10.4

Coleman-Liau Index

10

SMOG Index

10.6

Automated Readability Index

5.2

Dale-Chall Readability Score

5.4

Sprache Readability Score

3.2

Dale-Chall Difficult Word Score

11

Sprache Difficult Word Count

13

Mary Leary

As the chairman knows, our National Institute of Justice has begun a multiphase, multiyear, multisite evaluation of our drug court programs. We have some preliminary findings from those evaluations that were released this past year. We are using the results from that study to improve future drug court programming. For example, through the training that we provide to drug court communities, we are addressing any problems that were identified in the evaluation. We are also taking those evaluation results, converting them to plain language that a practitioner can understand, and we are disseminating those results broadly in the field.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.6

Very Positive

Harvard-IV (Absolute)

0.6

Very Positive

Harvard-IV (Logit)

1.22378

VADER

0.557

Very Positive

Moderation

Harassment

0.1565422979

OpenAI Moderation v1 (007)

Violence

0.1101740752

OpenAI Moderation v1 (007)

Violence > Graphic

0.0262401387

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0129853142

OpenAI Moderation v1 (007)

Sexual

0.0091853115

OpenAI Moderation v1 (007)

Hate

0.0084528445

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0066681416

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0064286432

OpenAI Moderation v1 (007)

Self-Harm

0.0024296811

OpenAI Moderation v1 (007)

Sexual > Minors

0.0012158306

OpenAI Moderation v1 (007)

Hate > Threatening

0.0005112939

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

38

Gunning-Fog Score

15.2

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

35

Sprache Difficult Word Count

35

Mary Leary

We require communities who are planning a drug court to include on their team an evaluator or a management information systems person, and the reason that we do that is so that communities will understand and will actualize setting up your evaluation criteria from the get-go, and then it doesn't become an afterthought when you are midway through your program.

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

Neutral

Moderation

Harassment > Threatening

0.0134137939

OpenAI Moderation v1 (007)

Violence

0.007435459

OpenAI Moderation v1 (007)

Harassment

0.0048435257

OpenAI Moderation v1 (007)

Violence > Graphic

0.0021558897

OpenAI Moderation v1 (007)

Sexual

0.001384405

OpenAI Moderation v1 (007)

Hate

0.0004284472

OpenAI Moderation v1 (007)

Self-Harm

0.0004093501

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001716929

OpenAI Moderation v1 (007)

Hate > Threatening

1.43646E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.0818E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.4579E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

6.2

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

20

Mary Leary

We are also supporting an evaluation of the effectiveness of the various treatment services that are used by drug courts and the development of an assessment tool that can be used by drug court programs to provide reliable information on the program costs and to tell us what kind of savings we are incurring through the drug court program. A privately funded analysis of 77 drug court evaluations that was released found that drug courts really are effective in addressing drug abuse among nonviolent offenders and reducing burdens on the criminal justice system and in helping offenders become law-abiding and drug-free citizens. That particular study found that only 10 percent of drug court clients' drug tests were positive, compared to 31 percent of the defendants who were under just regular probation.

Sentiment

Loughran McDonald (Relative)

-0.11111

Leans Negative

Loughran McDonald (Absolute)

-0.11111

Leans Negative

Loughran McDonald (Logit)

-0.20067

Harvard-IV (Relative)

0.30435

Somewhat Positive

Harvard-IV (Absolute)

0.30435

Somewhat Positive

Harvard-IV (Logit)

0.60077

VADER

0.097

Neutral

Moderation

Violence

0.0347428926

OpenAI Moderation v1 (007)

Violence > Graphic

0.0248287368

OpenAI Moderation v1 (007)

Harassment

0.0075870463

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0034351073

OpenAI Moderation v1 (007)

Sexual

0.002958515

OpenAI Moderation v1 (007)

Hate

0.0008086746

OpenAI Moderation v1 (007)

Self-Harm

0.0005996656

OpenAI Moderation v1 (007)

Sexual > Minors

7.18911E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.67286E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.12342E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.624E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

20

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

51

Sprache Difficult Word Count

49

Mary Leary

Sixty percent of those who entered drug courts were still in treatment after 12 months. That compares favorably to a 50 percent rate for folks who were treated in regular outpatient programs.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.382

Somewhat Positive

Moderation

Sexual

0.0183274475

OpenAI Moderation v1 (007)

Violence > Graphic

0.0172760236

OpenAI Moderation v1 (007)

Violence

0.003469584

OpenAI Moderation v1 (007)

Harassment

0.0028645638

OpenAI Moderation v1 (007)

Hate

0.0016098767

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005374403

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005299474

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003739951

OpenAI Moderation v1 (007)

Self-Harm

0.0003242774

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001056802

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.42707E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

69

Gunning-Fog Score

10.2

Coleman-Liau Index

12

SMOG Index

10.3

Automated Readability Index

9.2

Dale-Chall Readability Score

5.7

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

14

Joe Biden

Excuse me. Treated in outpatient programs, not as a consequence of a criminal disposition, just voluntarily --

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

-0.477

Negative

Moderation

Harassment

0.152441836

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0346400047

OpenAI Moderation v1 (007)

Violence

0.0323528686

OpenAI Moderation v1 (007)

Violence > Graphic

0.0081568469

OpenAI Moderation v1 (007)

Hate

0.0011622241

OpenAI Moderation v1 (007)

Sexual

0.0003538917

OpenAI Moderation v1 (007)

Self-Harm

7.63627E-5

OpenAI Moderation v1 (007)

Sexual > Minors

8.7463E-6

OpenAI Moderation v1 (007)

Hate > Threatening

7.3885E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.5119E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.2836E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.9

Flesch-Kincaid Ease

24.2

Gunning-Fog Score

15.7

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

8.8

Dale-Chall Readability Score

7.3

Sprache Readability Score

2.3

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

8

Mary Leary

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

Harassment

0.0721687567

OpenAI Moderation v1 (007)

Sexual

0.0228816483

OpenAI Moderation v1 (007)

Violence

0.0140138553

OpenAI Moderation v1 (007)

Hate

0.0086789405

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0083008192

OpenAI Moderation v1 (007)

Sexual > Minors

0.0058051341

OpenAI Moderation v1 (007)

Violence > Graphic

0.0041420113

OpenAI Moderation v1 (007)

Self-Harm

0.0004216121

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001936475

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.58608E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.8824E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

36.6

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

12

Dale-Chall Readability Score

0

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Mary Leary

Senator Biden [continuing]. Going into a drug program. Thank you.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.361

Somewhat Positive

Moderation

Sexual

0.0049551341

OpenAI Moderation v1 (007)

Violence > Graphic

0.002772681

OpenAI Moderation v1 (007)

Violence

0.0017840051

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003536555

OpenAI Moderation v1 (007)

Harassment

0.0001586793

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001394245

OpenAI Moderation v1 (007)

Hate

0.0001030352

OpenAI Moderation v1 (007)

Self-Harm

3.35837E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.6126E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.9239E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.3962E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.9

Flesch-Kincaid Ease

72.2

Gunning-Fog Score

1.2

Coleman-Liau Index

10.9

SMOG Index

6.6

Automated Readability Index

1.5

Dale-Chall Readability Score

7.2

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

5

Mary Leary

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

0.0078038887

OpenAI Moderation v1 (007)

Sexual

0.0076806456

OpenAI Moderation v1 (007)

Violence > Graphic

0.0038537131

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0015414347

OpenAI Moderation v1 (007)

Harassment

0.0012552852

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003312116

OpenAI Moderation v1 (007)

Hate

0.0001775621

OpenAI Moderation v1 (007)

Self-Harm

9.40302E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.13652E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.3228E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.5788E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

36.6

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

12

Dale-Chall Readability Score

0

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Joe Biden

Thank you, Mr. Chairman.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.361

Somewhat Positive

Moderation

Sexual

0.2026161179

OpenAI Moderation v1 (007)

Harassment

0.1659833244

OpenAI Moderation v1 (007)

Violence

0.143320451

OpenAI Moderation v1 (007)

Violence > Graphic

0.0906130066

OpenAI Moderation v1 (007)

Self-Harm

0.04144579

OpenAI Moderation v1 (007)

Hate

0.01143626

OpenAI Moderation v1 (007)

Sexual > Minors

0.0091761976

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0042920994

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0009814769

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005096373

OpenAI Moderation v1 (007)

Hate > Threatening

0.000222084

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

99.1

Gunning-Fog Score

0.8

Coleman-Liau Index

10.6

SMOG Index

3.3

Automated Readability Index

0.8

Dale-Chall Readability Score

8

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Mary Leary

One study has shown that rearrest rates for drug court graduates were consistently lower than those for non- graduates overall. When researchers took a look at Portland, OR, they found over a 1-, 2-, and 3-year period, 35 percent of the drug court graduates were rearrested within 3 years compared to 61 percent of non-graduates.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.75

Very Positive

Harvard-IV (Absolute)

0.75

Very Positive

Harvard-IV (Logit)

1.60944

VADER

-0.296

Slightly Negative

Moderation

Violence

0.0597680511

OpenAI Moderation v1 (007)

Violence > Graphic

0.0284819456

OpenAI Moderation v1 (007)

Sexual

0.0174141038

OpenAI Moderation v1 (007)

Harassment

0.0061357408

OpenAI Moderation v1 (007)

Hate

0.0027061869

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0024559424

OpenAI Moderation v1 (007)

Sexual > Minors

0.0018068527

OpenAI Moderation v1 (007)

Self-Harm

0.000821783

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003873022

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.20988E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.2135E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.9

Flesch-Kincaid Ease

60.7

Gunning-Fog Score

17.7

Coleman-Liau Index

10.5

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

18

Mary Leary

We know that drug courts also save money. Right here in Washington, DC, they save an average of $6,000 per client per year compared to the costs of incarceration. A comprehensive cost analysis of the drug court program in Portland --

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

0.813

Very Positive

Moderation

Sexual

0.0880383013

OpenAI Moderation v1 (007)

Harassment

0.0834070786

OpenAI Moderation v1 (007)

Violence

0.078774849

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0166988248

OpenAI Moderation v1 (007)

Hate

0.0147862433

OpenAI Moderation v1 (007)

Violence > Graphic

0.0098250413

OpenAI Moderation v1 (007)

Sexual > Minors

0.0044142609

OpenAI Moderation v1 (007)

Hate > Threatening

0.0028869366

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0006659768

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0006645303

OpenAI Moderation v1 (007)

Self-Harm

0.0004308294

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.7

Flesch-Kincaid Ease

71.2

Gunning-Fog Score

9.4

Coleman-Liau Index

10.2

SMOG Index

10.6

Automated Readability Index

6.2

Dale-Chall Readability Score

6.1

Sprache Readability Score

3.5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

14

Jeff Sessions

Saved $6,000?

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)

1.09861

VADER

0.422

Positive

Moderation

Violence

0.0051251591

OpenAI Moderation v1 (007)

Sexual

0.0044285458

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0035188299

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020040512

OpenAI Moderation v1 (007)

Harassment

0.0009448961

OpenAI Moderation v1 (007)

Self-Harm

0.0003878818

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002763375

OpenAI Moderation v1 (007)

Hate

0.0001142385

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.94885E-5

OpenAI Moderation v1 (007)

Hate > Threatening

6.10213E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.01303E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.2

Coleman-Liau Index

0

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

5.4

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

That is correct. Instead of incarcerating, you are spending the money on a drug court program. You are saving the $6,000 that you would have spent to incarcerate that individual for the year.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.94591

VADER

0

Neutral

Moderation

Sexual

0.0065775261

OpenAI Moderation v1 (007)

Violence

0.0063476407

OpenAI Moderation v1 (007)

Violence > Graphic

0.0012378079

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008083824

OpenAI Moderation v1 (007)

Sexual > Minors

0.000376627

OpenAI Moderation v1 (007)

Harassment

0.0002759132

OpenAI Moderation v1 (007)

Self-Harm

5.08E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.64269E-5

OpenAI Moderation v1 (007)

Hate

1.44089E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.1887E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.2593E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.8

Flesch-Kincaid Ease

73.4

Gunning-Fog Score

8.1

Coleman-Liau Index

10

SMOG Index

9

Automated Readability Index

4.9

Dale-Chall Readability Score

3.3

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

10

Jeff Sessions

I would be surprised if it weren't more than 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

0.226

Slightly Positive

Moderation

Sexual

0.0077319033

OpenAI Moderation v1 (007)

Sexual > Minors

0.0036368321

OpenAI Moderation v1 (007)

Violence

0.0034278004

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025404574

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010187391

OpenAI Moderation v1 (007)

Harassment

0.000462506

OpenAI Moderation v1 (007)

Self-Harm

0.0002475274

OpenAI Moderation v1 (007)

Hate

0.0001245043

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001035405

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.97472E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.9711E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.7

Flesch-Kincaid Ease

86.7

Gunning-Fog Score

8

Coleman-Liau Index

7.1

SMOG Index

9

Automated Readability Index

1.9

Dale-Chall Readability Score

3.7

Sprache Readability Score

2

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Mary Leary

It is expensive.

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

0.0056513134

OpenAI Moderation v1 (007)

Violence > Graphic

0.0052764011

OpenAI Moderation v1 (007)

Harassment

0.0027982882

OpenAI Moderation v1 (007)

Sexual

0.0024320247

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0013211176

OpenAI Moderation v1 (007)

Hate

0.0005086535

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004770746

OpenAI Moderation v1 (007)

Self-Harm

0.0002034383

OpenAI Moderation v1 (007)

Hate > Threatening

2.5761E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.3536E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.1769E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.2

Flesch-Kincaid Ease

62.8

Gunning-Fog Score

14.5

Coleman-Liau Index

9.6

SMOG Index

9

Automated Readability Index

0.5

Dale-Chall Readability Score

5.4

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

If you take 20,000 or more.

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

0.0285192829

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0201245799

OpenAI Moderation v1 (007)

Sexual

0.0065647117

OpenAI Moderation v1 (007)

Harassment

0.0059843627

OpenAI Moderation v1 (007)

Hate

0.0030271129

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011428087

OpenAI Moderation v1 (007)

Self-Harm

0.0005129535

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001799325

OpenAI Moderation v1 (007)

Hate > Threatening

1.72016E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.30175E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.901E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2.8

Coleman-Liau Index

0

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

Mary Leary

Well, I think when you figure in the costs of the drug court and treatment as well, the savings are about -- that is what they are reporting to us, is a savings of $6,000. So we are being conservative on our estimate.

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

0.494

Positive

Moderation

Harassment

0.0575685059

OpenAI Moderation v1 (007)

Hate

0.0348360918

OpenAI Moderation v1 (007)

Sexual

0.0146788472

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0087056644

OpenAI Moderation v1 (007)

Violence

0.0061435218

OpenAI Moderation v1 (007)

Sexual > Minors

0.0054462609

OpenAI Moderation v1 (007)

Violence > Graphic

0.0040758583

OpenAI Moderation v1 (007)

Self-Harm

0.0008766253

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002772783

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001123224

OpenAI Moderation v1 (007)

Hate > Threatening

8.00388E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

78.8

Gunning-Fog Score

11.4

Coleman-Liau Index

6.4

SMOG Index

10.3

Automated Readability Index

7.1

Dale-Chall Readability Score

3.3

Sprache Readability Score

4

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

9

Mary Leary

A comprehensive analysis of the costs of the drug court program in Portland, OR, found that for every dollar, every tax dollar that they spent on the drug court program, they saved $2.50 in costs to the public.

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

0.586

Very Positive

Moderation

Hate

0.0156400114

OpenAI Moderation v1 (007)

Harassment

0.0127189574

OpenAI Moderation v1 (007)

Violence

0.0041431929

OpenAI Moderation v1 (007)

Harassment > Threatening

0.002925831

OpenAI Moderation v1 (007)

Sexual

0.0028919434

OpenAI Moderation v1 (007)

Sexual > Minors

0.0012382731

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001120556

OpenAI Moderation v1 (007)

Self-Harm

7.34754E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.4204E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.639E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.5255E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

50.3

Gunning-Fog Score

19

Coleman-Liau Index

9.5

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

11

Joe Biden

What kind of costs?

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

0.1429308322

OpenAI Moderation v1 (007)

Hate

0.1125578885

OpenAI Moderation v1 (007)

Violence

0.0034401884

OpenAI Moderation v1 (007)

Sexual

0.0015015424

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014496094

OpenAI Moderation v1 (007)

Sexual > Minors

0.00053103

OpenAI Moderation v1 (007)

Violence > Graphic

0.0002082837

OpenAI Moderation v1 (007)

Self-Harm

0.0001347056

OpenAI Moderation v1 (007)

Hate > Threatening

4.46485E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.832E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.5206E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.6

Coleman-Liau Index

6.2

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.2

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Mary Leary

Those are costs in processing cases, in handling defendants, moving them through the court system, and the like; but if you look at broader costs, if you look at, for instance, costs to victims of crime as a result of drug abuse and those kinds of broader issues, the cost savings estimate was increased to $10 for every $1 spent, and that is coming out of that Portland study.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

-0.16667

Leans Negative

Harvard-IV (Absolute)

-0.16667

Leans Negative

Harvard-IV (Logit)

-0.31015

VADER

-0.902

Very Negative

Moderation

Harassment

0.1452726545

OpenAI Moderation v1 (007)

Hate

0.0849961652

OpenAI Moderation v1 (007)

Violence

0.0365457759

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0249312143

OpenAI Moderation v1 (007)

Sexual

0.0178094779

OpenAI Moderation v1 (007)

Violence > Graphic

0.0063719366

OpenAI Moderation v1 (007)

Self-Harm

0.0011100914

OpenAI Moderation v1 (007)

Hate > Threatening

0.0007417899

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006957928

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002207118

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.49872E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

24

Gunning-Fog Score

19

Coleman-Liau Index

9.3

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

22

Mary Leary

For me, I think particularly as a parent, one of the most compelling statistics coming out of the drug court program is that we have had over 1,000 babies born drug free to drug court participants, and when you look at the costs of caring for children who are born addicted to drugs, you will see that in the early years, we are spending a minimum of $250,000 per child. And, of course, as that child gets older and complications develop and all, the costs increase exponentially. And there are also, you know, the untold costs in raising those kids, who, studies show, have all kinds of problems and oftentimes get involved in the criminal justice system later in life.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

-0.47368

Negative

Harvard-IV (Absolute)

-0.47368

Negative

Harvard-IV (Logit)

-0.9694

VADER

0.806

Very Positive

Moderation

Hate

0.1073370222

OpenAI Moderation v1 (007)

Sexual

0.0353822921

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0306724047

OpenAI Moderation v1 (007)

Harassment

0.0249434815

OpenAI Moderation v1 (007)

Violence

0.0162706157

OpenAI Moderation v1 (007)

Hate > Threatening

0.0057025038

OpenAI Moderation v1 (007)

Violence > Graphic

0.0049714396

OpenAI Moderation v1 (007)

Sexual > Minors

0.000619939

OpenAI Moderation v1 (007)

Self-Harm

0.000545873

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001310393

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.80014E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

50.4

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

28

Sprache Difficult Word Count

31

Mary Leary

Office of Justice Programs supports research and statistical analysis to inform programming as well as evaluations to measure effectiveness. We try at OJP to incorporate research and evaluation as an integral part of our efforts, not just have it be an isolated endeavor. We are trying to make evaluation part of every program we support, use the results of research and evaluation to inform our programming and to improve what we are doing out in the field.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

2.3979

Harvard-IV (Relative)

0.53846

Very Positive

Harvard-IV (Absolute)

0.53846

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.883

Very Positive

Moderation

Harassment

0.0161276141

OpenAI Moderation v1 (007)

Hate

0.0104342005

OpenAI Moderation v1 (007)

Violence

0.0033746172

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013489032

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012381574

OpenAI Moderation v1 (007)

Sexual

0.0011254519

OpenAI Moderation v1 (007)

Self-Harm

0.0007477489

OpenAI Moderation v1 (007)

Sexual > Minors

4.94955E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.82195E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.60677E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.5101E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

34.7

Gunning-Fog Score

17.5

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

28

Sprache Difficult Word Count

22

Mary Leary

And in administering the drug court program, for instance, we carefully scrutinize the results of those national scope evaluations, individual assessments of drug courts, and the results of our monitoring visits. Starting with the passage of the 1994 crime bill, we work with Congress so that now we are able to take money off the top of all new programs for research and evaluation.

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

-0.296

Slightly Negative

Moderation

Harassment

0.0114451832

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0044754466

OpenAI Moderation v1 (007)

Sexual

0.0033716897

OpenAI Moderation v1 (007)

Violence

0.0027390806

OpenAI Moderation v1 (007)

Hate

0.0008399154

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004481002

OpenAI Moderation v1 (007)

Self-Harm

0.0002094819

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001509185

OpenAI Moderation v1 (007)

Hate > Threatening

1.09108E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.8217E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.6733E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

39.5

Gunning-Fog Score

18.4

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

22

Sprache Difficult Word Count

20

Jeff Sessions

Is there any limit to how much you can take off the top for research and evaluation?

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

0.202

Slightly Positive

Moderation

Sexual

0.0092325383

OpenAI Moderation v1 (007)

Harassment

0.0082613195

OpenAI Moderation v1 (007)

Violence

0.0039997114

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0020973896

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013952843

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002001708

OpenAI Moderation v1 (007)

Hate

0.0001566305

OpenAI Moderation v1 (007)

Self-Harm

0.0001048268

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.21934E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.7923E-6

OpenAI Moderation v1 (007)

Hate > Threatening

4.0916E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.7

Flesch-Kincaid Ease

70.1

Gunning-Fog Score

9.2

Coleman-Liau Index

7.4

SMOG Index

9

Automated Readability Index

5.6

Dale-Chall Readability Score

3.6

Sprache Readability Score

3

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Mary Leary

Yes. Yes. We are taking, I think it is 1 percent off the top for all programs.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.735

Very Positive

Moderation

Violence

0.0331588904

OpenAI Moderation v1 (007)

Harassment

0.0202471259

OpenAI Moderation v1 (007)

Violence > Graphic

0.0151501503

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0127202555

OpenAI Moderation v1 (007)

Sexual

0.0022589347

OpenAI Moderation v1 (007)

Self-Harm

0.0019836962

OpenAI Moderation v1 (007)

Hate

0.0010438788

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002467377

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001456229

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001301165

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001264619

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2.3

Coleman-Liau Index

3.9

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

2.1

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

3

Jeff Sessions

Would you need more than that?

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

0.0373133575

OpenAI Moderation v1 (007)

Hate

0.0151512329

OpenAI Moderation v1 (007)

Violence

0.0104766121

OpenAI Moderation v1 (007)

Violence > Graphic

0.0064610249

OpenAI Moderation v1 (007)

Harassment > Threatening

0.003544382

OpenAI Moderation v1 (007)

Sexual

0.0017612849

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006849155

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000209802

OpenAI Moderation v1 (007)

Self-Harm

0.0001912548

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001728903

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.12887E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2.4

Coleman-Liau Index

7.7

SMOG Index

3.3

Automated Readability Index

0.4

Dale-Chall Readability Score

0.3

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Mary Leary

It would be helpful, and we can talk about that with your staff.

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

Violence

0.004287027

OpenAI Moderation v1 (007)

Violence > Graphic

0.0039405779

OpenAI Moderation v1 (007)

Harassment

0.0038090064

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0037218248

OpenAI Moderation v1 (007)

Sexual

0.0028565384

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009026564

OpenAI Moderation v1 (007)

Self-Harm

0.0007195711

OpenAI Moderation v1 (007)

Hate

0.0004350698

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001152526

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.89155E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.0149E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.1

Flesch-Kincaid Ease

96

Gunning-Fog Score

5.2

Coleman-Liau Index

6.8

SMOG Index

3.3

Automated Readability Index

3.2

Dale-Chall Readability Score

1.9

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

I personally am committed to ensuring that we work with performance measures, build them into all of our programs at OJP, and that OJP staff closely monitor our grant programs to measure the effectiveness, and when we see problems, to intervene immediately with training and technical assistance.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.75

Very Positive

Harvard-IV (Absolute)

0.75

Very Positive

Harvard-IV (Logit)

1.60944

VADER

0.459

Positive

Moderation

Harassment

0.0502573326

OpenAI Moderation v1 (007)

Hate

0.0324623048

OpenAI Moderation v1 (007)

Violence

0.0111200447

OpenAI Moderation v1 (007)

Self-Harm

0.0090954658

OpenAI Moderation v1 (007)

Violence > Graphic

0.0042424363

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020788661

OpenAI Moderation v1 (007)

Sexual

0.0018868814

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007115244

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004514432

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002233839

OpenAI Moderation v1 (007)

Hate > Threatening

3.84466E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

16.9

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

19

Sprache Difficult Word Count

17

Mary Leary

You may be familiar with our drug court clearinghouse, for instance, which in the past 2 years alone has responded to 3,500 requests for technical assistance just in the drug court program.

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

-0.25

Slightly Negative

Moderation

Violence

0.0048099249

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001181506

OpenAI Moderation v1 (007)

Violence > Graphic

0.0010766573

OpenAI Moderation v1 (007)

Harassment

0.0006089835

OpenAI Moderation v1 (007)

Sexual

7.29518E-5

OpenAI Moderation v1 (007)

Self-Harm

5.04428E-5

OpenAI Moderation v1 (007)

Hate

4.18703E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.62866E-5

OpenAI Moderation v1 (007)

Sexual > Minors

2.54473E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.2231E-6

OpenAI Moderation v1 (007)

Hate > Threatening

5.469E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

58

Gunning-Fog Score

19

Coleman-Liau Index

10.8

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

10

Mary Leary

And because crime is primarily a State and local responsibility, we are also working hard to build research and evaluation capacity at the State and the local level. We have entered into a cooperative agreement with the National Association of Drug Court Professionals. They are working to develop standards and performance measures for drug courts to use. Three years ago, those standards were published, and they have been adopted by the Conference of Chief Justices, by a number of States, and by the Conference of State Court Administrators.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

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

-0.103

Leans Negative

Moderation

Sexual

0.0144068923

OpenAI Moderation v1 (007)

Violence

0.0075162221

OpenAI Moderation v1 (007)

Harassment

0.0050163861

OpenAI Moderation v1 (007)

Hate

0.0025279509

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0006123193

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005169662

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003467636

OpenAI Moderation v1 (007)

Self-Harm

0.0002470758

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.77949E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.16723E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.15767E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

40.3

Gunning-Fog Score

13.3

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

28

Sprache Difficult Word Count

27

Mary Leary

I would like to take just 1 minute to mention another initiative this morning that is very much related to our drug abuse efforts, and that is offender reentry. We know 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

-0.637

Very Negative

Moderation

Violence

0.004187267

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0041446947

OpenAI Moderation v1 (007)

Harassment

0.0041136853

OpenAI Moderation v1 (007)

Sexual

0.0039146107

OpenAI Moderation v1 (007)

Self-Harm

0.0012693142

OpenAI Moderation v1 (007)

Sexual > Minors

0.0012670949

OpenAI Moderation v1 (007)

Violence > Graphic

0.0010966429

OpenAI Moderation v1 (007)

Hate

0.0003981715

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.51159E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.00131E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.38858E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8

Flesch-Kincaid Ease

66.3

Gunning-Fog Score

11.4

Coleman-Liau Index

9.8

SMOG Index

11.3

Automated Readability Index

7

Dale-Chall Readability Score

4.7

Sprache Readability Score

3.3

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

8

Joe Biden

Excuse me. Would you define reentry? You mean reentry into the drug courts or reentry into the use of drugs or reentry into -- define for the record what you mean by reentry.

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

0.077

Neutral

Moderation

Sexual

0.0646105385

OpenAI Moderation v1 (007)

Harassment

0.0478829839

OpenAI Moderation v1 (007)

Violence

0.0079466692

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0074121395

OpenAI Moderation v1 (007)

Violence > Graphic

0.0064424145

OpenAI Moderation v1 (007)

Sexual > Minors

0.0056769208

OpenAI Moderation v1 (007)

Hate

0.0046562058

OpenAI Moderation v1 (007)

Self-Harm

0.0006593255

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.00027564

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001800254

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001018106

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.8

Flesch-Kincaid Ease

79.7

Gunning-Fog Score

4.3

Coleman-Liau Index

9.4

SMOG Index

3.3

Automated Readability Index

4.1

Dale-Chall Readability Score

5

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

6

Mary Leary

Senator Biden, when I talk about reentry, I am talking about how we go about reintegrating offenders when they come out of institutions. Many of them have drug problems, but some of them do not as well, but how do we help communities who have to deal with 500,000, 600,000 incarcerated individuals coming out of institutions back into the community every year; how do we keep them on the straight and narrow;, how do we keep them from getting involved again in criminal activity, from getting involved again in drug abuse, from getting involved again in all the kinds of things that led them to incarceration in the first place.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

-0.17647

Leans Negative

Harvard-IV (Absolute)

-0.17647

Leans Negative

Harvard-IV (Logit)

-0.33647

VADER

-0.862

Very Negative

Moderation

Harassment

0.1155295875

OpenAI Moderation v1 (007)

Hate

0.0759828079

OpenAI Moderation v1 (007)

Violence

0.029548569

OpenAI Moderation v1 (007)

Sexual

0.0268036034

OpenAI Moderation v1 (007)

Harassment > Threatening

0.013164671

OpenAI Moderation v1 (007)

Violence > Graphic

0.0093386239

OpenAI Moderation v1 (007)

Hate > Threatening

0.0067045556

OpenAI Moderation v1 (007)

Sexual > Minors

0.0016154885

OpenAI Moderation v1 (007)

Self-Harm

0.0003626113

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002271945

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001039541

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

23.9

Gunning-Fog Score

19

Coleman-Liau Index

10.1

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

21

Joe Biden

And you are talking about drug-addicted or drug-arrested -- that their convictions are based upon a drug offense or that there is a basis to believe that they were addicted to drugs when they went into the system?

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-0.2

Slightly Negative

Harvard-IV (Absolute)

-0.2

Slightly Negative

Harvard-IV (Logit)

-0.33647

VADER

-0.25

Slightly Negative

Moderation

Harassment

0.0085527608

OpenAI Moderation v1 (007)

Violence

0.0056909976

OpenAI Moderation v1 (007)

Sexual

0.0050974682

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0025724456

OpenAI Moderation v1 (007)

Hate

0.0006899372

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002920738

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001364467

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.50551E-5

OpenAI Moderation v1 (007)

Self-Harm

1.32301E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.3368E-6

OpenAI Moderation v1 (007)

Hate > Threatening

3.3141E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

41.4

Gunning-Fog Score

19

Coleman-Liau Index

10

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

9

Mary Leary

No. I am talking about any incarcerated offender.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-1

Very Negative

Harvard-IV (Absolute)

-1

Very Negative

Harvard-IV (Logit)

-1.09861

VADER

-0.572

Very Negative

Moderation

Harassment

0.2058302751

OpenAI Moderation v1 (007)

Hate

0.0304174231

OpenAI Moderation v1 (007)

Violence

0.0270044722

OpenAI Moderation v1 (007)

Violence > Graphic

0.020453929

OpenAI Moderation v1 (007)

Sexual

0.016028776

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0105034305

OpenAI Moderation v1 (007)

Hate > Threatening

0.0011605118

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008640616

OpenAI Moderation v1 (007)

Self-Harm

0.0004447962

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0004036595

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.9243E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11

Flesch-Kincaid Ease

23

Gunning-Fog Score

11.6

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

4.1

Dale-Chall Readability Score

6.1

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Joe Biden

Any incarcerated individual?

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

0.0135204536

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0073882518

OpenAI Moderation v1 (007)

Harassment

0.0020420202

OpenAI Moderation v1 (007)

Sexual

0.0007883848

OpenAI Moderation v1 (007)

Hate

0.0004938845

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004820817

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002712859

OpenAI Moderation v1 (007)

Sexual > Minors

6.91539E-5

OpenAI Moderation v1 (007)

Self-Harm

3.73475E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.5549E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.4556E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

0

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Mary Leary

But we know from our research that a vast percentage of incarcerated individuals have problems with drug abuse, alcohol abuse, and there are many other co-occurring disorders as well.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

-0.14286

Leans Negative

Harvard-IV (Absolute)

-0.14286

Leans Negative

Harvard-IV (Logit)

-0.25131

VADER

-0.875

Very Negative

Moderation

Harassment > Threatening

0.0081733611

OpenAI Moderation v1 (007)

Harassment

0.0057850622

OpenAI Moderation v1 (007)

Violence

0.0052907406

OpenAI Moderation v1 (007)

Violence > Graphic

0.0016541942

OpenAI Moderation v1 (007)

Sexual

0.0008501369

OpenAI Moderation v1 (007)

Hate

0.0005162794

OpenAI Moderation v1 (007)

Self-Harm

0.0003838662

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003383912

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001349432

OpenAI Moderation v1 (007)

Sexual > Minors

4.26981E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.1659E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

29.7

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

13

Sprache Difficult Word Count

11

Mary Leary

But oftentimes when these individuals return to the communities from the institutions, they have little or no supervision, and about 20 percent of them have no supervision whatsoever. So within 3 years, we know that perhaps two-thirds of them, about two-thirds of them, recidivate. So we are developing approaches to deal with the need for post- incarceration supervision through reentry courts, which are modeled on the drug court model, and also through reentry partnerships which establish a network of community support services to help individuals with a reentry plan coming back into the community, monitoring their adherence to the plan, and monitoring recidivism.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.75

Very Positive

Harvard-IV (Absolute)

0.75

Very Positive

Harvard-IV (Logit)

1.75786

VADER

0.313

Somewhat Positive

Moderation

Harassment

0.0147625193

OpenAI Moderation v1 (007)

Sexual

0.0059500609

OpenAI Moderation v1 (007)

Violence > Graphic

0.002795277

OpenAI Moderation v1 (007)

Violence

0.0014855245

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007806056

OpenAI Moderation v1 (007)

Self-Harm

0.0003416234

OpenAI Moderation v1 (007)

Hate

0.0001916325

OpenAI Moderation v1 (007)

Sexual > Minors

7.37872E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.92764E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.5725E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.0283E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

24.7

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

31

Sprache Difficult Word Count

28

Mary Leary

It draws on the resources of the community to help deal with the need for housing, employment skills, substance abuse treatment, and the like, so that the individuals get the kind of support they need to be held accountable, and the communities can be ensured of their public safety.

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)

1.02165

VADER

0.465

Positive

Moderation

Sexual

0.0970575085

OpenAI Moderation v1 (007)

Harassment

0.0322916079

OpenAI Moderation v1 (007)

Hate

0.0258068903

OpenAI Moderation v1 (007)

Self-Harm

0.0201073562

OpenAI Moderation v1 (007)

Violence

0.0173660344

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0083827676

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0032382653

OpenAI Moderation v1 (007)

Violence > Graphic

0.0029749242

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020150264

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005860315

OpenAI Moderation v1 (007)

Hate > Threatening

3.85197E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

27.6

Gunning-Fog Score

19

Coleman-Liau Index

11.7

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

16

Mary Leary

We are in the very initial stages of these reentry initiatives, but we believe that they hold significant potential for improving public safety and for reducing recidivism.

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

0.863

Very Positive

Moderation

Violence

0.0062822488

OpenAI Moderation v1 (007)

Sexual

0.0054201479

OpenAI Moderation v1 (007)

Harassment

0.0029495739

OpenAI Moderation v1 (007)

Self-Harm

0.0017990569

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0016575357

OpenAI Moderation v1 (007)

Hate

0.0012027242

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011754776

OpenAI Moderation v1 (007)

Sexual > Minors

0.0010959873

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001093329

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.1693E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.5655E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

16.5

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

11

Joe Biden

What is the relevance of drug courts? Is it just that the model of drug courts --

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0

Neutral

Moderation

Violence

0.1928242855

OpenAI Moderation v1 (007)

Sexual

0.1190127106

OpenAI Moderation v1 (007)

Violence > Graphic

0.0729289954

OpenAI Moderation v1 (007)

Sexual > Minors

0.0438104005

OpenAI Moderation v1 (007)

Hate

0.0245253701

OpenAI Moderation v1 (007)

Self-Harm

0.0155609334

OpenAI Moderation v1 (007)

Harassment

0.0083099672

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0053846925

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0044435557

OpenAI Moderation v1 (007)

Hate > Threatening

0.0012153472

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0004641422

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

1.5

Flesch-Kincaid Ease

98.3

Gunning-Fog Score

5.7

Coleman-Liau Index

7

SMOG Index

7.3

Automated Readability Index

0.8

Dale-Chall Readability Score

4.3

Sprache Readability Score

2

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

4

Mary Leary

The model of drug courts. Well, I think it is important because the model of drug courts was actually kind of an inspiration for working with a number of communities on developing reentry courts.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.3979

VADER

0.629

Very Positive

Moderation

Sexual

0.0601495616

OpenAI Moderation v1 (007)

Violence

0.0262456946

OpenAI Moderation v1 (007)

Hate

0.0137585215

OpenAI Moderation v1 (007)

Harassment

0.0080362421

OpenAI Moderation v1 (007)

Sexual > Minors

0.0068062996

OpenAI Moderation v1 (007)

Violence > Graphic

0.0019571578

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008415324

OpenAI Moderation v1 (007)

Self-Harm

0.0001349049

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001098883

OpenAI Moderation v1 (007)

Hate > Threatening

6.13108E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.761E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.8

Flesch-Kincaid Ease

55.2

Gunning-Fog Score

12.7

Coleman-Liau Index

11.7

SMOG Index

12

Automated Readability Index

9.1

Dale-Chall Readability Score

5.5

Sprache Readability Score

3.5

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

9

Joe Biden

I just want to understand what point you were trying to make relative to drug courts. It is just --

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.077

Neutral

Moderation

Violence

0.0080690465

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0070360737

OpenAI Moderation v1 (007)

Harassment

0.005055347

OpenAI Moderation v1 (007)

Sexual

0.0037496087

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017103137

OpenAI Moderation v1 (007)

Self-Harm

0.0008679349

OpenAI Moderation v1 (007)

Violence > Graphic

0.0008623403

OpenAI Moderation v1 (007)

Hate

0.0003410121

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.23265E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.82895E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.5295E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.4

Flesch-Kincaid Ease

94.8

Gunning-Fog Score

8

Coleman-Liau Index

8

SMOG Index

9

Automated Readability Index

2.4

Dale-Chall Readability Score

3

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

5

Mary Leary

That drug courts have provided a very successful model.

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

0.62

Very Positive

Moderation

Violence

0.0624849286

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0364598411

OpenAI Moderation v1 (007)

Harassment

0.0303699868

OpenAI Moderation v1 (007)

Hate

0.0048500431

OpenAI Moderation v1 (007)

Violence > Graphic

0.0037308222

OpenAI Moderation v1 (007)

Sexual

0.0009657246

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009104469

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000890396

OpenAI Moderation v1 (007)

Self-Harm

0.0002636333

OpenAI Moderation v1 (007)

Hate > Threatening

9.37332E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.6401E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

56.7

Gunning-Fog Score

12.5

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

7.1

Dale-Chall Readability Score

7.5

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

5

Joe Biden

OK. Good.

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

0.703

Very Positive

Moderation

Sexual

0.1087899203

OpenAI Moderation v1 (007)

Hate

0.0392155431

OpenAI Moderation v1 (007)

Harassment

0.0196000721

OpenAI Moderation v1 (007)

Violence

0.0081813625

OpenAI Moderation v1 (007)

Sexual > Minors

0.0031037798

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025318664

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010251198

OpenAI Moderation v1 (007)

Self-Harm

6.761E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.72258E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.39138E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.10055E-5

OpenAI Moderation v1 (007)

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

7.9

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

And in addition, I think that the reentry initiative can build on the success of drug courts by providing a host of services and support and sanctions for folks who come out of the institutions, and many of them are people who actually are in need of drug court intervention.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

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

0.751

Very Positive

Moderation

Harassment

0.0303079141

OpenAI Moderation v1 (007)

Sexual

0.0257091509

OpenAI Moderation v1 (007)

Violence

0.0063243366

OpenAI Moderation v1 (007)

Hate

0.0056377805

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0022079003

OpenAI Moderation v1 (007)

Sexual > Minors

0.000976107

OpenAI Moderation v1 (007)

Self-Harm

0.00041435

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004023535

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.79166E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.76364E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.3102E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

29.2

Gunning-Fog Score

19

Coleman-Liau Index

10.5

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

15

Joe Biden

Can I ask another question? Are these -- excuse me. The models that you are contemplating or initiating relating to, quote, reentry courts and/or reentry partner partnerships, would it be required to participate in the reentry courts as a condition of sentencing or condition -- since we don't have in the Federal system probation, what is the -- in other words, what constitutional authority do you have at a Federal level, or are these State models --

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

Neutral

Moderation

Harassment

0.1105157542

OpenAI Moderation v1 (007)

Hate

0.0959916564

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0074273157

OpenAI Moderation v1 (007)

Violence

0.0051542189

OpenAI Moderation v1 (007)

Self-Harm

0.0018171882

OpenAI Moderation v1 (007)

Sexual

0.0017352497

OpenAI Moderation v1 (007)

Violence > Graphic

0.0005519321

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002311496

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001005923

OpenAI Moderation v1 (007)

Hate > Threatening

2.42712E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.72489E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44.6

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

5

Dale-Chall Difficult Word Score

21

Sprache Difficult Word Count

22

Mary Leary

These are State.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Sexual

0.0301044551

OpenAI Moderation v1 (007)

Hate

0.0041090785

OpenAI Moderation v1 (007)

Violence

0.0025280302

OpenAI Moderation v1 (007)

Harassment

0.0016579956

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013579381

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004378226

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004010675

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002463488

OpenAI Moderation v1 (007)

Self-Harm

0.0002397471

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.65521E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.20537E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

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

Mary Leary

Senator Biden [continuing]. Models you are setting up to hopefully encourage States to fund and States to --

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

0.718

Very Positive

Moderation

Violence

0.020176766

OpenAI Moderation v1 (007)

Violence > Graphic

0.0058382109

OpenAI Moderation v1 (007)

Hate

0.0024921772

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011602605

OpenAI Moderation v1 (007)

Harassment

0.0009109044

OpenAI Moderation v1 (007)

Self-Harm

0.0003779053

OpenAI Moderation v1 (007)

Sexual

0.0003763225

OpenAI Moderation v1 (007)

Sexual > Minors

0.000165642

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.51095E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.23068E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.77622E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6

Flesch-Kincaid Ease

66.5

Gunning-Fog Score

8.2

Coleman-Liau Index

12

SMOG Index

10.3

Automated Readability Index

4.9

Dale-Chall Readability Score

6.3

Sprache Readability Score

2.3

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

8

Mary Leary

These are State and local.

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

0.0601495616

OpenAI Moderation v1 (007)

Violence

0.0262456946

OpenAI Moderation v1 (007)

Hate

0.0137585215

OpenAI Moderation v1 (007)

Harassment

0.0080362421

OpenAI Moderation v1 (007)

Sexual > Minors

0.0068062996

OpenAI Moderation v1 (007)

Violence > Graphic

0.0019571578

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008415324

OpenAI Moderation v1 (007)

Self-Harm

0.0001349049

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001098883

OpenAI Moderation v1 (007)

Hate > Threatening

6.13108E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.761E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.5

Flesch-Kincaid Ease

100

Gunning-Fog Score

2

Coleman-Liau Index

8.9

SMOG Index

3.3

Automated Readability Index

0.9

Dale-Chall Readability Score

3.4

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Joe Biden

Would it be required that the participation in these reentry courts be a condition of sentencing in the first instance?

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

-0.153

Leans Negative

Moderation

Self-Harm

0.0149090323

OpenAI Moderation v1 (007)

Harassment

0.0051421855

OpenAI Moderation v1 (007)

Violence

0.0014526554

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0009414807

OpenAI Moderation v1 (007)

Hate

0.0005721909

OpenAI Moderation v1 (007)

Sexual

0.0004465759

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002939883

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002490718

OpenAI Moderation v1 (007)

Violence > Graphic

0.000161213

OpenAI Moderation v1 (007)

Sexual > Minors

6.53074E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.711E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.5

Flesch-Kincaid Ease

55.4

Gunning-Fog Score

14

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

11.9

Dale-Chall Readability Score

5.7

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

7

Mary Leary

It could be, and the reentry courts are just getting up and running, and they are developing their criteria now.

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

Neutral

Moderation

Violence

0.0491655548

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0361468206

OpenAI Moderation v1 (007)

Violence > Graphic

0.0243466726

OpenAI Moderation v1 (007)

Sexual

0.0091703019

OpenAI Moderation v1 (007)

Harassment

0.0055145305

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020965716

OpenAI Moderation v1 (007)

Self-Harm

0.0012124588

OpenAI Moderation v1 (007)

Hate

0.0004779211

OpenAI Moderation v1 (007)

Hate > Threatening

8.80771E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.78657E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.4888E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.3

Flesch-Kincaid Ease

63.9

Gunning-Fog Score

12

Coleman-Liau Index

10.7

SMOG Index

11.3

Automated Readability Index

9.8

Dale-Chall Readability Score

3.4

Sprache Readability Score

3.6

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Joe Biden

I mean, I am the guy that introduced the bill.

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

0.0332422933

OpenAI Moderation v1 (007)

Violence

0.0116529678

OpenAI Moderation v1 (007)

Harassment

0.0092360955

OpenAI Moderation v1 (007)

Self-Harm

0.0021253041

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0009160372

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003482351

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003152587

OpenAI Moderation v1 (007)

Hate

0.0002102623

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001954533

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.88138E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.997E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.5

Flesch-Kincaid Ease

95.2

Gunning-Fog Score

8

Coleman-Liau Index

4.8

SMOG Index

9

Automated Readability Index

0.1

Dale-Chall Readability Score

2.1

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

3

Mary Leary

I know 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

Neutral

Moderation

Harassment > Threatening

0.0180707488

OpenAI Moderation v1 (007)

Violence

0.0060105227

OpenAI Moderation v1 (007)

Harassment

0.0038232502

OpenAI Moderation v1 (007)

Sexual

0.0017862643

OpenAI Moderation v1 (007)

Self-Harm

0.0016548505

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002564868

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001563454

OpenAI Moderation v1 (007)

Hate

0.0001281868

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.4123E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.49732E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.2271E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.2

Coleman-Liau Index

1.8

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.1

Sprache Readability Score

1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Joe Biden

But my point is I think it is worth explaining what you mean, because I know even though I am the guy that introduced the drug court bill and introduced this, I think the average listener or the record when you read it, it will be hard to understand why you went in one breath from drug courts to these courts without explaining in detail why you were putting them together.

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

0.128

Leans Positive

Moderation

Violence

0.0152237713

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0050092058

OpenAI Moderation v1 (007)

Sexual

0.0025130192

OpenAI Moderation v1 (007)

Harassment

0.0014036348

OpenAI Moderation v1 (007)

Violence > Graphic

0.0005836132

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003038286

OpenAI Moderation v1 (007)

Self-Harm

0.0002110671

OpenAI Moderation v1 (007)

Hate

7.8064E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.5443E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.8973E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.808E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

24

Gunning-Fog Score

19

Coleman-Liau Index

9.1

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

12

Joe Biden

I just want to make sure no one is confusing this.

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

-0.128

Leans Negative

Moderation

Sexual

0.0511523802

OpenAI Moderation v1 (007)

Sexual > Minors

0.016743195

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0029876986

OpenAI Moderation v1 (007)

Violence > Graphic

0.002729446

OpenAI Moderation v1 (007)

Violence

0.0026941771

OpenAI Moderation v1 (007)

Self-Harm

0.0008248618

OpenAI Moderation v1 (007)

Harassment

0.0007509261

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004877043

OpenAI Moderation v1 (007)

Hate

5.92467E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.0614E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.71032E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.6

Flesch-Kincaid Ease

95.7

Gunning-Fog Score

8

Coleman-Liau Index

5.1

SMOG Index

9

Automated Readability Index

0.8

Dale-Chall Readability Score

2

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

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

Violence

0.0128255371

OpenAI Moderation v1 (007)

Self-Harm

0.0054897122

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0037984832

OpenAI Moderation v1 (007)

Sexual > Minors

0.0030571013

OpenAI Moderation v1 (007)

Violence > Graphic

0.0022723934

OpenAI Moderation v1 (007)

Harassment

0.0017437633

OpenAI Moderation v1 (007)

Sexual

0.0014326472

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004222177

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003941332

OpenAI Moderation v1 (007)

Hate

0.000111339

OpenAI Moderation v1 (007)

Hate > Threatening

2.19928E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

2.6

Dale-Chall Readability Score

0

Sprache Readability Score

0.8

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Joe Biden

But I don't want anybody walking away thinking that what you are talking about is extending the drug courts into becoming reentry courts, because if you didn't listen closely, at least that is what I was worried you were saying, as opposed to the drug court model being a potential model for reentry courts, totally unrelated, totally unrelated to the existence of the drug court.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-1

Very Negative

Harvard-IV (Absolute)

-1

Very Negative

Harvard-IV (Logit)

-1.60944

VADER

-0.316

Somewhat Negative

Moderation

Harassment

0.0437406125

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0120123885

OpenAI Moderation v1 (007)

Violence

0.0088070403

OpenAI Moderation v1 (007)

Violence > Graphic

0.0026962025

OpenAI Moderation v1 (007)

Sexual

0.0017069635

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003900924

OpenAI Moderation v1 (007)

Hate

0.0002895768

OpenAI Moderation v1 (007)

Self-Harm

8.12433E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.21534E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.9128E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.1927E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

4.2

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

21

Sprache Difficult Word Count

19

Joe Biden

You could have a State with no drug courts in it, like North Dakota, and it could end up having 10 reentry courts in the State. 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)

1.60944

VADER

0.077

Neutral

Moderation

Harassment

0.0079976504

OpenAI Moderation v1 (007)

Violence

0.0068642192

OpenAI Moderation v1 (007)

Violence > Graphic

0.0059455801

OpenAI Moderation v1 (007)

Sexual

0.0044713554

OpenAI Moderation v1 (007)

Self-Harm

0.003944409

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0035725312

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001052005

OpenAI Moderation v1 (007)

Hate

7.18844E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.81407E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.706E-7

OpenAI Moderation v1 (007)

Hate > Threatening

3.1E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.2

Flesch-Kincaid Ease

96

Gunning-Fog Score

5.4

Coleman-Liau Index

6.9

SMOG Index

7.3

Automated Readability Index

3.5

Dale-Chall Readability Score

2.4

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

7

Mary Leary

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

Sexual

0.0819221779

OpenAI Moderation v1 (007)

Violence

0.0431962835

OpenAI Moderation v1 (007)

Violence > Graphic

0.0207324672

OpenAI Moderation v1 (007)

Harassment

0.0105684121

OpenAI Moderation v1 (007)

Sexual > Minors

0.0050893857

OpenAI Moderation v1 (007)

Hate

0.0027304666

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0026018521

OpenAI Moderation v1 (007)

Self-Harm

0.0002019806

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.78802E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.27787E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.4513E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

36.6

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

12

Dale-Chall Readability Score

0

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Joe Biden

OK. Because the greatest -- and I apologize for the intervention, Mr. Chairman.

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

0.819

Very Positive

Moderation

Violence > Graphic

0.0461514108

OpenAI Moderation v1 (007)

Sexual

0.0204459153

OpenAI Moderation v1 (007)

Violence

0.0203073301

OpenAI Moderation v1 (007)

Sexual > Minors

0.0037719125

OpenAI Moderation v1 (007)

Harassment

0.0014895818

OpenAI Moderation v1 (007)

Self-Harm

0.0006356506

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004684861

OpenAI Moderation v1 (007)

Hate

0.0001909381

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.128E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.1354E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.8204E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.6

Flesch-Kincaid Ease

54.7

Gunning-Fog Score

8.3

Coleman-Liau Index

12

SMOG Index

7.9

Automated Readability Index

4.5

Dale-Chall Readability Score

8.1

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

6

Joe Biden

The greatest problem I had in trying to sell the drug court idea, however many years ago it was now -- 6, 8, 10 years or however how long it was. God, it is a long time. How long has it been? I have been here a long time. At any rate, it was that people thought that this was a criminal court that you went to post-conviction. Do you follow me?

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

-0.2

Slightly Negative

Harvard-IV (Absolute)

-0.2

Slightly Negative

Harvard-IV (Logit)

-0.33647

VADER

0.607

Very Positive

Moderation

Violence

0.0077826124

OpenAI Moderation v1 (007)

Sexual

0.0034325596

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0027906186

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020162202

OpenAI Moderation v1 (007)

Harassment

0.0012124195

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001547376

OpenAI Moderation v1 (007)

Self-Harm

3.88986E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.32413E-5

OpenAI Moderation v1 (007)

Hate

1.14203E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.7461E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.722E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.2

Flesch-Kincaid Ease

93.6

Gunning-Fog Score

7.6

Coleman-Liau Index

5

SMOG Index

8.5

Automated Readability Index

1.3

Dale-Chall Readability Score

1.9

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

10

Mary Leary

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

Harassment

0.0101951322

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0020612944

OpenAI Moderation v1 (007)

Violence

0.0014236557

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011428796

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005418042

OpenAI Moderation v1 (007)

Sexual

0.0004535582

OpenAI Moderation v1 (007)

Hate

0.0003418955

OpenAI Moderation v1 (007)

Self-Harm

3.9113E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.2297E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.1092E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.45E-8

OpenAI Moderation v1 (007)

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

Joe Biden

So that is why I don't want any confusion here about delineating the nature of the courts.

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

0.068

Neutral

Moderation

Harassment > Threatening

0.0254085404

OpenAI Moderation v1 (007)

Harassment

0.0167029808

OpenAI Moderation v1 (007)

Violence

0.0123932055

OpenAI Moderation v1 (007)

Hate

0.0021760205

OpenAI Moderation v1 (007)

Violence > Graphic

0.00034123

OpenAI Moderation v1 (007)

Sexual

8.93661E-5

OpenAI Moderation v1 (007)

Self-Harm

5.02972E-5

OpenAI Moderation v1 (007)

Sexual > Minors

4.6203E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.14351E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.6459E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.953E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

65.2

Gunning-Fog Score

11.5

Coleman-Liau Index

9.1

SMOG Index

11.3

Automated Readability Index

7

Dale-Chall Readability Score

3.6

Sprache Readability Score

3

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

4

Mary Leary

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

Violence

0.1928145532

OpenAI Moderation v1 (007)

Harassment

0.0727196108

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0391160953

OpenAI Moderation v1 (007)

Violence > Graphic

0.0137473471

OpenAI Moderation v1 (007)

Hate

0.0013447724

OpenAI Moderation v1 (007)

Sexual

0.0011323722

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007747518

OpenAI Moderation v1 (007)

Self-Harm

0.0001109421

OpenAI Moderation v1 (007)

Hate > Threatening

8.88477E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.06517E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.8909E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

2.6

Dale-Chall Readability Score

0

Sprache Readability Score

0.8

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Joe Biden

I found some difficulty in convincing people of the drug court route.

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

Violence > Graphic

0.0538524298

OpenAI Moderation v1 (007)

Violence

0.03734731

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0084357096

OpenAI Moderation v1 (007)

Harassment

0.0034138833

OpenAI Moderation v1 (007)

Self-Harm

0.0031789514

OpenAI Moderation v1 (007)

Sexual

0.0028275033

OpenAI Moderation v1 (007)

Sexual > Minors

0.0027333166

OpenAI Moderation v1 (007)

Hate

0.000449962

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001896165

OpenAI Moderation v1 (007)

Hate > Threatening

4.81244E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.46407E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.8

Flesch-Kincaid Ease

67.8

Gunning-Fog Score

11.5

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

6.9

Dale-Chall Readability Score

4.5

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

5

Mary Leary

Yes. The drug courts have been a model, and we have seen that it has been successful, that you can use the power of the court basically and that leverage to pull the levers and hold people accountable.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.19722

VADER

0.758

Very Positive

Moderation

Harassment

0.0383069884

OpenAI Moderation v1 (007)

Violence

0.0268118834

OpenAI Moderation v1 (007)

Hate

0.011102912

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0040013827

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004337937

OpenAI Moderation v1 (007)

Self-Harm

0.0001623555

OpenAI Moderation v1 (007)

Sexual

0.0001339394

OpenAI Moderation v1 (007)

Sexual > Minors

7.82982E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.2866E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.21664E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.7481E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8

Flesch-Kincaid Ease

71.8

Gunning-Fog Score

11.8

Coleman-Liau Index

9

SMOG Index

11.3

Automated Readability Index

7.9

Dale-Chall Readability Score

3.9

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

9

Joe Biden

Thank you very much. I am sorry for the intervention.

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

0.228

Slightly Positive

Moderation

Harassment

0.4371570889

OpenAI Moderation v1 (007)

Violence

0.0433126435

OpenAI Moderation v1 (007)

Hate

0.0081362137

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0067377041

OpenAI Moderation v1 (007)

Self-Harm

0.0032523563

OpenAI Moderation v1 (007)

Sexual

0.0020792584

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011057658

OpenAI Moderation v1 (007)

Sexual > Minors

0.000797789

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001640533

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.25761E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.87598E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.1

Flesch-Kincaid Ease

74.9

Gunning-Fog Score

6

Coleman-Liau Index

8.9

SMOG Index

7.3

Automated Readability Index

0.9

Dale-Chall Readability Score

1.8

Sprache Readability Score

1.3

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

No. That is fine, and I also mention it because we had discussed earlier in the hearing some of our broader initiatives at preventing drug use by individuals in the community, and this is another way in which we can do that post-incarceration.

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

-0.128

Leans Negative

Moderation

Harassment

0.0745675701

OpenAI Moderation v1 (007)

Violence

0.0269544398

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0180309056

OpenAI Moderation v1 (007)

Hate

0.0109374902

OpenAI Moderation v1 (007)

Sexual

0.0020982097

OpenAI Moderation v1 (007)

Violence > Graphic

0.0014946817

OpenAI Moderation v1 (007)

Self-Harm

0.0009501071

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001439708

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.9326E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.7535E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.578E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.5

Flesch-Kincaid Ease

51.8

Gunning-Fog Score

15.2

Coleman-Liau Index

10.4

SMOG Index

12

Automated Readability Index

10.6

Dale-Chall Readability Score

4.7

Sprache Readability Score

4.3

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

12

Mary Leary

So through these initiatives, host and the drug court programs, Office of Justice Programs is going to continue to assist State and local communities to address the problem of illegal drug use. I look forward to working with you, Mr. Chairman, and the other members of this committee, to further our efforts in this regard.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

0.5

Positive

Harvard-IV (Absolute)

0.5

Positive

Harvard-IV (Logit)

0.95551

VADER

-0.44

Negative

Moderation

Harassment

0.1632632106

OpenAI Moderation v1 (007)

Violence

0.0665229512

OpenAI Moderation v1 (007)

Sexual

0.016018693

OpenAI Moderation v1 (007)

Hate

0.0087388507

OpenAI Moderation v1 (007)

Violence > Graphic

0.0028585631

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0023575674

OpenAI Moderation v1 (007)

Self-Harm

0.0009733841

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002388665

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001360061

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.2288E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.1369E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.4

Flesch-Kincaid Ease

60.6

Gunning-Fog Score

11

Coleman-Liau Index

12

SMOG Index

10.6

Automated Readability Index

10.1

Dale-Chall Readability Score

6.4

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

19

Sprache Difficult Word Count

23

Mary Leary

Thank you very much for the opportunity to speak. I am happy to answer any questions that you have.

Sentiment

Loughran McDonald (Relative)

0.33333

Somewhat Positive

Loughran McDonald (Absolute)

0.33333

Somewhat Positive

Loughran McDonald (Logit)

0.51083

Harvard-IV (Relative)

0.5

Positive

Harvard-IV (Absolute)

0.5

Positive

Harvard-IV (Logit)

0.8473

VADER

0.84

Very Positive

Moderation

Violence

0.0136957315

OpenAI Moderation v1 (007)

Harassment

0.008341128

OpenAI Moderation v1 (007)

Sexual

0.0037624028

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001893811

OpenAI Moderation v1 (007)

Hate

0.0006948652

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006137885

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002437562

OpenAI Moderation v1 (007)

Self-Harm

8.54224E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.21763E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.6419E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.4337E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.1

Flesch-Kincaid Ease

68.1

Gunning-Fog Score

8

Coleman-Liau Index

8.7

SMOG Index

9

Automated Readability Index

2.9

Dale-Chall Readability Score

1.3

Sprache Readability Score

2

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Jeff Sessions

Thank you. I think there is a role for drug courts, and we need to make sure their work is as absolutely fine as it possibly can be.

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

0.706

Very Positive

Moderation

Hate

0.0955632597

OpenAI Moderation v1 (007)

Harassment

0.0249598495

OpenAI Moderation v1 (007)

Self-Harm

0.0068516369

OpenAI Moderation v1 (007)

Violence

0.0037666461

OpenAI Moderation v1 (007)

Sexual

0.0024018285

OpenAI Moderation v1 (007)

Violence > Graphic

0.001973219

OpenAI Moderation v1 (007)

Sexual > Minors

0.0016984824

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005691655

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001929581

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001735927

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001128187

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.8

Flesch-Kincaid Ease

92.9

Gunning-Fog Score

8.5

Coleman-Liau Index

5.6

SMOG Index

9

Automated Readability Index

2.7

Dale-Chall Readability Score

3

Sprache Readability Score

2.8

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

5

Jeff Sessions

Senator Biden, we have a vote on, and I would be glad to give you your choice. If you would like to do an opening statement now as a ranking member?

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

0.671

Very Positive

Moderation

Harassment

28.172031045

OpenAI Moderation v1 (007)

Harassment > Threatening

5.2362006158

OpenAI Moderation v1 (007)

Hate

2.5210274383

OpenAI Moderation v1 (007)

Violence

1.0653199628

OpenAI Moderation v1 (007)

Violence > Graphic

0.0057286277

OpenAI Moderation v1 (007)

Hate > Threatening

0.0025189072

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002505793

OpenAI Moderation v1 (007)

Sexual

7.85902E-5

OpenAI Moderation v1 (007)

Self-Harm

4.10197E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.5747E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.145E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.3

Flesch-Kincaid Ease

84.7

Gunning-Fog Score

7.5

Coleman-Liau Index

5.8

SMOG Index

9

Automated Readability Index

3.6

Dale-Chall Readability Score

3.3

Sprache Readability Score

3.2

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

8

Joe Biden

No. I don't need to make an opening statement. Thank you. I just ask unanimous consent that my statement be placed in the record.

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

0.296

Slightly Positive

Moderation

Violence

0.0135612572

OpenAI Moderation v1 (007)

Violence > Graphic

0.003863372

OpenAI Moderation v1 (007)

Sexual

0.0029706833

OpenAI Moderation v1 (007)

Harassment

0.0027438309

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011788869

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004293418

OpenAI Moderation v1 (007)

Self-Harm

0.0004188541

OpenAI Moderation v1 (007)

Hate

0.0001215364

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.47987E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.19215E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.17285E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3

Flesch-Kincaid Ease

84.4

Gunning-Fog Score

5.7

Coleman-Liau Index

8.9

SMOG Index

7.3

Automated Readability Index

1.4

Dale-Chall Readability Score

4.2

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

6

Jeff Sessions

All 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 > Threatening

0.1423192909

OpenAI Moderation v1 (007)

Harassment

0.0644716783

OpenAI Moderation v1 (007)

Violence

0.0481250725

OpenAI Moderation v1 (007)

Hate

0.0083485844

OpenAI Moderation v1 (007)

Sexual

0.0050802017

OpenAI Moderation v1 (007)

Violence > Graphic

0.0036323818

OpenAI Moderation v1 (007)

Self-Harm

0.0013660991

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008626651

OpenAI Moderation v1 (007)

Hate > Threatening

0.0006037703

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.34078E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.34815E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

7.6

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

Note

[The prepared statement of Senator Biden follows:] Prepared Statement of Hon. Joseph R. Biden, Jr., a U.S. Senator From the State of Delaware Mr. Chairman, thank you for convening this hearing today to look at the drug court program. I have been involved with drug courts since their inception and I believe in them. And, as the author -- along with Senator Specter -- of legislation to reauthorize the drug court program, I look forward to exploring today how we can help them work even better.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

0.71429

Very Positive

Harvard-IV (Absolute)

0.71429

Very Positive

Harvard-IV (Logit)

1.46634

VADER

0.84

Very Positive

Moderation

Harassment

0.6123109255

OpenAI Moderation v1 (007)

Harassment > Threatening

0.1530365436

OpenAI Moderation v1 (007)

Violence

0.1140458626

OpenAI Moderation v1 (007)

Hate

0.0561886933

OpenAI Moderation v1 (007)

Sexual

0.0014014493

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013026419

OpenAI Moderation v1 (007)

Violence > Graphic

0.0008329278

OpenAI Moderation v1 (007)

Self-Harm

0.0002453086

OpenAI Moderation v1 (007)

Hate > Threatening

0.000238799

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002359501

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.30927E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.9

Flesch-Kincaid Ease

75.5

Gunning-Fog Score

6.5

Coleman-Liau Index

10.4

SMOG Index

8.6

Automated Readability Index

3.9

Dale-Chall Readability Score

5.1

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

23

Sprache Difficult Word Count

24

Jeff Sessions

I look forward to hearing from all of our witnesses this morning, but let me take a minute to thank Judge Gebelein for being here.

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

0.502

Very Positive

Moderation

Harassment

0.0889570452

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0300909393

OpenAI Moderation v1 (007)

Violence > Graphic

0.0251101301

OpenAI Moderation v1 (007)

Violence

0.0114115865

OpenAI Moderation v1 (007)

Hate

0.0049919192

OpenAI Moderation v1 (007)

Sexual

0.0007692513

OpenAI Moderation v1 (007)

Self-Harm

0.0003992255

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003755059

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003634117

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.74089E-5

OpenAI Moderation v1 (007)

Hate > Threatening

6.74727E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.7

Flesch-Kincaid Ease

69.8

Gunning-Fog Score

10

Coleman-Liau Index

8.7

SMOG Index

9

Automated Readability Index

10.7

Dale-Chall Readability Score

2.5

Sprache Readability Score

4.2

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

6

Jeff Sessions

Not only is Judge Gebelein one of the nation's foremost experts on drug courts, but he also is in charge of the drug court program in my home state of Delaware.

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

0.0070082904

OpenAI Moderation v1 (007)

Sexual

0.0036157482

OpenAI Moderation v1 (007)

Violence

0.0023170282

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0017622948

OpenAI Moderation v1 (007)

Hate

0.0006995007

OpenAI Moderation v1 (007)

Self-Harm

0.0003949433

OpenAI Moderation v1 (007)

Violence > Graphic

0.0002881814

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002536631

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.35788E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.24106E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.0573E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

60.8

Gunning-Fog Score

12.4

Coleman-Liau Index

8.3

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

5.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

11

Jeff Sessions

I have been an observer in Judge Gebelein's Drug court -- he is known as a "tough judge," but he's also smart enough to know that the old system of locking up every drug offender and throwing away the key -- with no treatment and no supervision upon release was failing our criminal justice system and the public at large.

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

-0.875

Very Negative

Moderation

Harassment

0.0382469239

OpenAI Moderation v1 (007)

Sexual

0.0349934504

OpenAI Moderation v1 (007)

Violence

0.0148445164

OpenAI Moderation v1 (007)

Sexual > Minors

0.0121939367

OpenAI Moderation v1 (007)

Hate

0.0047259331

OpenAI Moderation v1 (007)

Self-Harm

0.0025314346

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0010456382

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010382861

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007755842

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004320584

OpenAI Moderation v1 (007)

Hate > Threatening

4.15914E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

24

Gunning-Fog Score

19

Coleman-Liau Index

9.9

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

18

Jeff Sessions

In the 1994 Crime Law, Congress created a grant program to fund drug courts because we believed that they were a cost-effective, innovative way to deal with non-violent offenders in need of drug treatment.

Sentiment

Loughran McDonald (Relative)

-0.2

Slightly Negative

Loughran McDonald (Absolute)

-0.2

Slightly Negative

Loughran McDonald (Logit)

-0.33647

Harvard-IV (Relative)

-0.11111

Leans Negative

Harvard-IV (Absolute)

-0.11111

Leans Negative

Harvard-IV (Logit)

-0.20067

VADER

0.103

Leans Positive

Moderation

Harassment

0.0269883341

OpenAI Moderation v1 (007)

Violence

0.0074464639

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0030087429

OpenAI Moderation v1 (007)

Hate

0.0017563805

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011300388

OpenAI Moderation v1 (007)

Self-Harm

0.0010071914

OpenAI Moderation v1 (007)

Sexual

0.000753753

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007108909

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002697161

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.80171E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.75282E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

52.8

Gunning-Fog Score

18.8

Coleman-Liau Index

10.9

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

18

Jeff Sessions

And in the past six years, drug courts have taken off. There are currently 533 drug courts currently operating throughout the country, with an additional 293 courts being planned.

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

0.0041524487

OpenAI Moderation v1 (007)

Violence

0.0031223703

OpenAI Moderation v1 (007)

Harassment > Threatening

0.002764383

OpenAI Moderation v1 (007)

Violence > Graphic

0.0010994838

OpenAI Moderation v1 (007)

Sexual

0.0004800539

OpenAI Moderation v1 (007)

Self-Harm

0.0002777674

OpenAI Moderation v1 (007)

Hate

0.0002446969

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001600582

OpenAI Moderation v1 (007)

Sexual > Minors

6.25535E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.9943E-6

OpenAI Moderation v1 (007)

Hate > Threatening

4.9866E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.7

Flesch-Kincaid Ease

72.5

Gunning-Fog Score

11.3

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

8.7

Dale-Chall Readability Score

5.1

Sprache Readability Score

3.2

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

9

Jeff Sessions

Let me tell you why I am such an advocate for these courts -- drug courts are as much about fighting crime as they are about reducing illegal drugs.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-1

Very Negative

Harvard-IV (Absolute)

-1

Very Negative

Harvard-IV (Logit)

-2.19722

VADER

-0.863

Very Negative

Moderation

Violence

0.0243701768

OpenAI Moderation v1 (007)

Harassment

0.0174825182

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0051237763

OpenAI Moderation v1 (007)

Sexual

0.0038838294

OpenAI Moderation v1 (007)

Hate

0.0016231823

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015019048

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004961405

OpenAI Moderation v1 (007)

Self-Harm

0.0004446423

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002364949

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001067615

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.56171E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.9

Flesch-Kincaid Ease

66.6

Gunning-Fog Score

15.5

Coleman-Liau Index

8.8

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.3

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

7

Jeff Sessions

It is no secret that there is a strong link between drugs and crime.

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

-0.34

Somewhat Negative

Moderation

Violence

0.0147133193

OpenAI Moderation v1 (007)

Harassment

0.0038857223

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011432622

OpenAI Moderation v1 (007)

Sexual

0.0004368196

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003584035

OpenAI Moderation v1 (007)

Self-Harm

0.0002482636

OpenAI Moderation v1 (007)

Hate

8.56745E-5

OpenAI Moderation v1 (007)

Sexual > Minors

7.96532E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.99977E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.0305E-6

OpenAI Moderation v1 (007)

Hate > Threatening

5.3465E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.4

Flesch-Kincaid Ease

95.9

Gunning-Fog Score

5.6

Coleman-Liau Index

6.9

SMOG Index

3.3

Automated Readability Index

3.7

Dale-Chall Readability Score

4.1

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Jeff Sessions

As one of our witnesses today, Steven Belenko, well knows -- because he literally wrote the book on this at The National Center on Addiction and Substance Abuse at Columbia University -- 80 percent of those incarcerated today are there because of a crime associated with drug or alcohol abuse or addiction; either they have a history of substance abuse or addiction, they were high when they committed their crime, they violated drug or alcohol laws, or they stole property to buy drugs.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.70805

Harvard-IV (Relative)

-0.42857

Negative

Harvard-IV (Absolute)

-0.42857

Negative

Harvard-IV (Logit)

-0.8473

VADER

-0.967

Very Negative

Moderation

Violence

0.1518237055

OpenAI Moderation v1 (007)

Harassment

0.0995169394

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0410860259

OpenAI Moderation v1 (007)

Violence > Graphic

0.0218747897

OpenAI Moderation v1 (007)

Hate

0.0158433046

OpenAI Moderation v1 (007)

Sexual

0.0010896426

OpenAI Moderation v1 (007)

Self-Harm

0.0001850597

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001581872

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.48379E-5

OpenAI Moderation v1 (007)

Sexual > Minors

2.22746E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.766E-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

9.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

28

Sprache Difficult Word Count

24

Jeff Sessions

The most recent Arrestee Drug Use Monitoring Program (ADAM) data revealed that more than half of adult male arrestees in the 34 ADAM sites tested positive for drug use at the time of arrest.

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

0.296

Slightly Positive

Moderation

Sexual

0.2949818969

OpenAI Moderation v1 (007)

Sexual > Minors

0.0681789417

OpenAI Moderation v1 (007)

Harassment

0.0669147936

OpenAI Moderation v1 (007)

Violence

0.0372880051

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0250724988

OpenAI Moderation v1 (007)

Hate

0.0016750102

OpenAI Moderation v1 (007)

Violence > Graphic

0.0009842289

OpenAI Moderation v1 (007)

Self-Harm

0.0008380446

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002008874

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001315498

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.17258E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

45.4

Gunning-Fog Score

16

Coleman-Liau Index

10.5

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

14

Jeff Sessions

Drug courts take non-violent drug-related offenders and closely supervises them as they address the root of their criminal problem.

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

-0.823

Very Negative

Moderation

Violence

0.0063112515

OpenAI Moderation v1 (007)

Harassment > Threatening

0.004680669

OpenAI Moderation v1 (007)

Violence > Graphic

0.0021872929

OpenAI Moderation v1 (007)

Harassment

0.0010348806

OpenAI Moderation v1 (007)

Sexual

0.0008267589

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007821413

OpenAI Moderation v1 (007)

Hate

9.24225E-5

OpenAI Moderation v1 (007)

Self-Harm

4.7476E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.58429E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.7279E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.827E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44.5

Gunning-Fog Score

17.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.3

Sprache Readability Score

4.1

Dale-Chall Difficult Word Score

11

Sprache Difficult Word Count

11

Jeff Sessions

This task is made more difficult by the fact that the root problem is a chronic, relapsing condition -- addiction.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

-1

Very Negative

Harvard-IV (Absolute)

-1

Very Negative

Harvard-IV (Logit)

-2.3979

VADER

-0.667

Very Negative

Moderation

Violence

0.0457522809

OpenAI Moderation v1 (007)

Harassment

0.0217300214

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0117487645

OpenAI Moderation v1 (007)

Hate

0.0054600056

OpenAI Moderation v1 (007)

Sexual

0.0040220992

OpenAI Moderation v1 (007)

Self-Harm

0.0014760644

OpenAI Moderation v1 (007)

Violence > Graphic

0.0009350669

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002210644

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001698979

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.19197E-5

OpenAI Moderation v1 (007)

Sexual > Minors

9.1872E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.8

Flesch-Kincaid Ease

58.4

Gunning-Fog Score

16

Coleman-Liau Index

12

SMOG Index

12

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

Jeff Sessions

Let me let you in on a little secret -- if we just lock these folks up and don't treat them, they are going to commit crimes again and again and again. Treatment helps to break that escalating cycle of drug-related criminal behavior.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

-0.5

Very Negative

Harvard-IV (Absolute)

-0.5

Very Negative

Harvard-IV (Logit)

-0.95551

VADER

-0.025

Neutral

Moderation

Sexual

0.0362188963

OpenAI Moderation v1 (007)

Violence

0.0225074851

OpenAI Moderation v1 (007)

Harassment

0.0049096776

OpenAI Moderation v1 (007)

Hate

0.0022779046

OpenAI Moderation v1 (007)

Sexual > Minors

0.0022608572

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0019627707

OpenAI Moderation v1 (007)

Violence > Graphic

0.0018144952

OpenAI Moderation v1 (007)

Hate > Threatening

4.47506E-5

OpenAI Moderation v1 (007)

Self-Harm

4.40692E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.26304E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.574E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.5

Flesch-Kincaid Ease

65

Gunning-Fog Score

12.3

Coleman-Liau Index

9.4

SMOG Index

11.3

Automated Readability Index

9.5

Dale-Chall Readability Score

4.4

Sprache Readability Score

4.3

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

13

Jeff Sessions

To date, nearly 200,000 people have entered drug court programs and the results have been impressive. About 70 percent of the drug court program participants have either stayed in the program or completed it successfully. That is more than twice the retention rate of most traditional treatment 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)

2.19722

VADER

0.758

Very Positive

Moderation

Sexual

0.0501825358

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020268579

OpenAI Moderation v1 (007)

Violence

0.0020175779

OpenAI Moderation v1 (007)

Harassment

0.0017586703

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0011891452

OpenAI Moderation v1 (007)

Self-Harm

0.0005958002

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003024989

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002485465

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001777846

OpenAI Moderation v1 (007)

Hate

0.0001412762

OpenAI Moderation v1 (007)

Hate > Threatening

1.8116E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

64.2

Gunning-Fog Score

11.4

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

10.2

Dale-Chall Readability Score

6.3

Sprache Readability Score

4.1

Dale-Chall Difficult Word Score

17

Sprache Difficult Word Count

18

Jeff Sessions

The other 30 percent of the participants went to jail. And I think that should be heralded as a success of the drug court program as well.

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

0.7

Very Positive

Moderation

Self-Harm > Intent

2.9719866812

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.7092358321

OpenAI Moderation v1 (007)

Self-Harm

1.4055727981

OpenAI Moderation v1 (007)

Sexual > Minors

0.9466887452

OpenAI Moderation v1 (007)

Sexual

0.9119056165

OpenAI Moderation v1 (007)

Hate

0.657168217

OpenAI Moderation v1 (007)

Harassment

0.2249929123

OpenAI Moderation v1 (007)

Hate > Threatening

0.1445024158

OpenAI Moderation v1 (007)

Violence

0.1299033291

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0913551601

OpenAI Moderation v1 (007)

Violence > Graphic

0.0488815131

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5

Flesch-Kincaid Ease

83.5

Gunning-Fog Score

8.4

Coleman-Liau Index

7.7

SMOG Index

9

Automated Readability Index

4.2

Dale-Chall Readability Score

4.2

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

8

Jeff Sessions

Without drug courts, this 30 percent would have been unsupervised, not monitored, and unless they happened to be unlucky enough to use drugs or commit a crime near a cop, they would still be on the streets abusing drugs and committing crime. Drug courts provide the oversight to make sure that does not happen.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

-0.735

Very Negative

Moderation

Violence

0.0052451567

OpenAI Moderation v1 (007)

Sexual

0.0029667679

OpenAI Moderation v1 (007)

Harassment

0.0020306114

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006112504

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003292075

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002663429

OpenAI Moderation v1 (007)

Hate

8.82346E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.0041E-6

OpenAI Moderation v1 (007)

Self-Harm

3.0359E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.058E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.1E-9

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.3

Flesch-Kincaid Ease

61.9

Gunning-Fog Score

15.2

Coleman-Liau Index

11.3

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

18

Sprache Difficult Word Count

15

Jeff Sessions

Rather than just churning people through the revolving door of the criminal justice system, drug courts use a mix of sanction and incentives to help these folks to get their acts together so they won't be back.

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

0.612

Very Positive

Moderation

Violence

0.018587416

OpenAI Moderation v1 (007)

Violence > Graphic

0.0028494125

OpenAI Moderation v1 (007)

Harassment

0.0023794271

OpenAI Moderation v1 (007)

Sexual

0.0023566863

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0021559328

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004762064

OpenAI Moderation v1 (007)

Hate

0.0001536253

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.01777E-5

OpenAI Moderation v1 (007)

Self-Harm

5.77235E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.54079E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.55416E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

52.7

Gunning-Fog Score

19

Coleman-Liau Index

11.4

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

12

Jeff Sessions

When they graduate from drug court programs they are clean and sober and more prepared to participate in society.

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

0.595

Very Positive

Moderation

Sexual

0.0151451939

OpenAI Moderation v1 (007)

Sexual > Minors

0.0102293125

OpenAI Moderation v1 (007)

Violence

0.0077709468

OpenAI Moderation v1 (007)

Violence > Graphic

0.0043682976

OpenAI Moderation v1 (007)

Harassment

0.0040565053

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0021634214

OpenAI Moderation v1 (007)

Hate

0.0006563613

OpenAI Moderation v1 (007)

Self-Harm

9.36479E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.28008E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.9678E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.8293E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.8

Flesch-Kincaid Ease

58.4

Gunning-Fog Score

13.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

11.4

Dale-Chall Readability Score

6.8

Sprache Readability Score

3.6

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

8

Jeff Sessions

In order to graduate from most drug courts, participants are required to finish high school or obtain a GED, hold down a job, keep up with financial obligations including drug court fees and child support payments. They are also required to have a sponsor who will keep them on track.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.3979

VADER

0.402

Positive

Moderation

Violence > Graphic

0.0172785774

OpenAI Moderation v1 (007)

Violence

0.0082548075

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0048811027

OpenAI Moderation v1 (007)

Harassment

0.0030266538

OpenAI Moderation v1 (007)

Sexual

0.002343278

OpenAI Moderation v1 (007)

Sexual > Minors

0.000351275

OpenAI Moderation v1 (007)

Self-Harm

0.0001315391

OpenAI Moderation v1 (007)

Hate

7.67496E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.94337E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.7332E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.8197E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.9

Flesch-Kincaid Ease

61.3

Gunning-Fog Score

14

Coleman-Liau Index

11.3

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.7

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

14

Jeff Sessions

Drug courts work. And that is not just my opinion. Drug courts are effective at taking offenders with little previous treatment history and keeping them in treatment. Treatment experts agree that the longer someone stays in treatment, the more likely that person is to remain drug-free and to become a productive, tax-paying member of society.

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

0.477

Positive

Moderation

Harassment

0.0316178455

OpenAI Moderation v1 (007)

Violence

0.0133113892

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0113613794

OpenAI Moderation v1 (007)

Sexual > Minors

0.0092109061

OpenAI Moderation v1 (007)

Hate

0.0067076187

OpenAI Moderation v1 (007)

Sexual

0.0055313369

OpenAI Moderation v1 (007)

Violence > Graphic

0.003410564

OpenAI Moderation v1 (007)

Self-Harm

0.0024418856

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0010610324

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001657697

OpenAI Moderation v1 (007)

Hate > Threatening

0.000120326

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

60.3

Gunning-Fog Score

11.3

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

8.9

Dale-Chall Readability Score

5.4

Sprache Readability Score

4.2

Dale-Chall Difficult Word Score

17

Sprache Difficult Word Count

22

Jeff Sessions

That may be why drug courts are getting results.

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 > Threatening

0.0119210199

OpenAI Moderation v1 (007)

Violence

0.0063604319

OpenAI Moderation v1 (007)

Harassment

0.0060017825

OpenAI Moderation v1 (007)

Violence > Graphic

0.0029998813

OpenAI Moderation v1 (007)

Self-Harm

0.0021672478

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020054698

OpenAI Moderation v1 (007)

Sexual

0.0016353109

OpenAI Moderation v1 (007)

Hate

0.0005254258

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005176307

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.02129E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.36622E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

94.3

Gunning-Fog Score

3.6

Coleman-Liau Index

9.7

SMOG Index

3.3

Automated Readability Index

3.5

Dale-Chall Readability Score

4

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

4

Jeff Sessions

Drug courts reduce recidivism. Though post-program recidivism rates vary between drug courts, consider the impact of the Jefferson County, Kentucky drug court: Thirteen percent of the graduates of that program were reconvicted for a felony, compared to 60 percent of non-graduates and 55 percent of the comparison group.

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)

2.19722

VADER

-0.542

Very Negative

Moderation

Sexual

0.0152941633

OpenAI Moderation v1 (007)

Violence

0.0091161754

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0049776299

OpenAI Moderation v1 (007)

Sexual > Minors

0.0042952768

OpenAI Moderation v1 (007)

Hate

0.0022727965

OpenAI Moderation v1 (007)

Harassment

0.0014927359

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004756286

OpenAI Moderation v1 (007)

Self-Harm

0.0004187854

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003480817

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.11839E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.4149E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

35.9

Gunning-Fog Score

16.4

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

23

Sprache Difficult Word Count

21

Jeff Sessions

Drug courts also reduce future drug use. An average of ten percent of drug court participants have positive drug tests compared to 31 percent of those on probation.

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

0.557

Very Positive

Moderation

Sexual

0.0234086037

OpenAI Moderation v1 (007)

Violence

0.008639742

OpenAI Moderation v1 (007)

Hate

0.0035623387

OpenAI Moderation v1 (007)

Harassment

0.0031020252

OpenAI Moderation v1 (007)

Violence > Graphic

0.0030327996

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015409689

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007187248

OpenAI Moderation v1 (007)

Self-Harm

0.0001148447

OpenAI Moderation v1 (007)

Hate > Threatening

9.58099E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.84762E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.72457E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

65.7

Gunning-Fog Score

11.3

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

7.9

Dale-Chall Readability Score

8

Sprache Readability Score

3.3

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

11

Jeff Sessions

And drug courts are cost-effective. According to a study of the Portland, Oregon drug court, for every $1 spent on the drug court, $2.50 is saved in avoided costs such as criminal justice costs, public assistance and medical claims. If you factor in larger costs -- such as victimization and theft -- there is a savings of $10 for every tax dollar spent on drug courts. Just as important, scarce prison beds are freed up for violent criminals.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.29928

Harvard-IV (Relative)

-0.33333

Somewhat Negative

Harvard-IV (Absolute)

-0.33333

Somewhat Negative

Harvard-IV (Logit)

-0.65393

VADER

-0.883

Very Negative

Moderation

Violence

0.0248373311

OpenAI Moderation v1 (007)

Harassment

0.0107147578

OpenAI Moderation v1 (007)

Violence > Graphic

0.005978077

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0050676412

OpenAI Moderation v1 (007)

Hate

0.0044339256

OpenAI Moderation v1 (007)

Sexual

0.003020262

OpenAI Moderation v1 (007)

Hate > Threatening

0.0006094855

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001313268

OpenAI Moderation v1 (007)

Self-Harm

9.14715E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.1291E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.4061E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.9

Flesch-Kincaid Ease

65.3

Gunning-Fog Score

13.9

Coleman-Liau Index

10.3

SMOG Index

12

Automated Readability Index

9.1

Dale-Chall Readability Score

5.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

23

Sprache Difficult Word Count

27

Jeff Sessions

Harder to quantify is what I believe may be the most important impact of drug courts. Nearly two-thirds of drug court participants are parents of young children. After getting sober through the coerced treatment mandated by the court, many of these individuals are able to be real parents again. And more than 1,000 drug-free babies have been born to female drug court participants, a sizable victory for society and the budget alike.

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)

0.58779

VADER

-0.112

Leans Negative

Moderation

Violence

0.0528868637

OpenAI Moderation v1 (007)

Harassment

0.0523290422

OpenAI Moderation v1 (007)

Sexual

0.0229927231

OpenAI Moderation v1 (007)

Violence > Graphic

0.011819986

OpenAI Moderation v1 (007)

Hate

0.0088756591

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0051381372

OpenAI Moderation v1 (007)

Sexual > Minors

0.0014244189

OpenAI Moderation v1 (007)

Self-Harm

0.0008368299

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001533774

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001380358

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.88445E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.7

Flesch-Kincaid Ease

59.2

Gunning-Fog Score

12.3

Coleman-Liau Index

11.7

SMOG Index

11.8

Automated Readability Index

9.9

Dale-Chall Readability Score

4.7

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

18

Sprache Difficult Word Count

20

Jeff Sessions

Mr. Chairman, new innovative and effective programs like drug courts don't come along often. When they do, we should make sure that we do everything possible to make sure that they continue to succeed. I look forward to hearing from our witnesses today about how they think we can do that.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.94591

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.94444

VADER

0.936

Very Positive

Moderation

Harassment

0.3723758273

OpenAI Moderation v1 (007)

Hate

0.1554888906

OpenAI Moderation v1 (007)

Violence

0.1531397575

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0450648193

OpenAI Moderation v1 (007)

Sexual

0.0331522839

OpenAI Moderation v1 (007)

Violence > Graphic

0.0150842592

OpenAI Moderation v1 (007)

Hate > Threatening

0.0091324371

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020243024

OpenAI Moderation v1 (007)

Self-Harm

0.0009022958

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007113705

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005874035

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.3

Flesch-Kincaid Ease

72.8

Gunning-Fog Score

9

Coleman-Liau Index

11

SMOG Index

9.7

Automated Readability Index

6.4

Dale-Chall Readability Score

3.4

Sprache Readability Score

3.2

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

12

Jeff Sessions

I am inclined to think we probably should go before the next panel.

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

0.0601816166

OpenAI Moderation v1 (007)

Violence > Graphic

0.0406171195

OpenAI Moderation v1 (007)

Harassment

0.0326826557

OpenAI Moderation v1 (007)

Sexual

0.0150900712

OpenAI Moderation v1 (007)

Sexual > Minors

0.0076816352

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0059433296

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007694672

OpenAI Moderation v1 (007)

Self-Harm

0.0005756264

OpenAI Moderation v1 (007)

Hate

0.0004875541

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.19567E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.3883E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.8

Flesch-Kincaid Ease

76.5

Gunning-Fog Score

8.3

Coleman-Liau Index

8.6

SMOG Index

9

Automated Readability Index

4.6

Dale-Chall Readability Score

4.3

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

2

Jeff Sessions

Thank you, Ms. Leary. Thank you for the work you have done since you have been in this position. We will have some questions when we get back, and then we will take the second panel. We do have a vote, and it will probably take us 10 minutes to get back.

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

Harassment > Threatening

0.0380481273

OpenAI Moderation v1 (007)

Violence

0.0181846553

OpenAI Moderation v1 (007)

Harassment

0.009903952

OpenAI Moderation v1 (007)

Violence > Graphic

0.0071541028

OpenAI Moderation v1 (007)

Sexual

0.0064693362

OpenAI Moderation v1 (007)

Sexual > Minors

0.0061519466

OpenAI Moderation v1 (007)

Self-Harm

0.0016179865

OpenAI Moderation v1 (007)

Hate

0.0007452913

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007110083

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.54796E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.20437E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

97

Gunning-Fog Score

6.5

Coleman-Liau Index

6

SMOG Index

7.7

Automated Readability Index

1.3

Dale-Chall Readability Score

2.3

Sprache Readability Score

2.3

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

5

Jeff Sessions

Thank you.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.361

Somewhat Positive

Moderation

Violence > Graphic

0.0561826164

OpenAI Moderation v1 (007)

Violence

0.010812367

OpenAI Moderation v1 (007)

Sexual

0.0012881734

OpenAI Moderation v1 (007)

Harassment

0.001078106

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007462494

OpenAI Moderation v1 (007)

Sexual > Minors

0.000565459

OpenAI Moderation v1 (007)

Self-Harm

0.0002827703

OpenAI Moderation v1 (007)

Hate

0.0002489177

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002481524

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.1166E-6

OpenAI Moderation v1 (007)

Hate > Threatening

3.4708E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

7.6

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

Note

[Recess.]

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

0.1270567998

OpenAI Moderation v1 (007)

Violence > Graphic

0.0745096477

OpenAI Moderation v1 (007)

Violence

0.0438812247

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0058110112

OpenAI Moderation v1 (007)

Hate

0.0052505067

OpenAI Moderation v1 (007)

Sexual

0.0027506587

OpenAI Moderation v1 (007)

Self-Harm

0.0004443853

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003948642

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001027125

OpenAI Moderation v1 (007)

Sexual > Minors

9.1825E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.72332E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

Flesch-Kincaid Ease

Gunning-Fog Score

Coleman-Liau Index

SMOG Index

Automated Readability Index

Dale-Chall Readability Score

Sprache Readability Score

Dale-Chall Difficult Word Score

Sprache Difficult Word Count

Jeff Sessions

OK. We will get started again. Senator Biden will join us in a minute.

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

0.629

Very Positive

Moderation

Violence > Graphic

0.0157719347

OpenAI Moderation v1 (007)

Violence

0.013326286

OpenAI Moderation v1 (007)

Harassment

0.0103798469

OpenAI Moderation v1 (007)

Sexual

0.0070781949

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0068229878

OpenAI Moderation v1 (007)

Sexual > Minors

0.002836621

OpenAI Moderation v1 (007)

Self-Harm

0.000460582

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000355105

OpenAI Moderation v1 (007)

Hate

0.0002665848

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.61821E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.8721E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.1

Flesch-Kincaid Ease

81.2

Gunning-Fog Score

4.7

Coleman-Liau Index

6.9

SMOG Index

6.6

Automated Readability Index

0

Dale-Chall Readability Score

5.9

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

4

Jeff Sessions

Ms. Leary, thank you for your comments and observations. Our goal fundamentally today and what we will do as we go along is to ask you, as you have taken over this office to make sure that you know and your staff knows precisely what is going on, precisely what our research shows, what is working, how much money is being spent, and how much money is being planned to be spent.

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

0.586

Very Positive

Moderation

Harassment

0.2595624421

OpenAI Moderation v1 (007)

Violence

0.0614625693

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0562859001

OpenAI Moderation v1 (007)

Violence > Graphic

0.0151776927

OpenAI Moderation v1 (007)

Hate

0.0084717678

OpenAI Moderation v1 (007)

Self-Harm

0.0069627262

OpenAI Moderation v1 (007)

Sexual > Minors

0.0047289675

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0018077522

OpenAI Moderation v1 (007)

Sexual

0.0011899338

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005933716

OpenAI Moderation v1 (007)

Hate > Threatening

2.07814E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.5

Flesch-Kincaid Ease

69.7

Gunning-Fog Score

11.8

Coleman-Liau Index

8.6

SMOG Index

9.9

Automated Readability Index

10.1

Dale-Chall Readability Score

3.6

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

11

Sprache Difficult Word Count

15

Jeff Sessions

On the OJP funding for drug courts, both the discretionary and block grant formula amounts, how much is now going to drug courts? We have a chart up here. Can you tell us if that chart accurately summarizes where we are and what additional information you need to give an accurate answer to that question?

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

-0.193

Leans Negative

Moderation

Sexual

0.026286763

OpenAI Moderation v1 (007)

Violence

0.0122705125

OpenAI Moderation v1 (007)

Self-Harm

0.0046073365

OpenAI Moderation v1 (007)

Violence > Graphic

0.0027930386

OpenAI Moderation v1 (007)

Harassment

0.0025585807

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0024693734

OpenAI Moderation v1 (007)

Hate

0.000993389

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007308442

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002133886

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000143934

OpenAI Moderation v1 (007)

Hate > Threatening

2.49178E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.5

Flesch-Kincaid Ease

66.7

Gunning-Fog Score

12.4

Coleman-Liau Index

10.5

SMOG Index

12

Automated Readability Index

8.8

Dale-Chall Readability Score

4.6

Sprache Readability Score

4.2

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

16

Mary Leary

I can tell you we tried to figure out for fiscal year 1999 how much money went to drug courts, because as you know, it comes from multiple sources, and so with respect to OJP funds, it is approximately $55 million that went to drug courts during fiscal year 1999.

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

0.0117608928

OpenAI Moderation v1 (007)

Violence

0.0088813234

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0023437944

OpenAI Moderation v1 (007)

Violence > Graphic

0.0021714186

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020130117

OpenAI Moderation v1 (007)

Sexual

0.0018762372

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0012185468

OpenAI Moderation v1 (007)

Hate

0.0011139846

OpenAI Moderation v1 (007)

Self-Harm

0.0001960814

OpenAI Moderation v1 (007)

Hate > Threatening

6.03203E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.56146E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

49.5

Gunning-Fog Score

19

Coleman-Liau Index

7.5

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

11

Jeff Sessions

Now let me ask you: You have an account in OJP for drug courts and a division, and what is the name of that division?

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

Neutral

Moderation

Violence

0.0712316018

OpenAI Moderation v1 (007)

Violence > Graphic

0.0426391169

OpenAI Moderation v1 (007)

Harassment

0.0133642068

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0123434947

OpenAI Moderation v1 (007)

Self-Harm

0.0090340494

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0011376892

OpenAI Moderation v1 (007)

Sexual

0.0009280972

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004827009

OpenAI Moderation v1 (007)

Hate

0.000141347

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001348554

OpenAI Moderation v1 (007)

Hate > Threatening

5.8348E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.3

Flesch-Kincaid Ease

79.9

Gunning-Fog Score

13.2

Coleman-Liau Index

5.4

SMOG Index

11.3

Automated Readability Index

8

Dale-Chall Readability Score

3.8

Sprache Readability Score

4.1

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

5

Mary Leary

Well, we have the Drug Court Program Office.

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

0.1330423169

OpenAI Moderation v1 (007)

Violence

0.0241512389

OpenAI Moderation v1 (007)

Hate

0.014889882

OpenAI Moderation v1 (007)

Harassment > Threatening

0.00784851

OpenAI Moderation v1 (007)

Violence > Graphic

0.0052806292

OpenAI Moderation v1 (007)

Sexual

0.0035932775

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015547041

OpenAI Moderation v1 (007)

Hate > Threatening

0.0004490974

OpenAI Moderation v1 (007)

Self-Harm

0.0002069634

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.85243E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.56679E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

93

Gunning-Fog Score

3.2

Coleman-Liau Index

9.9

SMOG Index

3.3

Automated Readability Index

3.2

Dale-Chall Readability Score

4.3

Sprache Readability Score

2

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

4

Jeff Sessions

Drug Court Program Office that reports directly to you?

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

Hate

0.0214000349

OpenAI Moderation v1 (007)

Harassment

0.0162014912

OpenAI Moderation v1 (007)

Sexual

0.0161776406

OpenAI Moderation v1 (007)

Violence

0.0038210561

OpenAI Moderation v1 (007)

Self-Harm

0.0022140739

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013058709

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0010217369

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003668412

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000308521

OpenAI Moderation v1 (007)

Sexual > Minors

0.000255226

OpenAI Moderation v1 (007)

Hate > Threatening

9.23371E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.3

Flesch-Kincaid Ease

66.1

Gunning-Fog Score

8

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

7.1

Dale-Chall Readability Score

5.7

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Mary Leary

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

0.0185396784

OpenAI Moderation v1 (007)

Sexual

0.0085722182

OpenAI Moderation v1 (007)

Harassment

0.0055194814

OpenAI Moderation v1 (007)

Hate

0.00345646

OpenAI Moderation v1 (007)

Violence > Graphic

0.0033498862

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013700261

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010601423

OpenAI Moderation v1 (007)

Hate > Threatening

0.0004692001

OpenAI Moderation v1 (007)

Self-Harm

0.0001481285

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.3366E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.3841E-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

Jeff Sessions

And that has a budget of $50 million?

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

0.0095935589

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0044105916

OpenAI Moderation v1 (007)

Sexual

0.0030525451

OpenAI Moderation v1 (007)

Harassment

0.0019950583

OpenAI Moderation v1 (007)

Hate

0.0004296862

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003860701

OpenAI Moderation v1 (007)

Violence > Graphic

0.00028563

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001959965

OpenAI Moderation v1 (007)

Self-Harm

0.0001263607

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.42472E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.1994E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

93

Gunning-Fog Score

8.2

Coleman-Liau Index

3.3

SMOG Index

9

Automated Readability Index

0

Dale-Chall Readability Score

2.4

Sprache Readability Score

1.8

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

No. No. That has $40 million.

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

-0.527

Very Negative

Moderation

Violence

0.0240725945

OpenAI Moderation v1 (007)

Harassment

0.0036215628

OpenAI Moderation v1 (007)

Hate

0.0029867868

OpenAI Moderation v1 (007)

Sexual

0.0021662025

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020314152

OpenAI Moderation v1 (007)

Sexual > Minors

0.0014087293

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0013378676

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001214916

OpenAI Moderation v1 (007)

Self-Harm

9.4568E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.14713E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.16712E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

7.5

Coleman-Liau Index

1.7

SMOG Index

6.6

Automated Readability Index

0

Dale-Chall Readability Score

0.1

Sprache Readability Score

1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Jeff Sessions

Forty million.

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

0.0144324935

OpenAI Moderation v1 (007)

Sexual

0.002351052

OpenAI Moderation v1 (007)

Harassment

0.0018062703

OpenAI Moderation v1 (007)

Violence > Graphic

0.001601658

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005311982

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004160752

OpenAI Moderation v1 (007)

Self-Harm

3.54409E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.22123E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.2126E-6

OpenAI Moderation v1 (007)

Hate

5.8733E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.03E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

0

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

7.8

Dale-Chall Readability Score

0.1

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

2

Mary Leary

Now, in addition to the Drug Courts Program Office, there are several other funding streams coming through OJP that go to drug courts: the Byrne Formula Grant, the Local Law Enforcement Block Grant, Byrne Discretionary. Some Weed and Seed funds go to drug courts, and the Juvenile Accountability Incentive Block Grant. Moneys from each one of those funding streams can and actually does go to drug courts as well.

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

0.649

Very Positive

Moderation

Hate

0.0233707382

OpenAI Moderation v1 (007)

Sexual

0.0185620534

OpenAI Moderation v1 (007)

Violence

0.0138892559

OpenAI Moderation v1 (007)

Harassment

0.0091824208

OpenAI Moderation v1 (007)

Violence > Graphic

0.0052465424

OpenAI Moderation v1 (007)

Sexual > Minors

0.0028305896

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0016245311

OpenAI Moderation v1 (007)

Hate > Threatening

0.0010562087

OpenAI Moderation v1 (007)

Self-Harm

0.0007650024

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003716836

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.31833E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.7

Flesch-Kincaid Ease

59.7

Gunning-Fog Score

10.9

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

Jeff Sessions

Does that make sense to you? Should it all be funneled through the Drug Court Program Office?

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

0.118

Leans Positive

Moderation

Sexual

0.0315935613

OpenAI Moderation v1 (007)

Harassment

0.0108518027

OpenAI Moderation v1 (007)

Violence

0.0049610768

OpenAI Moderation v1 (007)

Hate

0.0036593065

OpenAI Moderation v1 (007)

Violence > Graphic

0.0024229454

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0015137691

OpenAI Moderation v1 (007)

Self-Harm

0.000975449

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008899563

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004317437

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.31786E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.8735E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

93.7

Gunning-Fog Score

3.4

Coleman-Liau Index

10.2

SMOG Index

3.3

Automated Readability Index

3.6

Dale-Chall Readability Score

3.2

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Mary Leary

Well, one of our goals with reorganization, as you noticed, is to kind of streamline things and make a little bit more sense.

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

0.273

Slightly Positive

Moderation

Sexual

0.0223153649

OpenAI Moderation v1 (007)

Harassment

0.0192109335

OpenAI Moderation v1 (007)

Violence

0.0156218128

OpenAI Moderation v1 (007)

Sexual > Minors

0.0042105716

OpenAI Moderation v1 (007)

Hate

0.004067448

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0019741241

OpenAI Moderation v1 (007)

Violence > Graphic

0.0010550702

OpenAI Moderation v1 (007)

Self-Harm

0.0010492793

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005543095

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003351925

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001151694

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.8

Flesch-Kincaid Ease

65.8

Gunning-Fog Score

10.9

Coleman-Liau Index

9.5

SMOG Index

9

Automated Readability Index

10.3

Dale-Chall Readability Score

3.2

Sprache Readability Score

3.9

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

5

Jeff Sessions

You are talking about more than 20-25 percent funding through your own Department of Justice. It is not under the program office.

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

0.527

Very Positive

Moderation

Sexual

0.0278752908

OpenAI Moderation v1 (007)

Violence > Graphic

0.0202892144

OpenAI Moderation v1 (007)

Violence

0.0120678298

OpenAI Moderation v1 (007)

Hate

0.0051934432

OpenAI Moderation v1 (007)

Harassment

0.0038372767

OpenAI Moderation v1 (007)

Self-Harm

0.0016105769

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010769315

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009471959

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004634102

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001427673

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001420893

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.8

Flesch-Kincaid Ease

81.1

Gunning-Fog Score

4.6

Coleman-Liau Index

10

SMOG Index

7.3

Automated Readability Index

5

Dale-Chall Readability Score

4.7

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

7

Mary Leary

Yes. And these are statutorily prescribed. You know, you have purposes, permissible purposes for each of these other grant programs, and drug courts would be one of the permissible purposes, but in addition, we shouldn't forget that a lot of money comes to drug courts from States, localities, private foundations, and the like. So even when you look at the Federal funding, that doesn't reflect the total.

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

0.739

Very Positive

Moderation

Violence

0.0190082646

OpenAI Moderation v1 (007)

Violence > Graphic

0.0089009263

OpenAI Moderation v1 (007)

Harassment

0.0020231462

OpenAI Moderation v1 (007)

Sexual

0.0011603248

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000738495

OpenAI Moderation v1 (007)

Hate

0.0003058012

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001733369

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001598258

OpenAI Moderation v1 (007)

Self-Harm

8.5094E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.3251E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.0749E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.1

Flesch-Kincaid Ease

59.8

Gunning-Fog Score

12.1

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

9.8

Dale-Chall Readability Score

5.3

Sprache Readability Score

4.2

Dale-Chall Difficult Word Score

19

Sprache Difficult Word Count

19

Jeff Sessions

Now, the Byrne Grant goes to the State, and the State can then use it for drug court funding. Is that why you do not have accurate numbers, or it is difficult to have accurate numbers?

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.5

Positive

Harvard-IV (Absolute)

0.5

Positive

Harvard-IV (Logit)

0.8473

VADER

0

Neutral

Moderation

Violence

0.01026303

OpenAI Moderation v1 (007)

Harassment

0.0062683954

OpenAI Moderation v1 (007)

Sexual

0.0045352219

OpenAI Moderation v1 (007)

Sexual > Minors

0.0043765493

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0031739564

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020080684

OpenAI Moderation v1 (007)

Hate

0.0003380029

OpenAI Moderation v1 (007)

Self-Harm

6.52447E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.44417E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.12751E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.5113E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.2

Flesch-Kincaid Ease

82.8

Gunning-Fog Score

10.5

Coleman-Liau Index

7.7

SMOG Index

10.3

Automated Readability Index

6.4

Dale-Chall Readability Score

4

Sprache Readability Score

3.5

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

8

Mary Leary

It is difficult to have accurate 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

-0.361

Somewhat Negative

Moderation

Violence

0.0057011825

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0048314763

OpenAI Moderation v1 (007)

Violence > Graphic

0.0022801105

OpenAI Moderation v1 (007)

Harassment

0.0018958746

OpenAI Moderation v1 (007)

Sexual

0.0018614661

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006011756

OpenAI Moderation v1 (007)

Self-Harm

0.0002628839

OpenAI Moderation v1 (007)

Hate

0.0002556314

OpenAI Moderation v1 (007)

Hate > Threatening

3.04546E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.01184E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.69865E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.4

Flesch-Kincaid Ease

54.7

Gunning-Fog Score

14.2

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

4.9

Dale-Chall Readability Score

4.9

Sprache Readability Score

1.7

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Jeff Sessions

But you think that the number is $57 million for fiscal year 1999. Are there any other funding streams out there other than State moneys and local moneys from the Federal Government that could be going to drug courts?

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.077

Neutral

Moderation

Harassment

0.1191282179

OpenAI Moderation v1 (007)

Violence

0.0263473834

OpenAI Moderation v1 (007)

Sexual

0.0070184498

OpenAI Moderation v1 (007)

Hate

0.0062206847

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0016301305

OpenAI Moderation v1 (007)

Violence > Graphic

0.000838773

OpenAI Moderation v1 (007)

Sexual > Minors

0.000238264

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001341216

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.42693E-5

OpenAI Moderation v1 (007)

Self-Harm

5.51055E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.97347E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.7

Flesch-Kincaid Ease

74.2

Gunning-Fog Score

8.8

Coleman-Liau Index

9.9

SMOG Index

10.3

Automated Readability Index

8.9

Dale-Chall Readability Score

3

Sprache Readability Score

3.9

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

11

Mary Leary

Well, HHS provides money for treatment, and you know the drug courts rely very heavily on HHS funds for that. So, yes, there are Federal funds.

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

0.62

Very Positive

Moderation

Violence

0.0108578475

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0030277737

OpenAI Moderation v1 (007)

Sexual

0.0020359903

OpenAI Moderation v1 (007)

Violence > Graphic

0.0016320142

OpenAI Moderation v1 (007)

Harassment

0.0008186652

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004076317

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.18692E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.53763E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.24956E-5

OpenAI Moderation v1 (007)

Hate

5.88622E-5

OpenAI Moderation v1 (007)

Self-Harm

3.34981E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.4

Flesch-Kincaid Ease

79.8

Gunning-Fog Score

6.7

Coleman-Liau Index

9.5

SMOG Index

9

Automated Readability Index

5.4

Dale-Chall Readability Score

6.7

Sprache Readability Score

3

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

9

Jeff Sessions

And now that is not included in that $57 million, to your knowledge?

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0

Neutral

Moderation

Sexual

0.0198457827

OpenAI Moderation v1 (007)

Violence

0.0182153017

OpenAI Moderation v1 (007)

Violence > Graphic

0.014628323

OpenAI Moderation v1 (007)

Hate

0.013862687

OpenAI Moderation v1 (007)

Harassment

0.0036969497

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0030992516

OpenAI Moderation v1 (007)

Sexual > Minors

0.0021147989

OpenAI Moderation v1 (007)

Hate > Threatening

0.0018545663

OpenAI Moderation v1 (007)

Self-Harm

0.0007522671

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.0997E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.02579E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.9

Flesch-Kincaid Ease

83

Gunning-Fog Score

11.4

Coleman-Liau Index

7.3

SMOG Index

11.3

Automated Readability Index

3.5

Dale-Chall Readability Score

3.1

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

3

Mary Leary

I don't know since I don't really know how that chart was put together. I would say it appears not to.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.60944

VADER

0

Neutral

Moderation

Sexual

0.1094046631

OpenAI Moderation v1 (007)

Hate

0.0393689465

OpenAI Moderation v1 (007)

Harassment

0.0197515459

OpenAI Moderation v1 (007)

Violence

0.0082343271

OpenAI Moderation v1 (007)

Sexual > Minors

0.0031066582

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025823952

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001024591

OpenAI Moderation v1 (007)

Self-Harm

6.79911E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.72477E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.38664E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.10905E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.1

Flesch-Kincaid Ease

91.4

Gunning-Fog Score

8

Coleman-Liau Index

6

SMOG Index

9

Automated Readability Index

1.3

Dale-Chall Readability Score

0.5

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

2

Jeff Sessions

Do you have the numbers available of what amount HHS is putting into drug courts?

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0

Neutral

Moderation

Violence

0.1352322637

OpenAI Moderation v1 (007)

Violence > Graphic

0.023685128

OpenAI Moderation v1 (007)

Harassment

0.0231362807

OpenAI Moderation v1 (007)

Sexual > Minors

0.00752833

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0057504061

OpenAI Moderation v1 (007)

Hate

0.004932109

OpenAI Moderation v1 (007)

Sexual

0.003870179

OpenAI Moderation v1 (007)

Hate > Threatening

0.0008321632

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001189665

OpenAI Moderation v1 (007)

Self-Harm

4.35783E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.23211E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

67.5

Gunning-Fog Score

8.7

Coleman-Liau Index

10.1

SMOG Index

9

Automated Readability Index

6.8

Dale-Chall Readability Score

3.9

Sprache Readability Score

3

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Mary Leary

No, we don't, but we can work with your staff to help identify some folks who could help get that number.

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

0.788

Very Positive

Moderation

Sexual

0.1944102813

OpenAI Moderation v1 (007)

Sexual > Minors

0.0828583899

OpenAI Moderation v1 (007)

Violence > Graphic

0.0561380875

OpenAI Moderation v1 (007)

Violence

0.0439724507

OpenAI Moderation v1 (007)

Harassment

0.0066015054

OpenAI Moderation v1 (007)

Hate

0.0050972692

OpenAI Moderation v1 (007)

Self-Harm

0.0028868624

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0018387605

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0012327519

OpenAI Moderation v1 (007)

Hate > Threatening

0.0012062713

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0009953435

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.6

Flesch-Kincaid Ease

84.8

Gunning-Fog Score

10.3

Coleman-Liau Index

6.9

SMOG Index

9

Automated Readability Index

7.2

Dale-Chall Readability Score

2.5

Sprache Readability Score

3.4

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

3

Jeff Sessions

Can you get it from them, or does it take me to get it from them?

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

Neutral

Moderation

Violence

0.0719018164

OpenAI Moderation v1 (007)

Harassment

0.0336406025

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0267738476

OpenAI Moderation v1 (007)

Violence > Graphic

0.0201266725

OpenAI Moderation v1 (007)

Hate

0.0055442913

OpenAI Moderation v1 (007)

Hate > Threatening

0.0027488542

OpenAI Moderation v1 (007)

Sexual

0.0013305615

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002402408

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001536163

OpenAI Moderation v1 (007)

Self-Harm

6.13912E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.89943E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.5

Flesch-Kincaid Ease

100

Gunning-Fog Score

6.4

Coleman-Liau Index

1.9

SMOG Index

3.3

Automated Readability Index

0.7

Dale-Chall Readability Score

0.8

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Mary Leary

We will do everything we can, Senator.

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

0.4823221359

OpenAI Moderation v1 (007)

Hate

0.1163166948

OpenAI Moderation v1 (007)

Sexual

0.0642894709

OpenAI Moderation v1 (007)

Sexual > Minors

0.0632108888

OpenAI Moderation v1 (007)

Violence

0.0266299583

OpenAI Moderation v1 (007)

Violence > Graphic

0.0081644881

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0039790004

OpenAI Moderation v1 (007)

Hate > Threatening

0.0014352141

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003512251

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002090905

OpenAI Moderation v1 (007)

Self-Harm

0.0001135742

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.4

Flesch-Kincaid Ease

54.7

Gunning-Fog Score

8.5

Coleman-Liau Index

9.4

SMOG Index

11.3

Automated Readability Index

2.3

Dale-Chall Readability Score

2.6

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

We need to know 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

Sexual

0.0294885976

OpenAI Moderation v1 (007)

Violence

0.0079069476

OpenAI Moderation v1 (007)

Harassment

0.0049067807

OpenAI Moderation v1 (007)

Hate

0.0034525761

OpenAI Moderation v1 (007)

Sexual > Minors

0.0019977009

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015311687

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0010398765

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005634817

OpenAI Moderation v1 (007)

Self-Harm

0.0004930721

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004031278

OpenAI Moderation v1 (007)

Hate > Threatening

7.24918E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2

Coleman-Liau Index

3

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

Mary Leary

Sure.

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 Positive

Moderation

Hate

0.0180671661

OpenAI Moderation v1 (007)

Sexual

0.0151805449

OpenAI Moderation v1 (007)

Violence

0.0104034414

OpenAI Moderation v1 (007)

Sexual > Minors

0.005903394

OpenAI Moderation v1 (007)

Harassment

0.0037726677

OpenAI Moderation v1 (007)

Self-Harm

0.0011607807

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000870963

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004040813

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003306376

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003045907

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001001751

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

7.5

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

Jeff Sessions

You need to know 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

Sexual

0.0978363096

OpenAI Moderation v1 (007)

Violence

0.0246386684

OpenAI Moderation v1 (007)

Hate

0.0076072436

OpenAI Moderation v1 (007)

Violence > Graphic

0.0052049316

OpenAI Moderation v1 (007)

Harassment

0.0035229332

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0014936388

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012791217

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0012467252

OpenAI Moderation v1 (007)

Hate > Threatening

0.0008615577

OpenAI Moderation v1 (007)

Self-Harm

0.0007409343

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006642337

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2

Coleman-Liau Index

4.2

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.2

Sprache Readability Score

1.3

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Mary Leary

We do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Harassment

0.0854101847

OpenAI Moderation v1 (007)

Violence

0.02778052

OpenAI Moderation v1 (007)

Violence > Graphic

0.0190517923

OpenAI Moderation v1 (007)

Hate

0.0095207412

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0036678801

OpenAI Moderation v1 (007)

Sexual

0.0029617899

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001812373

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001063815

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.56566E-5

OpenAI Moderation v1 (007)

Self-Harm

6.93427E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.01248E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

Jeff Sessions

The taxpayers need to know what we are spending.

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

0.0274832768

OpenAI Moderation v1 (007)

Harassment

0.0216140164

OpenAI Moderation v1 (007)

Violence > Graphic

0.0053198364

OpenAI Moderation v1 (007)

Sexual

0.0014027316

OpenAI Moderation v1 (007)

Self-Harm

0.0011470484

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0009156128

OpenAI Moderation v1 (007)

Hate

0.000438661

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003153249

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002976518

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002083216

OpenAI Moderation v1 (007)

Hate > Threatening

3.18327E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.7

Flesch-Kincaid Ease

84.9

Gunning-Fog Score

8

Coleman-Liau Index

9.7

SMOG Index

9

Automated Readability Index

3.5

Dale-Chall Readability Score

4

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Jeff Sessions

Now, basically would you describe how this thing works? If a city applies or a jurisdiction applies for a drug court, and the Federal Government gives a grant, about what percentage of the cost are they funding in that initial grant, and what is your vision about continued funding of the drug court?

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

0.748

Very Positive

Moderation

Violence

0.0669063826

OpenAI Moderation v1 (007)

Violence > Graphic

0.0100577723

OpenAI Moderation v1 (007)

Harassment

0.0067011679

OpenAI Moderation v1 (007)

Hate

0.0032455489

OpenAI Moderation v1 (007)

Hate > Threatening

0.0024999799

OpenAI Moderation v1 (007)

Sexual

0.0019347051

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012304508

OpenAI Moderation v1 (007)

Sexual > Minors

9.9835E-5

OpenAI Moderation v1 (007)

Self-Harm

6.24358E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.14362E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.25788E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

55.4

Gunning-Fog Score

14.4

Coleman-Liau Index

11.1

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

15

Sprache Difficult Word Count

15

Mary Leary

Well, when a community initially wants to do a drug court, what we do first is, instead of giving them a grant, we bring them on board for a year of a training program. So we will bring them to any one of a number of sites throughout the country. They come with a whole team from their jurisdiction which would, you know, include an evaluator or a management information systems person, and they attend a total of, I think it is about 9 days of training over the course of that year to understand what drug court is all about, what are the various models here, the cost/benefit analysis, and the like. And so before we give them money to set up a drug court, we do that. They would need to make sure that they know what they are getting into.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.60944

Harvard-IV (Relative)

0.66667

Very Positive

Harvard-IV (Absolute)

0.66667

Very Positive

Harvard-IV (Logit)

1.48808

VADER

0.878

Very Positive

Moderation

Violence

0.0079845893

OpenAI Moderation v1 (007)

Harassment > Threatening

0.006681693

OpenAI Moderation v1 (007)

Violence > Graphic

0.0036476242

OpenAI Moderation v1 (007)

Sexual

0.0022271062

OpenAI Moderation v1 (007)

Harassment

0.0016900851

OpenAI Moderation v1 (007)

Sexual > Minors

0.0011426223

OpenAI Moderation v1 (007)

Self-Harm

0.0004156215

OpenAI Moderation v1 (007)

Hate

3.31373E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.0843E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.3212E-6

OpenAI Moderation v1 (007)

Hate > Threatening

3.2547E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.4

Flesch-Kincaid Ease

64.8

Gunning-Fog Score

14.3

Coleman-Liau Index

8

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

3.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

26

Jeff Sessions

They have been trained.

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

0.4908725619

OpenAI Moderation v1 (007)

Violence > Graphic

0.0709096494

OpenAI Moderation v1 (007)

Violence

0.0281559565

OpenAI Moderation v1 (007)

Hate

0.0176915084

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0135944269

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0018931592

OpenAI Moderation v1 (007)

Sexual

0.0016497075

OpenAI Moderation v1 (007)

Self-Harm

0.0004512168

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002944875

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002144104

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.99115E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.6

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

2.9

Dale-Chall Readability Score

4.1

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

That is correct, and then we give them an implementation grant, and that can go up to, I think, 3 years, and after that, you can get an enhancement grant for special purposes. Many enhancement grants actually go to building capacity and funding for evaluation activities.

Sentiment

Loughran McDonald (Relative)

0.33333

Somewhat Positive

Loughran McDonald (Absolute)

0.33333

Somewhat Positive

Loughran McDonald (Logit)

0.51083

Harvard-IV (Relative)

0.71429

Very Positive

Harvard-IV (Absolute)

0.71429

Very Positive

Harvard-IV (Logit)

1.46634

VADER

0.823

Very Positive

Moderation

Harassment

0.2590697259

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0380283309

OpenAI Moderation v1 (007)

Violence

0.0315552694

OpenAI Moderation v1 (007)

Hate

0.002980729

OpenAI Moderation v1 (007)

Sexual

0.0029007295

OpenAI Moderation v1 (007)

Violence > Graphic

0.0028958926

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0014386332

OpenAI Moderation v1 (007)

Self-Harm

0.0005918497

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002059294

OpenAI Moderation v1 (007)

Hate > Threatening

9.62127E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.27177E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

47.4

Gunning-Fog Score

16.2

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.6

Sprache Readability Score

4.3

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

11

Jeff Sessions

In existing courts?

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

0.1716930186

OpenAI Moderation v1 (007)

Violence > Graphic

0.0406839477

OpenAI Moderation v1 (007)

Violence

0.0326574285

OpenAI Moderation v1 (007)

Sexual > Minors

0.0101888043

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0086864842

OpenAI Moderation v1 (007)

Sexual

0.0054320128

OpenAI Moderation v1 (007)

Hate

0.0028580043

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0021059255

OpenAI Moderation v1 (007)

Self-Harm

0.001639774

OpenAI Moderation v1 (007)

Hate > Threatening

9.76082E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.17876E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.2

Flesch-Kincaid Ease

62.8

Gunning-Fog Score

14.5

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

5.2

Dale-Chall Readability Score

5.4

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

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

Sexual > Minors

0.004635971

OpenAI Moderation v1 (007)

Violence

0.0042044685

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0038444814

OpenAI Moderation v1 (007)

Violence > Graphic

0.0036553858

OpenAI Moderation v1 (007)

Sexual

0.0026694284

OpenAI Moderation v1 (007)

Self-Harm

0.0007654483

OpenAI Moderation v1 (007)

Harassment

0.0006618789

OpenAI Moderation v1 (007)

Hate

5.82489E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.82834E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.37646E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.4004E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

36.6

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

12

Dale-Chall Readability Score

0

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Jeff Sessions

So normally you have a grant that provides funding for 3 years. Is a State required to match that in any --

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

0.361

Somewhat Positive

Moderation

Harassment

0.0126762898

OpenAI Moderation v1 (007)

Violence

0.0113765353

OpenAI Moderation v1 (007)

Violence > Graphic

0.0071243856

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0016017389

OpenAI Moderation v1 (007)

Sexual

0.0010443597

OpenAI Moderation v1 (007)

Hate

0.0005257717

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004586762

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001668326

OpenAI Moderation v1 (007)

Self-Harm

0.0001651203

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.40603E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.6113E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.1

Flesch-Kincaid Ease

91.4

Gunning-Fog Score

6.1

Coleman-Liau Index

7.2

SMOG Index

7.3

Automated Readability Index

2.2

Dale-Chall Readability Score

4.3

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

7

Mary Leary

Twenty-five percent match.

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

0.0601495616

OpenAI Moderation v1 (007)

Violence

0.0262456946

OpenAI Moderation v1 (007)

Hate

0.0137585215

OpenAI Moderation v1 (007)

Harassment

0.0080362493

OpenAI Moderation v1 (007)

Sexual > Minors

0.0068062924

OpenAI Moderation v1 (007)

Violence > Graphic

0.0019571597

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008415324

OpenAI Moderation v1 (007)

Self-Harm

0.0001349049

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001098884

OpenAI Moderation v1 (007)

Hate > Threatening

6.13108E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.76101E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.7

Flesch-Kincaid Ease

75.9

Gunning-Fog Score

1.6

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

6.5

Dale-Chall Readability Score

4.1

Sprache Readability Score

1.4

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

3

Jeff Sessions

So it would be 75 percent Federal support for 3 years?

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

Harassment

0.0217925146

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0114036236

OpenAI Moderation v1 (007)

Sexual > Minors

0.0091879221

OpenAI Moderation v1 (007)

Violence

0.0082818202

OpenAI Moderation v1 (007)

Hate

0.006468127

OpenAI Moderation v1 (007)

Violence > Graphic

0.0063540065

OpenAI Moderation v1 (007)

Sexual

0.0040068317

OpenAI Moderation v1 (007)

Hate > Threatening

0.0019470697

OpenAI Moderation v1 (007)

Self-Harm

0.0001634793

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.09113E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.1137E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.6

Flesch-Kincaid Ease

95.7

Gunning-Fog Score

4.4

Coleman-Liau Index

5.6

SMOG Index

9

Automated Readability Index

1.2

Dale-Chall Readability Score

4.9

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Mary Leary

Well, they are not all 3 years. If you can hold on 1 second.

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

Sexual > Minors

0.0030314808

OpenAI Moderation v1 (007)

Sexual

0.0025739128

OpenAI Moderation v1 (007)

Violence

0.0013324382

OpenAI Moderation v1 (007)

Violence > Graphic

0.0005761201

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004747449

OpenAI Moderation v1 (007)

Harassment

0.0002775762

OpenAI Moderation v1 (007)

Self-Harm

0.0002445044

OpenAI Moderation v1 (007)

Hate

4.19068E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.02763E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.7467E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.9256E-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

Mary Leary

It is up to 3 years.

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

0.005536999

OpenAI Moderation v1 (007)

Violence

0.0041528725

OpenAI Moderation v1 (007)

Sexual

0.0027266595

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0015727946

OpenAI Moderation v1 (007)

Harassment

0.0015278605

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004377663

OpenAI Moderation v1 (007)

Self-Harm

0.0003835618

OpenAI Moderation v1 (007)

Hate

0.0002853066

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001725155

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.69459E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.04149E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

2.4

Coleman-Liau Index

0

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

Jeff Sessions

OK.

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

0.296

Slightly Positive

Moderation

Violence

0.0110921719

OpenAI Moderation v1 (007)

Harassment

0.0088006513

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0068572124

OpenAI Moderation v1 (007)

Sexual

0.0059428308

OpenAI Moderation v1 (007)

Sexual > Minors

0.0058554284

OpenAI Moderation v1 (007)

Violence > Graphic

0.0043556229

OpenAI Moderation v1 (007)

Hate

0.0028274142

OpenAI Moderation v1 (007)

Self-Harm

0.0002386845

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001402647

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.31983E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.1522E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

0

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

10

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

It is not a requirement, and it is up to 3.

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

0.0073942712

OpenAI Moderation v1 (007)

Sexual

0.0050048799

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0038862894

OpenAI Moderation v1 (007)

Violence

0.0015649113

OpenAI Moderation v1 (007)

Hate

0.0013578474

OpenAI Moderation v1 (007)

Harassment

0.000971775

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007433407

OpenAI Moderation v1 (007)

Self-Harm

0.0004428573

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001326787

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001060065

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.9995E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

1.6

Flesch-Kincaid Ease

100

Gunning-Fog Score

8

Coleman-Liau Index

0.2

SMOG Index

9

Automated Readability Index

0

Dale-Chall Readability Score

2

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

And then presumably the court is 100 percent funded by the State and local institutions?

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

0.0302196509

OpenAI Moderation v1 (007)

Harassment

0.0188822305

OpenAI Moderation v1 (007)

Violence

0.0188062448

OpenAI Moderation v1 (007)

Hate

0.0088763365

OpenAI Moderation v1 (007)

Sexual

0.0083866857

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0027619455

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006568954

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002352735

OpenAI Moderation v1 (007)

Self-Harm

0.0001337632

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.58175E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.1801E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

61.9

Gunning-Fog Score

11.3

Coleman-Liau Index

11.7

SMOG Index

11.3

Automated Readability Index

8.1

Dale-Chall Readability Score

6

Sprache Readability Score

3

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

7

Mary Leary

They can be funded by the State. They can get local or private foundation, whatever.

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

0.1747719361

OpenAI Moderation v1 (007)

Violence > Graphic

0.0102922058

OpenAI Moderation v1 (007)

Sexual > Minors

0.0089908899

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.00814995

OpenAI Moderation v1 (007)

Hate

0.0068465488

OpenAI Moderation v1 (007)

Violence

0.0068302455

OpenAI Moderation v1 (007)

Sexual

0.0028769764

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0018624854

OpenAI Moderation v1 (007)

Self-Harm

0.0011472147

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005199442

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002001575

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.6

Flesch-Kincaid Ease

75.1

Gunning-Fog Score

8.3

Coleman-Liau Index

10.5

SMOG Index

9

Automated Readability Index

3.4

Dale-Chall Readability Score

5.6

Sprache Readability Score

2.1

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

6

Jeff Sessions

But the Federal Government's funding would normally be expected to end after 3 years?

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

0.0080922247

OpenAI Moderation v1 (007)

Violence > Graphic

0.0073967109

OpenAI Moderation v1 (007)

Violence

0.0059098995

OpenAI Moderation v1 (007)

Sexual

0.0023426524

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014659457

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003994905

OpenAI Moderation v1 (007)

Hate

0.0002940478

OpenAI Moderation v1 (007)

Self-Harm

5.92294E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.6641E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.5465E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.081E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.3

Flesch-Kincaid Ease

53.6

Gunning-Fog Score

11.3

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

8.8

Dale-Chall Readability Score

6.3

Sprache Readability Score

2.8

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

5

Mary Leary

That is our goal, yes, that they would move off to State and local sources of funding, and, in fact, 22 legislatures in recent times have passed legislation at the State level to support drug courts. So we really are seeing success with this, and when you have 100 new courts coming on board each year, and only half of them are funded with Drug Court Program Office funding, that is also a good sign.

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

0.906

Very Positive

Moderation

Harassment

0.0554945727

OpenAI Moderation v1 (007)

Violence

0.0500930706

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0317760423

OpenAI Moderation v1 (007)

Hate

0.0237202476

OpenAI Moderation v1 (007)

Sexual

0.0093655384

OpenAI Moderation v1 (007)

Hate > Threatening

0.005497539

OpenAI Moderation v1 (007)

Violence > Graphic

0.0029057799

OpenAI Moderation v1 (007)

Sexual > Minors

0.0023194465

OpenAI Moderation v1 (007)

Self-Harm

0.0002013118

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001636988

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.19222E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

59.4

Gunning-Fog Score

17.1

Coleman-Liau Index

8.7

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

4.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

20

Jeff Sessions

It is 100 new courts, and only half of them are receiving Federal money?

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

0.0034689689

OpenAI Moderation v1 (007)

Violence

0.0020316786

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015241628

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008724644

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007542067

OpenAI Moderation v1 (007)

Hate

0.0007097732

OpenAI Moderation v1 (007)

Self-Harm

0.0003090629

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000269737

OpenAI Moderation v1 (007)

Harassment

0.0001736557

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001407252

OpenAI Moderation v1 (007)

Hate > Threatening

8.43062E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.9

Flesch-Kincaid Ease

77.8

Gunning-Fog Score

8.5

Coleman-Liau Index

6.9

SMOG Index

11.3

Automated Readability Index

3.7

Dale-Chall Readability Score

3

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

3

Mary Leary

Only half are receiving Drug Courts Program Office money, but, you know, they are probably using some of their other sources.

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

0.0374950905

OpenAI Moderation v1 (007)

Sexual

0.0151792425

OpenAI Moderation v1 (007)

Violence > Graphic

0.007530384

OpenAI Moderation v1 (007)

Harassment

0.0020267498

OpenAI Moderation v1 (007)

Self-Harm

0.001971556

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0013950327

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0013336549

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009749152

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007789316

OpenAI Moderation v1 (007)

Hate

0.0001686964

OpenAI Moderation v1 (007)

Hate > Threatening

4.66341E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.6

Flesch-Kincaid Ease

56.6

Gunning-Fog Score

12.2

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

11.7

Dale-Chall Readability Score

5.6

Sprache Readability Score

3.8

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

7

Jeff Sessions

Now, HHS has a substantial sum of money devoted to drug treatment. Are you aware of how effectively they are working with local drug courts to apply those drug treatment resources in a way that facilitates the success of a drug court?

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.60944

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.70805

VADER

0.878

Very Positive

Moderation

Violence

0.0865234062

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0573156169

OpenAI Moderation v1 (007)

Harassment

0.0533574843

OpenAI Moderation v1 (007)

Violence > Graphic

0.013952388

OpenAI Moderation v1 (007)

Sexual

0.0095313342

OpenAI Moderation v1 (007)

Hate

0.0093447525

OpenAI Moderation v1 (007)

Self-Harm

0.0009344964

OpenAI Moderation v1 (007)

Hate > Threatening

0.0006436073

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003810712

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.5817E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.32315E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10

Flesch-Kincaid Ease

60.6

Gunning-Fog Score

13.2

Coleman-Liau Index

10.8

SMOG Index

12

Automated Readability Index

10.4

Dale-Chall Readability Score

7.4

Sprache Readability Score

4.4

Dale-Chall Difficult Word Score

17

Sprache Difficult Word Count

15

Mary Leary

The very best drug courts are working closely with HHS, and they need to be partners. That is one of the things that we tried to facilitate.

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

0.667

Very Positive

Moderation

Sexual

0.0614016491

OpenAI Moderation v1 (007)

Violence

0.0268315227

OpenAI Moderation v1 (007)

Hate

0.0139810611

OpenAI Moderation v1 (007)

Harassment

0.0081959639

OpenAI Moderation v1 (007)

Sexual > Minors

0.0069528935

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020079424

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008649817

OpenAI Moderation v1 (007)

Self-Harm

0.0001392012

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001126957

OpenAI Moderation v1 (007)

Hate > Threatening

6.3517E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.9615E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.5

Flesch-Kincaid Ease

86.6

Gunning-Fog Score

6.9

Coleman-Liau Index

8.4

SMOG Index

7.3

Automated Readability Index

4.7

Dale-Chall Readability Score

3.6

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

8

Jeff Sessions

But I have been in the real world, and the real world doesn't always work like we think. I mean, maybe HHS has a plan they want to do in a local community, and they are not interested in redirecting resources under some sort of a hegemony of the judge who wants to do it a certain other way.

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

0.119

Leans Positive

Moderation

Sexual

0.1388121396

OpenAI Moderation v1 (007)

Harassment

0.0884648005

OpenAI Moderation v1 (007)

Violence

0.0387298671

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0099507262

OpenAI Moderation v1 (007)

Hate

0.0033477179

OpenAI Moderation v1 (007)

Sexual > Minors

0.0029201219

OpenAI Moderation v1 (007)

Violence > Graphic

0.0019690777

OpenAI Moderation v1 (007)

Self-Harm

0.0016113467

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005608146

OpenAI Moderation v1 (007)

Hate > Threatening

0.0004690511

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002135722

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

60.7

Gunning-Fog Score

15.2

Coleman-Liau Index

6.9

SMOG Index

12

Automated Readability Index

11.4

Dale-Chall Readability Score

3.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

10

Mary Leary

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

Violence

0.01827222

OpenAI Moderation v1 (007)

Sexual

0.0179412978

OpenAI Moderation v1 (007)

Violence > Graphic

0.0154852809

OpenAI Moderation v1 (007)

Harassment

0.0062554369

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0028970526

OpenAI Moderation v1 (007)

Hate

0.002743177

OpenAI Moderation v1 (007)

Self-Harm

0.0013353234

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0009810624

OpenAI Moderation v1 (007)

Sexual > Minors

0.0009446258

OpenAI Moderation v1 (007)

Hate > Threatening

0.000626816

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003206594

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

2.6

Dale-Chall Readability Score

0

Sprache Readability Score

0.8

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

Could we improve OJP's cooperation with HHS in helping fund drug treatment for these courts?

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

0.625

Very Positive

Moderation

Violence > Graphic

0.0229286437

OpenAI Moderation v1 (007)

Harassment

0.0141496726

OpenAI Moderation v1 (007)

Violence

0.007830187

OpenAI Moderation v1 (007)

Sexual

0.0063155916

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0058568301

OpenAI Moderation v1 (007)

Hate

0.0024158437

OpenAI Moderation v1 (007)

Sexual > Minors

0.0021604277

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.00100429

OpenAI Moderation v1 (007)

Self-Harm

0.0008557037

OpenAI Moderation v1 (007)

Hate > Threatening

0.0006764101

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001297016

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.8

Flesch-Kincaid Ease

73.2

Gunning-Fog Score

8.7

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

9.9

Dale-Chall Readability Score

8.1

Sprache Readability Score

3.2

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

9

Mary Leary

I would have to say that there is always room for improvement in Federal collaboration among agencies. I have seen that from my own experience in the U.S. Attorney's Office and at OJP, but we do work pretty closely with CSAT to try to coordinate our efforts in treatment and also even data collection, because if a drug court is working with OJP and with HHS, they have to collect data for each of those Federal agencies. It doesn't make sense for us not to be talking to one another about common data elements that would be useful for both agencies and the courts.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.60944

Harvard-IV (Relative)

0.8

Very Positive

Harvard-IV (Absolute)

0.8

Very Positive

Harvard-IV (Logit)

1.84583

VADER

0.879

Very Positive

Moderation

Violence

0.0024472592

OpenAI Moderation v1 (007)

Violence > Graphic

0.0018871171

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001432721

OpenAI Moderation v1 (007)

Sexual

0.0009187635

OpenAI Moderation v1 (007)

Harassment

0.0007097576

OpenAI Moderation v1 (007)

Hate

0.0001311128

OpenAI Moderation v1 (007)

Self-Harm

7.82819E-5

OpenAI Moderation v1 (007)

Sexual > Minors

5.04543E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.4686E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.0755E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.616E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.7

Flesch-Kincaid Ease

63.1

Gunning-Fog Score

12.2

Coleman-Liau Index

9.5

SMOG Index

12

Automated Readability Index

9.3

Dale-Chall Readability Score

5.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

28

Sprache Difficult Word Count

26

Mary Leary

So we are working on that regard as well, but there is always room for improvement only Federal collaboration.

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)

1.94591

VADER

0.676

Very Positive

Moderation

Harassment > Threatening

0.0825350289

OpenAI Moderation v1 (007)

Harassment

0.0227220735

OpenAI Moderation v1 (007)

Violence

0.0178111237

OpenAI Moderation v1 (007)

Violence > Graphic

0.0068625894

OpenAI Moderation v1 (007)

Sexual

0.004054606

OpenAI Moderation v1 (007)

Sexual > Minors

0.0024485547

OpenAI Moderation v1 (007)

Hate

0.0021465123

OpenAI Moderation v1 (007)

Self-Harm

0.0020024425

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002525932

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001448548

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.02667E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.1

Flesch-Kincaid Ease

49.5

Gunning-Fog Score

11.8

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

10.4

Dale-Chall Readability Score

5.1

Sprache Readability Score

3.4

Dale-Chall Difficult Word Score

5

Sprache Difficult Word Count

5

Jeff Sessions

Let me mention to you and discuss with you the 1997 GAO report which preceded your time there. It recommended that the Department of Justice require drug court programs to collect in-program -- that is, while they are in the drug court and being tested and meeting regularly with the judge -- in-program recidivist data and post-program recidivist data. That is, after they have completed and graduated, what kind of recidivist data do we have? This makes sense to me because it would enable OJP to evaluate drug courts, perhaps determine which ones work better than others, and could help give valuable advice to all these States who are thinking about adopting it.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.94591

Harvard-IV (Relative)

0.85714

Very Positive

Harvard-IV (Absolute)

0.85714

Very Positive

Harvard-IV (Logit)

2.19722

VADER

0.917

Very Positive

Moderation

Sexual

0.0298952917

OpenAI Moderation v1 (007)

Hate

0.004118411

OpenAI Moderation v1 (007)

Violence

0.0025310772

OpenAI Moderation v1 (007)

Harassment

0.0016469015

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013575082

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004403069

OpenAI Moderation v1 (007)

Sexual > Minors

0.000402428

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002395132

OpenAI Moderation v1 (007)

Self-Harm

0.0002360438

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.49791E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.18031E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

48.8

Gunning-Fog Score

16

Coleman-Liau Index

11.8

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

33

Jeff Sessions

To me, we could provide no greater service than to have really peer-reviewed scientific information that we could provide to a local or State jurisdiction when they decide to adopt a drug court. So what efforts have we undertaken to date, and what information and statistical information have we obtained since that 1997 GAO report?

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

2.19722

Harvard-IV (Relative)

0.71429

Very Positive

Harvard-IV (Absolute)

0.71429

Very Positive

Harvard-IV (Logit)

1.46634

VADER

0.25

Slightly Positive

Moderation

Violence

0.3946583718

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0329028786

OpenAI Moderation v1 (007)

Harassment

0.0141510624

OpenAI Moderation v1 (007)

Hate

0.0074376709

OpenAI Moderation v1 (007)

Sexual

0.0032346139

OpenAI Moderation v1 (007)

Violence > Graphic

0.002107418

OpenAI Moderation v1 (007)

Self-Harm

0.0005976679

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003267089

OpenAI Moderation v1 (007)

Sexual > Minors

0.000115979

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.7834E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.3332E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

42.5

Gunning-Fog Score

17.6

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

18

Sprache Difficult Word Count

21

Mary Leary

The most reliable information that we have obtained is through our NIJ studies, which we have provided to your staff and have talked about with them, and that is because we have discovered that States and local courts --

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

Neutral

Moderation

Harassment > Threatening

0.0112695881

OpenAI Moderation v1 (007)

Violence

0.0096098389

OpenAI Moderation v1 (007)

Violence > Graphic

0.0028029837

OpenAI Moderation v1 (007)

Harassment

0.002378184

OpenAI Moderation v1 (007)

Self-Harm

0.0019727015

OpenAI Moderation v1 (007)

Sexual

0.0006494722

OpenAI Moderation v1 (007)

Hate

0.000290896

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002210674

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001715321

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.95114E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.45427E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

48

Gunning-Fog Score

19

Coleman-Liau Index

11.8

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

12

Jeff Sessions

Some of those were pre-1997, weren't they? Have you undertaken anything intensively or significantly since 1997 to really make a major leap in your analysis of these drug courts?

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0

Neutral

Moderation

Sexual

0.0329697272

OpenAI Moderation v1 (007)

Violence

0.0141015058

OpenAI Moderation v1 (007)

Harassment

0.0066623958

OpenAI Moderation v1 (007)

Hate

0.0061381164

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020876232

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017182803

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0013138643

OpenAI Moderation v1 (007)

Self-Harm

0.000210288

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.52387E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.94186E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.0463E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.7

Flesch-Kincaid Ease

59.1

Gunning-Fog Score

14

Coleman-Liau Index

11.1

SMOG Index

12

Automated Readability Index

7.6

Dale-Chall Readability Score

4.4

Sprache Readability Score

3.4

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

11

Mary Leary

Yes. We have a big effort in partnership with the National Institute of Justice, which is part of OJP, to do this long-term study. And that will give us, you know, perspective. It is kind of a -- it is a national evaluation, but in terms of the -- I think we have a real obligation to help build the capacity at the local level so that the courts can get a better handle themselves on the results of their efforts. We found that they are sorely lacking in expertise and equipment and sophistication.

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)

0.63599

VADER

0.887

Very Positive

Moderation

Violence

0.0827337673

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0154407244

OpenAI Moderation v1 (007)

Sexual

0.0077017321

OpenAI Moderation v1 (007)

Violence > Graphic

0.0052619191

OpenAI Moderation v1 (007)

Harassment

0.0032247302

OpenAI Moderation v1 (007)

Hate

0.0007498091

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006715516

OpenAI Moderation v1 (007)

Hate > Threatening

0.00038705

OpenAI Moderation v1 (007)

Self-Harm

4.94838E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.6739E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.8057E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.7

Flesch-Kincaid Ease

66.1

Gunning-Fog Score

11.3

Coleman-Liau Index

8.9

SMOG Index

11.7

Automated Readability Index

7.7

Dale-Chall Readability Score

4.5

Sprache Readability Score

4.7

Dale-Chall Difficult Word Score

21

Sprache Difficult Word Count

22

Mary Leary

So we have done a number of things. Number one, when we bring communities in --

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 Positive

Moderation

Harassment

0.0052165786

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0027036795

OpenAI Moderation v1 (007)

Violence

0.0027033391

OpenAI Moderation v1 (007)

Sexual

0.0008070844

OpenAI Moderation v1 (007)

Self-Harm

0.0004977713

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0004793068

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004241626

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003389177

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001170179

OpenAI Moderation v1 (007)

Hate

8.02817E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.03178E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.1

Flesch-Kincaid Ease

86.4

Gunning-Fog Score

5.7

Coleman-Liau Index

7.7

SMOG Index

7.3

Automated Readability Index

1.2

Dale-Chall Readability Score

1.4

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

I guess I want to stay on this research and evaluation information question. GAO recommended that. Do you agree with their recommendations?

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

0.557

Very Positive

Moderation

Violence

0.0204906057

OpenAI Moderation v1 (007)

Violence > Graphic

0.0191175568

OpenAI Moderation v1 (007)

Sexual > Minors

0.0048951431

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0033968437

OpenAI Moderation v1 (007)

Sexual

0.003153654

OpenAI Moderation v1 (007)

Harassment

0.0011736943

OpenAI Moderation v1 (007)

Hate

0.0002899836

OpenAI Moderation v1 (007)

Self-Harm

2.28764E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.48448E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.30199E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.4894E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.2

Flesch-Kincaid Ease

49.4

Gunning-Fog Score

10.2

Coleman-Liau Index

12

SMOG Index

9.9

Automated Readability Index

6.9

Dale-Chall Readability Score

5.4

Sprache Readability Score

2.3

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

9

Mary Leary

No, I agree that ideally you would be collecting that kind of data.

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

0.477

Positive

Moderation

Sexual

0.0318608276

OpenAI Moderation v1 (007)

Harassment

0.0108696579

OpenAI Moderation v1 (007)

Violence

0.0049744838

OpenAI Moderation v1 (007)

Hate

0.0036483616

OpenAI Moderation v1 (007)

Violence > Graphic

0.0024091603

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0014912589

OpenAI Moderation v1 (007)

Self-Harm

0.0009777112

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008854348

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004325841

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.26667E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.8049E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.7

Flesch-Kincaid Ease

70

Gunning-Fog Score

11.4

Coleman-Liau Index

8.2

SMOG Index

11.3

Automated Readability Index

4.3

Dale-Chall Readability Score

4.3

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

4

Jeff Sessions

And they talked about evaluating programs through DOJ funding to assess post-program criminal and drug recidivism and compare that to a group of non-participants or similar cohort.

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

-0.527

Very Negative

Moderation

Sexual

0.023862427

OpenAI Moderation v1 (007)

Violence

0.0164620782

OpenAI Moderation v1 (007)

Sexual > Minors

0.0147655446

OpenAI Moderation v1 (007)

Violence > Graphic

0.0067296205

OpenAI Moderation v1 (007)

Harassment

0.0051298626

OpenAI Moderation v1 (007)

Hate

0.0038783812

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0031760817

OpenAI Moderation v1 (007)

Self-Harm

0.0006389642

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005554785

OpenAI Moderation v1 (007)

Hate > Threatening

0.0005094886

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000220962

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

25.7

Gunning-Fog Score

18.5

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

15

Mary Leary

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

Violence > Graphic

0.0269799231

OpenAI Moderation v1 (007)

Violence

0.0183102587

OpenAI Moderation v1 (007)

Sexual

0.0066246306

OpenAI Moderation v1 (007)

Harassment > Threatening

0.002909698

OpenAI Moderation v1 (007)

Hate

0.0018226881

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017855027

OpenAI Moderation v1 (007)

Harassment

0.0017649219

OpenAI Moderation v1 (007)

Self-Harm

0.0016168789

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001963709

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001906804

OpenAI Moderation v1 (007)

Hate > Threatening

2.00403E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

3.3

Automated Readability Index

2.6

Dale-Chall Readability Score

0

Sprache Readability Score

0.8

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

Do you agree that would be a good project?

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

0.66

Very Positive

Moderation

Harassment

0.0286080613

OpenAI Moderation v1 (007)

Sexual

0.017836022

OpenAI Moderation v1 (007)

Hate

0.0134699076

OpenAI Moderation v1 (007)

Violence > Graphic

0.0038168895

OpenAI Moderation v1 (007)

Violence

0.0021074866

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020734409

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003527047

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.98788E-5

OpenAI Moderation v1 (007)

Self-Harm

3.3773E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.5459E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.59208E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

94.3

Gunning-Fog Score

3.6

Coleman-Liau Index

5.8

SMOG Index

3.3

Automated Readability Index

0.3

Dale-Chall Readability Score

2.2

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

That would be very useful, and some of that has been done.

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

0.488

Positive

Moderation

Sexual

0.0561200024

OpenAI Moderation v1 (007)

Harassment

0.0373867806

OpenAI Moderation v1 (007)

Hate

0.0327941787

OpenAI Moderation v1 (007)

Violence > Graphic

0.0279143569

OpenAI Moderation v1 (007)

Violence

0.0142237506

OpenAI Moderation v1 (007)

Sexual > Minors

0.0057724985

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0010987941

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000405773

OpenAI Moderation v1 (007)

Self-Harm

0.0003097956

OpenAI Moderation v1 (007)

Hate > Threatening

1.328E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.30314E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.9

Flesch-Kincaid Ease

96

Gunning-Fog Score

4.8

Coleman-Liau Index

6.3

SMOG Index

3.3

Automated Readability Index

2.2

Dale-Chall Readability Score

0.6

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Jeff Sessions

Well, some of that has been done. Can't we get that information? Isn't that a reasonable request for those of us who are providing funding that after a decade here we begin to really evaluate this?

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

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

0.353

Somewhat Positive

Moderation

Hate

0.0180671661

OpenAI Moderation v1 (007)

Sexual

0.0151805449

OpenAI Moderation v1 (007)

Violence

0.0104034414

OpenAI Moderation v1 (007)

Sexual > Minors

0.005903394

OpenAI Moderation v1 (007)

Harassment

0.0037726677

OpenAI Moderation v1 (007)

Self-Harm

0.0011607807

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008709638

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004040813

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003306376

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003045907

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001001751

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.8

Flesch-Kincaid Ease

67.8

Gunning-Fog Score

10.4

Coleman-Liau Index

9.7

SMOG Index

10.6

Automated Readability Index

5

Dale-Chall Readability Score

4.1

Sprache Readability Score

2.8

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

9

Mary Leary

Yes, I agree. I think that is very useful information. It is information we should have. It is not easy to obtain, as you know, particularly in instances where the supervisory power of the court has ended. Somebody is no longer on probation. It is difficult to track that individual into the future, and that is a problem that we are grappling with, and we are trying to figure it out at the Federal level, and we are also trying to help the States build capacity so that local courts can do a better job.

Sentiment

Loughran McDonald (Relative)

0.33333

Somewhat Positive

Loughran McDonald (Absolute)

0.33333

Somewhat Positive

Loughran McDonald (Logit)

0.58779

Harvard-IV (Relative)

0.28571

Slightly Positive

Harvard-IV (Absolute)

0.28571

Slightly Positive

Harvard-IV (Logit)

0.54654

VADER

0.719

Very Positive

Moderation

Harassment

0.0095002375

OpenAI Moderation v1 (007)

Sexual

0.0063926178

OpenAI Moderation v1 (007)

Violence

0.0048857506

OpenAI Moderation v1 (007)

Hate

0.0040519622

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0029470744

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011827586

OpenAI Moderation v1 (007)

Sexual > Minors

0.000761226

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.37616E-5

OpenAI Moderation v1 (007)

Self-Harm

1.19188E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.112E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.2839E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.5

Flesch-Kincaid Ease

62.5

Gunning-Fog Score

10.5

Coleman-Liau Index

8.9

SMOG Index

11

Automated Readability Index

6.3

Dale-Chall Readability Score

3.9

Sprache Readability Score

4.5

Dale-Chall Difficult Word Score

19

Sprache Difficult Word Count

23

Jeff Sessions

Well, will you commit that as part of this National Institute of Justice study that you would evaluate those issues that GAO suggested that we will have a recidivism program both in-program and out-of-program and compared to nonparticipants?

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

0.772

Very Positive

Moderation

Sexual

0.0444583333

OpenAI Moderation v1 (007)

Violence > Graphic

0.0433529582

OpenAI Moderation v1 (007)

Violence

0.0173285196

OpenAI Moderation v1 (007)

Hate

0.0135010661

OpenAI Moderation v1 (007)

Sexual > Minors

0.0092915368

OpenAI Moderation v1 (007)

Harassment

0.0087433269

OpenAI Moderation v1 (007)

Self-Harm

0.0014192149

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0005028834

OpenAI Moderation v1 (007)

Harassment > Threatening

9.52873E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.01713E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.36587E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

29

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.4

Sprache Readability Score

5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

13

Mary Leary

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

Sexual

0.0298643863

OpenAI Moderation v1 (007)

Hate

0.0040568375

OpenAI Moderation v1 (007)

Violence

0.0025090441

OpenAI Moderation v1 (007)

Harassment

0.0016266751

OpenAI Moderation v1 (007)

Violence > Graphic

0.0013397354

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004327405

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003952553

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.000238462

OpenAI Moderation v1 (007)

Self-Harm

0.000233135

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.35103E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.15353E-5

OpenAI Moderation v1 (007)

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

Jeff Sessions

I just think that is important. We need to nail that down.

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

Harassment

0.0018202423

OpenAI Moderation v1 (007)

Sexual

0.0010348597

OpenAI Moderation v1 (007)

Hate

0.0008366184

OpenAI Moderation v1 (007)

Violence

0.0007454776

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003059007

OpenAI Moderation v1 (007)

Violence > Graphic

0.0002697056

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002396966

OpenAI Moderation v1 (007)

Self-Harm

4.16238E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.2E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.344E-7

OpenAI Moderation v1 (007)

Hate > Threatening

4.306E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.5

Flesch-Kincaid Ease

100

Gunning-Fog Score

5.7

Coleman-Liau Index

6.2

SMOG Index

7.3

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

1

Mary Leary

Right. And I should probably make it clear that we will do it through the studies. It is impossible to do it for every single drug court in America.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.5

Positive

Harvard-IV (Absolute)

0.5

Positive

Harvard-IV (Logit)

0.8473

VADER

0.382

Somewhat Positive

Moderation

Sexual

0.0887386734

OpenAI Moderation v1 (007)

Violence

0.0244353927

OpenAI Moderation v1 (007)

Harassment

0.0131778215

OpenAI Moderation v1 (007)

Violence > Graphic

0.0104869971

OpenAI Moderation v1 (007)

Hate

0.0099596684

OpenAI Moderation v1 (007)

Harassment > Threatening

0.004119629

OpenAI Moderation v1 (007)

Sexual > Minors

0.0037026621

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002355807

OpenAI Moderation v1 (007)

Self-Harm

0.000229024

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001762066

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001431074

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4.9

Flesch-Kincaid Ease

77.4

Gunning-Fog Score

8

Coleman-Liau Index

7.9

SMOG Index

9.9

Automated Readability Index

2.4

Dale-Chall Readability Score

2.1

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

7

Jeff Sessions

Right. 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)

1.60944

VADER

0

Neutral

Moderation

Harassment

0.0256386498

OpenAI Moderation v1 (007)

Violence

0.0172537664

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0055785302

OpenAI Moderation v1 (007)

Sexual

0.0046650992

OpenAI Moderation v1 (007)

Violence > Graphic

0.0046390047

OpenAI Moderation v1 (007)

Self-Harm

0.0013981492

OpenAI Moderation v1 (007)

Hate

0.0011836669

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007943248

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002064477

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001252909

OpenAI Moderation v1 (007)

Hate > Threatening

6.42476E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

99.1

Gunning-Fog Score

0.8

Coleman-Liau Index

10.6

SMOG Index

3.3

Automated Readability Index

0.8

Dale-Chall Readability Score

0.1

Sprache Readability Score

1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Mary Leary

But we will get a handle on it.

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

0.0083488078

OpenAI Moderation v1 (007)

Sexual

0.0046855279

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0032337379

OpenAI Moderation v1 (007)

Sexual > Minors

0.0016336695

OpenAI Moderation v1 (007)

Harassment

0.0013407734

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007788053

OpenAI Moderation v1 (007)

Hate

0.0001761887

OpenAI Moderation v1 (007)

Self-Harm

1.84454E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.24213E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.22669E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.0451E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.8

Flesch-Kincaid Ease

100

Gunning-Fog Score

3.2

Coleman-Liau Index

1.1

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.4

Sprache Readability Score

1.6

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

Take a series of them and get some top scientific evaluation 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

0.202

Slightly Positive

Moderation

Harassment

0.1279542688

OpenAI Moderation v1 (007)

Sexual

0.0345472828

OpenAI Moderation v1 (007)

Violence

0.0179397233

OpenAI Moderation v1 (007)

Sexual > Minors

0.0154153036

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0121146513

OpenAI Moderation v1 (007)

Hate

0.0055332202

OpenAI Moderation v1 (007)

Violence > Graphic

0.002063076

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0013806318

OpenAI Moderation v1 (007)

Self-Harm

0.0011677401

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002481356

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.29071E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.8

Flesch-Kincaid Ease

60.7

Gunning-Fog Score

11.5

Coleman-Liau Index

11.2

SMOG Index

11.3

Automated Readability Index

6.2

Dale-Chall Readability Score

4.5

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

3

Jeff Sessions

Would you also be willing to give the Subcommittee a progress report on results as the NIJ study data comes in? Would you share those with us as they come in?

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

0.655

Very Positive

Moderation

Sexual

0.0073148178

OpenAI Moderation v1 (007)

Violence

0.0047650923

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007804001

OpenAI Moderation v1 (007)

Harassment

0.0006696145

OpenAI Moderation v1 (007)

Harassment > Threatening

0.00019808

OpenAI Moderation v1 (007)

Hate

0.0001324907

OpenAI Moderation v1 (007)

Self-Harm

0.0001291669

OpenAI Moderation v1 (007)

Sexual > Minors

8.01565E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.4405E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.5556E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.1492E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.1

Flesch-Kincaid Ease

79.2

Gunning-Fog Score

6.2

Coleman-Liau Index

8.1

SMOG Index

7.3

Automated Readability Index

5.5

Dale-Chall Readability Score

3.8

Sprache Readability Score

3.3

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

9

Mary Leary

Sure.

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 Positive

Moderation

Harassment > Threatening

0.0526546093

OpenAI Moderation v1 (007)

Violence

0.0441486627

OpenAI Moderation v1 (007)

Harassment

0.0241655885

OpenAI Moderation v1 (007)

Self-Harm

0.0046585017

OpenAI Moderation v1 (007)

Violence > Graphic

0.0043937951

OpenAI Moderation v1 (007)

Hate

0.0022130376

OpenAI Moderation v1 (007)

Sexual

0.0019088116

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0017836597

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004894404

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0004130795

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002834007

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

7.5

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

Jeff Sessions

Tell us about this study, NIJ study. Have you had an opportunity, since you have been on board, to evaluate exactly what is planned there, and can you describe for us some of the things that you would like to see covered by this study?

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

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

0.649

Very Positive

Moderation

Violence > Graphic

0.0090523223

OpenAI Moderation v1 (007)

Violence

0.0040711075

OpenAI Moderation v1 (007)

Hate

0.0014424893

OpenAI Moderation v1 (007)

Sexual

0.0009975862

OpenAI Moderation v1 (007)

Hate > Threatening

0.0006110708

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004854001

OpenAI Moderation v1 (007)

Harassment

0.0004214369

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001244131

OpenAI Moderation v1 (007)

Self-Harm

8.65122E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.15409E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.28976E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.9

Flesch-Kincaid Ease

71.2

Gunning-Fog Score

11.7

Coleman-Liau Index

8.4

SMOG Index

10.3

Automated Readability Index

9.2

Dale-Chall Readability Score

3.9

Sprache Readability Score

4

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

8

Mary Leary

The study is -- it is a multiphase study, so it is taking place over a period of time. They are looking at individual drug courts to try to ascertain the number of things, the topology of the drug courts --

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

0.077

Neutral

Moderation

Violence

0.0044783541

OpenAI Moderation v1 (007)

Violence > Graphic

0.0023765448

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001919798

OpenAI Moderation v1 (007)

Harassment

0.0008791612

OpenAI Moderation v1 (007)

Sexual

0.0007386505

OpenAI Moderation v1 (007)

Self-Harm

0.000289303

OpenAI Moderation v1 (007)

Hate

0.0001070229

OpenAI Moderation v1 (007)

Sexual > Minors

9.91905E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.19647E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.06587E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.9053E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.6

Flesch-Kincaid Ease

61.2

Gunning-Fog Score

12.9

Coleman-Liau Index

8.2

SMOG Index

12

Automated Readability Index

7.5

Dale-Chall Readability Score

4.2

Sprache Readability Score

3.8

Dale-Chall Difficult Word Score

8

Sprache Difficult Word Count

10

Jeff Sessions

What does that mean?

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

0.0440840027

OpenAI Moderation v1 (007)

Violence

0.0369875808

OpenAI Moderation v1 (007)

Harassment

0.0100938501

OpenAI Moderation v1 (007)

Sexual

0.0076998163

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0059523823

OpenAI Moderation v1 (007)

Hate

0.0030980427

OpenAI Moderation v1 (007)

Hate > Threatening

0.0005343555

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004152535

OpenAI Moderation v1 (007)

Self-Harm

0.0003053344

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.22811E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.08467E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.6

Coleman-Liau Index

7.7

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

Mary Leary

Let me tell you some of the questions they are trying to answer.

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

Neutral

Moderation

Harassment

0.1373659354

OpenAI Moderation v1 (007)

Violence

0.0603823632

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0397727126

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025706182

OpenAI Moderation v1 (007)

Hate

0.0025155225

OpenAI Moderation v1 (007)

Self-Harm

0.0006840519

OpenAI Moderation v1 (007)

Sexual

0.0001916132

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001189129

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.81582E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.17315E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.5443E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4

Flesch-Kincaid Ease

89.5

Gunning-Fog Score

8.3

Coleman-Liau Index

7.3

SMOG Index

9

Automated Readability Index

3.5

Dale-Chall Readability Score

1.9

Sprache Readability Score

2.4

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Jeff Sessions

OK.

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

0.296

Slightly Positive

Moderation

Violence

0.021637688

OpenAI Moderation v1 (007)

Violence > Graphic

0.0023534836

OpenAI Moderation v1 (007)

Harassment

0.0017243985

OpenAI Moderation v1 (007)

Sexual

0.0008471012

OpenAI Moderation v1 (007)

Self-Harm

0.0003004063

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002860932

OpenAI Moderation v1 (007)

Hate

4.3155E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.7519E-6

OpenAI Moderation v1 (007)

Sexual > Minors

5.5577E-6

OpenAI Moderation v1 (007)

Hate > Threatening

7.575E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.92E-8

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.4

Coleman-Liau Index

0

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

10

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Mary Leary

They are trying to answer questions who are these folks who come into drug courts, what do they need, what are the courts doing to address those needs, and how effective are the steps that are being taken to address those needs, how much does it cost, what is our cost/benefit analysis, what happens to these individuals while they are enrolled in drug court in terms of recidivism, retention, and the like, and then what happened to them after they finish up the drug court program, and obviously compared to people who are on regular probation, for instance, or people who are on various forms of intensive supervision, electronic monitoring and the like, you know, a decent comparison group. Those are the basic questions that we are trying to answer.

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

0.796

Very Positive

Moderation

Violence

0.0822855043

OpenAI Moderation v1 (007)

Harassment

0.029250118

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0162007331

OpenAI Moderation v1 (007)

Self-Harm

0.0046523262

OpenAI Moderation v1 (007)

Violence > Graphic

0.0043478085

OpenAI Moderation v1 (007)

Hate

0.0026831414

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0007337248

OpenAI Moderation v1 (007)

Sexual

0.0002851705

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000175241

OpenAI Moderation v1 (007)

Sexual > Minors

4.48266E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.1205E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

15.1

Gunning-Fog Score

19

Coleman-Liau Index

11.5

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

6.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

30

Sprache Difficult Word Count

34

Jeff Sessions

Well, the thing is it can be awfully muddled --

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

0.273

Slightly Positive

Moderation

Sexual

0.0085167558

OpenAI Moderation v1 (007)

Harassment

0.0084261344

OpenAI Moderation v1 (007)

Violence

0.0045119232

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012789315

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007540815

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003180654

OpenAI Moderation v1 (007)

Hate

0.000229713

OpenAI Moderation v1 (007)

Self-Harm

3.3271E-6

OpenAI Moderation v1 (007)

Hate > Threatening

2.5894E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.341E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.226E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

3.7

Flesch-Kincaid Ease

84.9

Gunning-Fog Score

8

Coleman-Liau Index

7.1

SMOG Index

9

Automated Readability Index

1.4

Dale-Chall Readability Score

2.2

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

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

Sexual

0.0812249316

OpenAI Moderation v1 (007)

Sexual > Minors

0.0340741215

OpenAI Moderation v1 (007)

Hate

0.0070641159

OpenAI Moderation v1 (007)

Harassment

0.0065117463

OpenAI Moderation v1 (007)

Violence

0.006184692

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0059844824

OpenAI Moderation v1 (007)

Self-Harm

0.0023807732

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011833384

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003085375

OpenAI Moderation v1 (007)

Hate > Threatening

2.60213E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.7092E-5

OpenAI Moderation v1 (007)

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

Mary Leary

Senator Sessions [continuing]. About how you compare and what you compare. If you have, for example, an individual who is sentenced normally to probation for a smaller offense, and they have access to the State treatment program of mental health or something, and the judge orders them to undergo treatment, and they report to a probation officer, you know, you never know what has been happening in that treatment. They may be drug testing the person.

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

-0.273

Slightly Negative

Moderation

Violence

0.0096803546

OpenAI Moderation v1 (007)

Harassment > Threatening

0.006771263

OpenAI Moderation v1 (007)

Hate

0.0059026002

OpenAI Moderation v1 (007)

Self-Harm

0.0053135289

OpenAI Moderation v1 (007)

Harassment

0.0027875785

OpenAI Moderation v1 (007)

Sexual

0.0016477388

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006126575

OpenAI Moderation v1 (007)

Violence > Graphic

0.000249668

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001244385

OpenAI Moderation v1 (007)

Hate > Threatening

6.19045E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.35342E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.1

Flesch-Kincaid Ease

55.8

Gunning-Fog Score

12.8

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

10.2

Dale-Chall Readability Score

5.1

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

23

Mary Leary

That is 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

0.0261065579

OpenAI Moderation v1 (007)

Violence > Graphic

0.0092085516

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0076343138

OpenAI Moderation v1 (007)

Violence

0.004710105

OpenAI Moderation v1 (007)

Hate

0.0016937365

OpenAI Moderation v1 (007)

Sexual

0.0008003899

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001047044

OpenAI Moderation v1 (007)

Self-Harm

4.17135E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.97214E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.9693E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.6144E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.2

Coleman-Liau Index

5.7

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.1

Sprache Readability Score

1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

You don't have the leverage of the judge. So comparing this really would take some rigor, and that is why the studies you have got provide insights into this, but from what I can understand, the experts you will be testing later recognize that we are not where we need to be with data at this point.

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

Neutral

Moderation

Harassment

0.2530214377

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0289869407

OpenAI Moderation v1 (007)

Violence

0.0188999533

OpenAI Moderation v1 (007)

Hate

0.0069739232

OpenAI Moderation v1 (007)

Violence > Graphic

0.0034939054

OpenAI Moderation v1 (007)

Sexual

0.002668965

OpenAI Moderation v1 (007)

Self-Harm

0.0009679346

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005862635

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0003639056

OpenAI Moderation v1 (007)

Hate > Threatening

3.96755E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.57694E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.3

Flesch-Kincaid Ease

65.1

Gunning-Fog Score

14.9

Coleman-Liau Index

8.7

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

4.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

10

Sprache Difficult Word Count

14

Mary Leary

That is right. That is right, and you will get a lot more information from the other witnesses on the panel about this, but it is very important, I think, for evaluators to understand what it is that we are evaluating, you know, what are the nuances of this program, how does it actually operate, what are the outside influences that might impact on what is happening on it.

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)

1.22378

VADER

0.381

Somewhat Positive

Moderation

Harassment

0.0365427986

OpenAI Moderation v1 (007)

Violence

0.0140530625

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0079528632

OpenAI Moderation v1 (007)

Hate

0.0052621854

OpenAI Moderation v1 (007)

Sexual

0.0029256049

OpenAI Moderation v1 (007)

Self-Harm

0.002106273

OpenAI Moderation v1 (007)

Violence > Graphic

0.0005200101

OpenAI Moderation v1 (007)

Sexual > Minors

0.000323533

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.61169E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.56921E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.34568E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44.3

Gunning-Fog Score

19

Coleman-Liau Index

9.5

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

4.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

12

Sprache Difficult Word Count

13

Jeff Sessions

One more question, and I will let -- did you have something you wanted to say?

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

Neutral

Moderation

Sexual

0.0182750067

OpenAI Moderation v1 (007)

Harassment

0.0171591833

OpenAI Moderation v1 (007)

Violence

0.0038873277

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006086548

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0006021269

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004263623

OpenAI Moderation v1 (007)

Self-Harm

0.0004019209

OpenAI Moderation v1 (007)

Hate

0.0002992662

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002012577

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.75443E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.801E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.2

Flesch-Kincaid Ease

84.5

Gunning-Fog Score

8.7

Coleman-Liau Index

7.3

SMOG Index

9

Automated Readability Index

4.6

Dale-Chall Readability Score

1.8

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

2

Mary Leary

That is fine.

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

0.0300545275

OpenAI Moderation v1 (007)

Harassment

0.0081979182

OpenAI Moderation v1 (007)

Hate

0.0052454619

OpenAI Moderation v1 (007)

Violence

0.0052362408

OpenAI Moderation v1 (007)

Violence > Graphic

0.0016849419

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015034308

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008438711

OpenAI Moderation v1 (007)

Self-Harm

0.0001824361

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001017252

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.25624E-5

OpenAI Moderation v1 (007)

Hate > Threatening

9.8492E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

1.2

Coleman-Liau Index

3.7

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.1

Sprache Readability Score

1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

With regard to how a case is handled, there are two theories. One is that you require the defendant to admit that he is guilty and actually plead guilty and withhold adjudication of the guilty plea pending successful completion of the drug court, the post-conviction, post- adjudication -- post-conviction, post-plea, I guess is the right word -- way of handling it, and the other would be to simply move them into a diversion from criminal justice without a requirement of a plea and to go through this drug court program of treatment and monitoring.

Sentiment

Loughran McDonald (Relative)

-0.84615

Very Negative

Loughran McDonald (Absolute)

-0.84615

Very Negative

Loughran McDonald (Logit)

-2.12026

Harvard-IV (Relative)

0.2

Leans Positive

Harvard-IV (Absolute)

0.2

Leans Positive

Harvard-IV (Logit)

0.37949

VADER

-0.422

Negative

Moderation

Violence > Graphic

0.0021699407

OpenAI Moderation v1 (007)

Sexual

0.0020232776

OpenAI Moderation v1 (007)

Violence

0.001968443

OpenAI Moderation v1 (007)

Harassment

0.0012377761

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012284589

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003580848

OpenAI Moderation v1 (007)

Hate

0.0002869514

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.000180785

OpenAI Moderation v1 (007)

Self-Harm

0.0001694165

OpenAI Moderation v1 (007)

Hate > Threatening

4.87746E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.76524E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

29.5

Gunning-Fog Score

19

Coleman-Liau Index

11.6

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

34

Sprache Difficult Word Count

29

Jeff Sessions

Does the Department of Justice recommend one or the other of those programs at this 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

0.71

Very Positive

Moderation

Harassment

0.0048654463

OpenAI Moderation v1 (007)

Violence > Graphic

0.0045922425

OpenAI Moderation v1 (007)

Violence

0.0040699044

OpenAI Moderation v1 (007)

Hate

0.0037780901

OpenAI Moderation v1 (007)

Sexual

0.0028349768

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004627164

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002024935

OpenAI Moderation v1 (007)

Self-Harm

3.96477E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.06224E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.1113E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.891E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.6

Flesch-Kincaid Ease

69

Gunning-Fog Score

8.9

Coleman-Liau Index

11.1

SMOG Index

11.3

Automated Readability Index

8.1

Dale-Chall Readability Score

4.7

Sprache Readability Score

2.9

Dale-Chall Difficult Word Score

4

Sprache Difficult Word Count

4

Mary Leary

We leave it up to the individual courts to determine what works best for them, but what we do is we provide information about the various models and how well they work in different settings, and at this time, I think better than half of the drug courts in operation use what you might describe as kind of a post-adjudication model. Some use kind of a hybrid pre- and post-adjudication, and some use something else altogether.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.60944

Harvard-IV (Relative)

0.81818

Very Positive

Harvard-IV (Absolute)

0.81818

Very Positive

Harvard-IV (Logit)

1.94591

VADER

0.84

Very Positive

Moderation

Violence

0.0923826476

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0554542057

OpenAI Moderation v1 (007)

Self-Harm

0.0398630684

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0334782817

OpenAI Moderation v1 (007)

Harassment

0.0284680194

OpenAI Moderation v1 (007)

Sexual

0.0089521869

OpenAI Moderation v1 (007)

Violence > Graphic

0.0018939141

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.00116386

OpenAI Moderation v1 (007)

Hate

0.0004130188

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002945698

OpenAI Moderation v1 (007)

Hate > Threatening

9.40686E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

41.4

Gunning-Fog Score

19

Coleman-Liau Index

9.9

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

4.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

14

Sprache Difficult Word Count

16

Mary Leary

So we have seen a trend towards the post-adjudication model.

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

0.0199196598

OpenAI Moderation v1 (007)

Sexual

0.01327668

OpenAI Moderation v1 (007)

Self-Harm

0.0079593498

OpenAI Moderation v1 (007)

Violence > Graphic

0.007443205

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0039311682

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013458207

OpenAI Moderation v1 (007)

Harassment

0.0011822127

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0004762727

OpenAI Moderation v1 (007)

Hate

0.0004255134

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000416608

OpenAI Moderation v1 (007)

Hate > Threatening

4.84927E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.9

Flesch-Kincaid Ease

64.9

Gunning-Fog Score

8

Coleman-Liau Index

10.4

SMOG Index

9

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

Jeff Sessions

It always struck me that that made more sense, because you end up 2 years down the road, and the witnesses are gone, the evidence has been lost, the person totally rejects the drug court, and you have got to figure out how to try the case.

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

-0.776

Very Negative

Moderation

Violence

0.0272706558

OpenAI Moderation v1 (007)

Harassment

0.0086793458

OpenAI Moderation v1 (007)

Sexual

0.0065631852

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0024672081

OpenAI Moderation v1 (007)

Hate

0.001257003

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.000969238

OpenAI Moderation v1 (007)

Self-Harm

0.000448257

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004348603

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003750331

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001839069

OpenAI Moderation v1 (007)

Hate > Threatening

4.34032E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

56.5

Gunning-Fog Score

19

Coleman-Liau Index

7.5

SMOG Index

11.3

Automated Readability Index

12

Dale-Chall Readability Score

4.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

8

Mary Leary

I have been in that courtroom.

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

0.0829856435

OpenAI Moderation v1 (007)

Violence

0.0439014344

OpenAI Moderation v1 (007)

Violence > Graphic

0.0211901293

OpenAI Moderation v1 (007)

Harassment

0.010710457

OpenAI Moderation v1 (007)

Sexual > Minors

0.0052307412

OpenAI Moderation v1 (007)

Hate

0.0027803226

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0026731755

OpenAI Moderation v1 (007)

Self-Harm

0.0002122443

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.18177E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.51839E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.7469E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.5

Flesch-Kincaid Ease

100

Gunning-Fog Score

2.4

Coleman-Liau Index

7.7

SMOG Index

3.3

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

Jeff Sessions

Whereas, if he successfully completes it, it is easy to -- what do you call it? -- not adjudicate guilt and dismiss the plea.

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

0.752

Very Positive

Moderation

Sexual

0.008126258

OpenAI Moderation v1 (007)

Violence

0.0044206892

OpenAI Moderation v1 (007)

Harassment

0.0009338959

OpenAI Moderation v1 (007)

Hate

0.0008773755

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003935462

OpenAI Moderation v1 (007)

Self-Harm

0.0003496913

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003196795

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001938432

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.9541E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.69613E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.324E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.9

Flesch-Kincaid Ease

72.6

Gunning-Fog Score

8

Coleman-Liau Index

9.3

SMOG Index

9

Automated Readability Index

4.2

Dale-Chall Readability Score

5.6

Sprache Readability Score

2.6

Dale-Chall Difficult Word Score

7

Sprache Difficult Word Count

7

Jeff Sessions

Senator Biden, I will turn it over to you.

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

0.0230521677

OpenAI Moderation v1 (007)

Harassment

0.0145854923

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0122641024

OpenAI Moderation v1 (007)

Sexual

0.0043880842

OpenAI Moderation v1 (007)

Sexual > Minors

0.0018584382

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015023931

OpenAI Moderation v1 (007)

Self-Harm

0.0009181354

OpenAI Moderation v1 (007)

Hate

0.0006828852

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.74452E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.37984E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.841E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5

Flesch-Kincaid Ease

75.5

Gunning-Fog Score

3.6

Coleman-Liau Index

5.1

SMOG Index

9

Automated Readability Index

0

Dale-Chall Readability Score

4

Sprache Readability Score

1.9

Dale-Chall Difficult Word Score

2

Sprache Difficult Word Count

2

Joe Biden

Thank you, Mr. Chairman. I agree with you that the evaluation of the program would be useful for a whole lot of reasons, but as my grandfather would say, I don't want -- I want the horse to be able to carry the sleigh here, and to do the kind of genuine evaluation that leads to discussion of recidivism, based on rearrest, recidivism based on not arrest but use of drugs, the question of whether or not someone is drug free, for how long. These are all fairly difficult to measure.

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

0.66667

Very Positive

Harvard-IV (Absolute)

0.66667

Very Positive

Harvard-IV (Logit)

1.43508

VADER

0.719

Very Positive

Moderation

Sexual

0.0501825591

OpenAI Moderation v1 (007)

Violence > Graphic

0.0020268579

OpenAI Moderation v1 (007)

Violence

0.0020175779

OpenAI Moderation v1 (007)

Harassment

0.0017586703

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0011891452

OpenAI Moderation v1 (007)

Self-Harm

0.0005958007

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003024989

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000248547

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001777847

OpenAI Moderation v1 (007)

Hate

0.0001412761

OpenAI Moderation v1 (007)

Hate > Threatening

1.8116E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.4

Flesch-Kincaid Ease

60.9

Gunning-Fog Score

12.6

Coleman-Liau Index

8.9

SMOG Index

11.3

Automated Readability Index

9.5

Dale-Chall Readability Score

4.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

18

Sprache Difficult Word Count

22

Joe Biden

I just want to make sure everybody understands. When we passed this the first time, I did not advertise it to be a cure-all of anything. I advertised it as we were taking a low risk at a minimum to save big money with the prospect and hope that it would impact upon future drug use and recidivism, but that was not the promise of the program. So I want to make it clear I don't want to set a new bar for whether or not this program is working or not working. That is just me speaking.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.77778

Very Positive

Harvard-IV (Absolute)

0.77778

Very Positive

Harvard-IV (Logit)

1.7346

VADER

0.784

Very Positive

Moderation

Violence > Graphic

0.1534086652

OpenAI Moderation v1 (007)

Violence

0.0875284662

OpenAI Moderation v1 (007)

Sexual

0.0743523939

OpenAI Moderation v1 (007)

Sexual > Minors

0.0055549335

OpenAI Moderation v1 (007)

Harassment

0.0022855771

OpenAI Moderation v1 (007)

Self-Harm

0.0002521145

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002116097

OpenAI Moderation v1 (007)

Hate

0.0002063296

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.86671E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.11219E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.4861E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.7

Flesch-Kincaid Ease

74.8

Gunning-Fog Score

10.7

Coleman-Liau Index

6.7

SMOG Index

10

Automated Readability Index

6.5

Dale-Chall Readability Score

3.5

Sprache Readability Score

4.9

Dale-Chall Difficult Word Score

16

Sprache Difficult Word Count

23

Joe Biden

But the second point I want to raise with you is that before you so quickly commit another administration to this thorough study, I think it is important that somehow you get to us a written response that indicates with some specificity what you are suggesting you are willing to study or likely to study. For example, in many States, they don't even have computerized criminal records within the State. Within the State. And so the knowledge that you would know whether or not there was a rearrest is de minimis in some States.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.06667

Neutral

Harvard-IV (Absolute)

0.06667

Neutral

Harvard-IV (Logit)

0.12516

VADER

-0.318

Somewhat Negative

Moderation

Violence

0.0140638003

OpenAI Moderation v1 (007)

Sexual

0.0132944289

OpenAI Moderation v1 (007)

Sexual > Minors

0.0067262132

OpenAI Moderation v1 (007)

Harassment

0.0040520434

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0032282627

OpenAI Moderation v1 (007)

Hate

0.0009425758

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007909715

OpenAI Moderation v1 (007)

Self-Harm

0.0002746895

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.61235E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.3855E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.5981E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.4

Flesch-Kincaid Ease

55.2

Gunning-Fog Score

14.5

Coleman-Liau Index

10.9

SMOG Index

12

Automated Readability Index

11.7

Dale-Chall Readability Score

4.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

18

Sprache Difficult Word Count

24

Joe Biden

And so what I am concerned about is if we come along after your study, and you find out that you say we can't give you an accurate, a definitive picture of rearrest rates, recidivism, then we are in a circumstance where if we make that a mandatory requirement of the program, we are going to be imposing on the States an incredibly expensive burden of, you know, computing. Now, I wish they were like my State and small enough and enlightened enough to get ahead of the curve, but it is easy for us with 750,000 people to do this, compared to States with 10 to 32 million people.

Sentiment

Loughran McDonald (Relative)

0.33333

Somewhat Positive

Loughran McDonald (Absolute)

0.33333

Somewhat Positive

Loughran McDonald (Logit)

0.51083

Harvard-IV (Relative)

0.2

Leans Positive

Harvard-IV (Absolute)

0.2

Leans Positive

Harvard-IV (Logit)

0.37949

VADER

0.751

Very Positive

Moderation

Violence

0.1179692452

OpenAI Moderation v1 (007)

Harassment

0.0648865651

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0152756824

OpenAI Moderation v1 (007)

Sexual

0.01003859

OpenAI Moderation v1 (007)

Hate

0.0053065261

OpenAI Moderation v1 (007)

Violence > Graphic

0.0043336848

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008401596

OpenAI Moderation v1 (007)

Self-Harm

0.0004506475

OpenAI Moderation v1 (007)

Hate > Threatening

5.98127E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.35837E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.4068E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

35.4

Gunning-Fog Score

19

Coleman-Liau Index

7.9

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

5.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

17

Sprache Difficult Word Count

23

Joe Biden

And so the second point I would make is that it is pretty important to know what is the baseline from which you are starting to monitor accurately future drug use or post-drug court drug use with or without arrest. It requires a lot of testing, and so if that is the measure, that is a very different measure. You could have someone -- I mean, we all know a whole hell of a lot of addicts who never get arrested or drug users who never get arrested, and so I just think it is very important you and the Department are very specific about what is it you think we should be -- you should be tasked to do relative to studies, and I would love all this information. What I don't want to do is set a bar, and then you all come back to us and say, by the way, you know, we need an extra $220 million, or we need X, Y, Z, or that you have to not fund as many drug courts in the future because you are funding the studies.

Sentiment

Loughran McDonald (Relative)

-0.6

Very Negative

Loughran McDonald (Absolute)

-0.6

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.21429

Slightly Positive

Harvard-IV (Absolute)

0.21429

Slightly Positive

Harvard-IV (Logit)

0.41985

VADER

0.803

Very Positive

Moderation

Violence

0.2521005692

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0859943859

OpenAI Moderation v1 (007)

Harassment

0.0503909483

OpenAI Moderation v1 (007)

Hate

0.0151010972

OpenAI Moderation v1 (007)

Sexual

0.0077389705

OpenAI Moderation v1 (007)

Violence > Graphic

0.0045364934

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007769931

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001769118

OpenAI Moderation v1 (007)

Self-Harm

9.73626E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.54414E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.7198E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

50.5

Gunning-Fog Score

19

Coleman-Liau Index

6.4

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

4.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

26

Sprache Difficult Word Count

29

Joe Biden

Do you follow me?

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

0.0983342994

OpenAI Moderation v1 (007)

Harassment

0.0855397491

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0268749427

OpenAI Moderation v1 (007)

Sexual

0.0162078097

OpenAI Moderation v1 (007)

Hate

0.0116774165

OpenAI Moderation v1 (007)

Violence > Graphic

0.0066323992

OpenAI Moderation v1 (007)

Sexual > Minors

0.0063624102

OpenAI Moderation v1 (007)

Hate > Threatening

0.0004196349

OpenAI Moderation v1 (007)

Self-Harm

0.0003177955

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.10747E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.6025E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.7

Flesch-Kincaid Ease

97

Gunning-Fog Score

1.6

Coleman-Liau Index

3.3

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.2

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Mary Leary

Exactly.

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

0.0242534661

OpenAI Moderation v1 (007)

Sexual

0.0179316179

OpenAI Moderation v1 (007)

Violence > Graphic

0.0082278828

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0041852469

OpenAI Moderation v1 (007)

Harassment

0.0030806106

OpenAI Moderation v1 (007)

Sexual > Minors

0.000739098

OpenAI Moderation v1 (007)

Hate

0.0003433735

OpenAI Moderation v1 (007)

Self-Harm

1.15021E-5

OpenAI Moderation v1 (007)

Hate > Threatening

6.136E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.1343E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.843E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

0

Gunning-Fog Score

0.4

Coleman-Liau Index

12

SMOG Index

9

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

0.9

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Joe Biden

So I would really like to know, and I fully agree with the objective of the chairman. I sincerely mean that, but I would just make sure we better be counting, you know, understand what we are doing so we don't -- so the Senator and I, if we are still here, or whether we are not, someone else who has this committee later says, Well, wait a minute now, you all didn't do this study, this program can't mean much, or, you know, the study says this, and therefore the program doesn't work. I mean, specificity is pretty important.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0.69231

Very Positive

Harvard-IV (Absolute)

0.69231

Very Positive

Harvard-IV (Logit)

1.52606

VADER

0.963

Very Positive

Moderation

Violence

0.023207198

OpenAI Moderation v1 (007)

Sexual

0.0102917358

OpenAI Moderation v1 (007)

Sexual > Minors

0.0091400434

OpenAI Moderation v1 (007)

Harassment

0.0088382018

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0084524421

OpenAI Moderation v1 (007)

Violence > Graphic

0.0029570372

OpenAI Moderation v1 (007)

Hate

0.0013224121

OpenAI Moderation v1 (007)

Self-Harm

0.0003037735

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001371321

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.77858E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.90794E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

57.1

Gunning-Fog Score

16.8

Coleman-Liau Index

8.2

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

3.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

19

Jeff Sessions

Senator Biden, I just was reminded that there is an objection from your side to committees -- we have got until 11:30 a.m. We have got a couple of judges.

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

0.0116141739

OpenAI Moderation v1 (007)

Sexual

0.0112898961

OpenAI Moderation v1 (007)

Harassment

0.0042574447

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017080756

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010966554

OpenAI Moderation v1 (007)

Hate

0.0005058261

OpenAI Moderation v1 (007)

Self-Harm

0.0004888288

OpenAI Moderation v1 (007)

Violence > Graphic

0.0001376229

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.02785E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.5843E-6

OpenAI Moderation v1 (007)

Hate > Threatening

6.685E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

4

Flesch-Kincaid Ease

84.5

Gunning-Fog Score

8

Coleman-Liau Index

5.8

SMOG Index

9.9

Automated Readability Index

1.1

Dale-Chall Readability Score

3.6

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

6

Sprache Difficult Word Count

7

Joe Biden

I will withhold any more questions, or I will do it in writing.

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

Neutral

Moderation

Sexual

0.0839615066

OpenAI Moderation v1 (007)

Sexual > Minors

0.0281657587

OpenAI Moderation v1 (007)

Violence

0.0195540604

OpenAI Moderation v1 (007)

Harassment

0.0079853962

OpenAI Moderation v1 (007)

Violence > Graphic

0.0057029712

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0017216034

OpenAI Moderation v1 (007)

Hate

0.0004780638

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.4679E-5

OpenAI Moderation v1 (007)

Self-Harm

4.31121E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.7291E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.5703E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.8

Flesch-Kincaid Ease

76.5

Gunning-Fog Score

8.3

Coleman-Liau Index

6.4

SMOG Index

9

Automated Readability Index

2.8

Dale-Chall Readability Score

1.9

Sprache Readability Score

2.5

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

3

Mary Leary

The points are very well taken on that.

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

0.332

Somewhat Positive

Moderation

Sexual

0.0607505674

OpenAI Moderation v1 (007)

Sexual > Minors

0.0528006116

OpenAI Moderation v1 (007)

Violence

0.004570969

OpenAI Moderation v1 (007)

Harassment

0.0019884179

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006023377

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003054308

OpenAI Moderation v1 (007)

Hate

0.0002351533

OpenAI Moderation v1 (007)

Self-Harm

4.81962E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.54182E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.1095E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.323E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

2.3

Flesch-Kincaid Ease

93

Gunning-Fog Score

3.2

Coleman-Liau Index

7

SMOG Index

3.3

Automated Readability Index

0.8

Dale-Chall Readability Score

0.4

Sprache Readability Score

1.7

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Joe Biden

I agree with you. Let us move on.

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

0.361

Somewhat Positive

Moderation

Sexual

0.1928040874

OpenAI Moderation v1 (007)

Sexual > Minors

0.0552497862

OpenAI Moderation v1 (007)

Harassment

0.0340716535

OpenAI Moderation v1 (007)

Violence

0.027903929

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0247438264

OpenAI Moderation v1 (007)

Self-Harm

0.0098366276

OpenAI Moderation v1 (007)

Violence > Graphic

0.0037089416

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0026561092

OpenAI Moderation v1 (007)

Hate

0.002311032

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0006856553

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001017412

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

2.2

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

1

Sprache Difficult Word Count

1

Jeff Sessions

All 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

Sexual

0.0258296815

OpenAI Moderation v1 (007)

Violence

0.0126471205

OpenAI Moderation v1 (007)

Sexual > Minors

0.0071329647

OpenAI Moderation v1 (007)

Harassment

0.0021211754

OpenAI Moderation v1 (007)

Violence > Graphic

0.0016979495

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005030206

OpenAI Moderation v1 (007)

Self-Harm

0.0003519141

OpenAI Moderation v1 (007)

Hate

7.38634E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.50957E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.5836E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.1282E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

7.6

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

Joe Biden

I agree with you.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.361

Somewhat Positive

Moderation

Sexual

0.0607995375

OpenAI Moderation v1 (007)

Sexual > Minors

0.012376743

OpenAI Moderation v1 (007)

Violence

0.0078405283

OpenAI Moderation v1 (007)

Harassment

0.0042781481

OpenAI Moderation v1 (007)

Hate

0.002801423

OpenAI Moderation v1 (007)

Self-Harm

0.0007408849

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003225585

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001839125

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.36395E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.92038E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.8768E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0.7

Flesch-Kincaid Ease

97

Gunning-Fog Score

1.6

Coleman-Liau Index

3.3

SMOG Index

3.3

Automated Readability Index

0

Dale-Chall Readability Score

0.2

Sprache Readability Score

1.2

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

1

Jeff Sessions

Thank you, Ms. Leary. I appreciate that, and we will probably submit some other questions and we would like to be partners with you in improving this program. I do believe there is good in drug courts, and obviously we are spending an increasing amount of money on them. If we can identify the very best parts and the very best courts and replicate that, we will do a service to the country.

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

0.97

Very Positive

Moderation

Violence

0.1193732372

OpenAI Moderation v1 (007)

Sexual

0.0174797984

OpenAI Moderation v1 (007)

Harassment

0.0056976987

OpenAI Moderation v1 (007)

Violence > Graphic

0.0038969814

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0020455442

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013727438

OpenAI Moderation v1 (007)

Hate

0.0008847696

OpenAI Moderation v1 (007)

Self-Harm

0.0001913225

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.92072E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.89256E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.4347E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

7.1

Flesch-Kincaid Ease

70.3

Gunning-Fog Score

10.2

Coleman-Liau Index

9.2

SMOG Index

10.5

Automated Readability Index

5.9

Dale-Chall Readability Score

3.5

Sprache Readability Score

3.7

Dale-Chall Difficult Word Score

13

Sprache Difficult Word Count

16

Mary Leary

Thank you.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.361

Somewhat Positive

Moderation

Violence

0.1529065426

OpenAI Moderation v1 (007)

Harassment

0.0271914178

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0140465243

OpenAI Moderation v1 (007)

Violence > Graphic

0.0125006525

OpenAI Moderation v1 (007)

Sexual

0.0084591178

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017494815

OpenAI Moderation v1 (007)

Hate

0.0013650925

OpenAI Moderation v1 (007)

Self-Harm

0.0003492138

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.46851E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.2592E-6

OpenAI Moderation v1 (007)

Hate > Threatening

6.7428E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

7.6

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

Note

[The prepared statement of Ms. Leary follows:] Prepared Statement of Hon. Mary Lou Leary Mr. Chairman and Members of the Subcommittee:

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

0.6158806384

OpenAI Moderation v1 (007)

Sexual

0.1169221243

OpenAI Moderation v1 (007)

Violence > Graphic

0.0701482524

OpenAI Moderation v1 (007)

Harassment

0.0650534406

OpenAI Moderation v1 (007)

Sexual > Minors

0.0215542939

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0050944946

OpenAI Moderation v1 (007)

Hate

0.0007845281

OpenAI Moderation v1 (007)

Self-Harm

1.53594E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.45364E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.6976E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.297E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

5.6

Flesch-Kincaid Ease

63.1

Gunning-Fog Score

1.9

Coleman-Liau Index

12

SMOG Index

6.6

Automated Readability Index

4.8

Dale-Chall Readability Score

10

Sprache Readability Score

2

Dale-Chall Difficult Word Score

9

Sprache Difficult Word Count

10

Mary Leary

I appreciate the opportunity to provide you with information about the work of the Office of Justice Programs (OJP) in preventing and controlling illegal drug use, particularly among young people. Drug prevention has long been a priority for OJP, and we currently support a wide range of initiatives to prevent and intervene in drug use, sanction and treat drug-abusing offenders, and follow up with community-based services after incarceration.

Sentiment

Loughran McDonald (Relative)

-0.55556

Very Negative

Loughran McDonald (Absolute)

-0.55556

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.33333

Somewhat Positive

Harvard-IV (Absolute)

0.33333

Somewhat Positive

Harvard-IV (Logit)

0.63599

VADER

0.802

Very Positive

Moderation

Violence

0.1253845985

OpenAI Moderation v1 (007)

Violence > Graphic

0.0064565291

OpenAI Moderation v1 (007)

Sexual

0.0042205935

OpenAI Moderation v1 (007)

Harassment

0.0021865004

OpenAI Moderation v1 (007)

Hate

0.0013956315

OpenAI Moderation v1 (007)

Sexual > Minors

0.0012353139

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011953977

OpenAI Moderation v1 (007)

Self-Harm

0.0002352033

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.11689E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.24783E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.0894E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

16.6

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

30

Sprache Difficult Word Count

29

Mary Leary

As a former state and federal prosecutor, I have seen the terrible consequences of illegal drug use and trafficking -- ruined lives, families torn apart, and communities devastated by drug-related crime. But through my experience at the United States Attorney's Office here in Washington, DC, I have also had the opportunity to see how communities -- working together with criminal jsutice, health, education, and other agencies -- can reduce illegal drug use and drug-related crime and improve opportunities for young people to grow up in an environment free from drugs, crime, and fear.

Sentiment

Loughran McDonald (Relative)

-0.4

Negative

Loughran McDonald (Absolute)

-0.4

Negative

Loughran McDonald (Logit)

-0.76214

Harvard-IV (Relative)

0.05263

Neutral

Harvard-IV (Absolute)

0.05263

Neutral

Harvard-IV (Logit)

0.10008

VADER

-0.972

Very Negative

Moderation

Violence

0.0197073008

OpenAI Moderation v1 (007)

Sexual

0.0090394446

OpenAI Moderation v1 (007)

Sexual > Minors

0.0030456593

OpenAI Moderation v1 (007)

Harassment

0.00301457

OpenAI Moderation v1 (007)

Violence > Graphic

0.002832288

OpenAI Moderation v1 (007)

Self-Harm

0.0022722181

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0021736687

OpenAI Moderation v1 (007)

Hate

0.000467059

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002354305

OpenAI Moderation v1 (007)

Hate > Threatening

7.16269E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.1308E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

11.2

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

35

Sprache Difficult Word Count

35

Mary Leary

As you may know, Mr. Chairman, I had the privilege of working with former U.S. Attorney Jay Stephens to establish the first Weed and Seed Program in the District of Columbia. That program, based in Washington's Langston-Carver neighborhood, has had remarkable success in driving out drug traffickers, closing crack houses, and making the streets safe for the families who live there. Later, working with former U.S. Attorney and now Deputy Attorney General Eric Holder, we expanded our Weed and Seed efforts to four sties in D.C.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

0.77778

Very Positive

Harvard-IV (Absolute)

0.77778

Very Positive

Harvard-IV (Logit)

1.7346

VADER

0.914

Very Positive

Moderation

Violence

0.0159149058

OpenAI Moderation v1 (007)

Violence > Graphic

0.0054699176

OpenAI Moderation v1 (007)

Harassment

0.0028629771

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0019286521

OpenAI Moderation v1 (007)

Self-Harm

0.0011585456

OpenAI Moderation v1 (007)

Sexual

0.0008932147

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005034199

OpenAI Moderation v1 (007)

Hate

0.0003127364

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001306824

OpenAI Moderation v1 (007)

Hate > Threatening

6.99722E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.51671E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

6.8

Flesch-Kincaid Ease

64.1

Gunning-Fog Score

8

Coleman-Liau Index

12

SMOG Index

10.4

Automated Readability Index

5.8

Dale-Chall Readability Score

6.1

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

32

Sprache Difficult Word Count

33

Mary Leary

OJP currently supports Weed and Seed programs in over 200 communities throughout the nation. These programs support law enforcement initiatives to weed out drug dealing, gang activity, and violent crime and seed the targeted area with educational, treatment, and social services, and employment opporutnities. Drug abuse prevention and other youth programs are essential components of many Weed and Seed programs. In addition, most Weed and Seed programs involve youth in their community crime prevention, school-based, and neighborhood cleanup efforts.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

-0.07692

Neutral

Harvard-IV (Absolute)

-0.07692

Neutral

Harvard-IV (Logit)

-0.1431

VADER

-0.898

Very Negative

Moderation

Violence

0.1239489531

OpenAI Moderation v1 (007)

Violence > Graphic

0.0083188468

OpenAI Moderation v1 (007)

Harassment

0.0077183191

OpenAI Moderation v1 (007)

Sexual

0.0068673362

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0037784397

OpenAI Moderation v1 (007)

Sexual > Minors

0.0012425566

OpenAI Moderation v1 (007)

Hate

0.0002609434

OpenAI Moderation v1 (007)

Self-Harm

1.0155E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.1162E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.704E-7

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.17E-8

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

34.3

Gunning-Fog Score

17

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

41

Sprache Difficult Word Count

35

Mary Leary

As you know, Mr. Chairman, from the Weed and Seed sites in Mobile, these programs have tremendous community and neighborhood support. In addition, their methodologies have been independently evaluated and determined to work in reducing crime and improving the vitality of neighborhoods. A National Impact Evaluation of Weed and Seed also shows that the small amount of federal funding provided to sites, and the emphasis on broad-based community participation, has stimulated sites to mobile a far greater amount of local ersources for their Weed and Seed programs, particularly for the seeding component. Our strategy in administering Weed and Seed is to provide funding and technical assistance to help communities leverage resources to sustain their efforts, and many communities have responded overwhelmingly to this challenge. We are now working to enhance Weed and Seed site data collection and evaluation capabilities, so that sites can use the results of these performance measures to further improve their programs.

Sentiment

Loughran McDonald (Relative)

0.42857

Positive

Loughran McDonald (Absolute)

0.42857

Positive

Loughran McDonald (Logit)

0.78846

Harvard-IV (Relative)

0.76

Very Positive

Harvard-IV (Absolute)

0.76

Very Positive

Harvard-IV (Logit)

1.86075

VADER

0.922

Very Positive

Moderation

Sexual

0.018596297

OpenAI Moderation v1 (007)

Violence

0.0099643519

OpenAI Moderation v1 (007)

Sexual > Minors

0.0083522078

OpenAI Moderation v1 (007)

Violence > Graphic

0.0015894077

OpenAI Moderation v1 (007)

Harassment

0.0007097346

OpenAI Moderation v1 (007)

Hate

0.0005683378

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001567965

OpenAI Moderation v1 (007)

Self-Harm

8.12328E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.40906E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.7249E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.3332E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

25.9

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

64

Sprache Difficult Word Count

58

Mary Leary

I would like to briefly describe for the Subcommittee OJP's other major drug-related initiatives in five categories; prevention, enforcement, intervention and treatment, post-incarceration supervision, and research and evaluation. Together, these initiatives constitute a comprehensive approach to the prevention of illegal drug use and the control of drug-related crime.

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

-0.557

Very Negative

Moderation

Violence

0.0189313549

OpenAI Moderation v1 (007)

Sexual

0.0065806511

OpenAI Moderation v1 (007)

Sexual > Minors

0.0043081047

OpenAI Moderation v1 (007)

Violence > Graphic

0.0012376829

OpenAI Moderation v1 (007)

Harassment

0.000919683

OpenAI Moderation v1 (007)

Self-Harm

0.0002174799

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002105942

OpenAI Moderation v1 (007)

Hate

0.0001601999

OpenAI Moderation v1 (007)

Hate > Threatening

2.76524E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.8955E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.6402E-6

OpenAI Moderation v1 (007)

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

9.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

26

Sprache Difficult Word Count

24

Mary Leary

Prevention is the first step toward ensuring the public safety, and, for that reason, is an integral component of OJP's comprehensive approach to reducing drug use and its consequences. We know, for example, that 16 percent of all jail immates and about 25 percent of property and drug offenders said they committed their offense to get money to buy drugs. At the same time, research also shows that young people who refrain from using illegal drugs before the age of 18 are likely to avoid drug problems throughout their lives. Clearly, prevention is an important key to community safety. OJP supports a broad array of initiatives designed to educate young people, their parents, and adults who work with youth about the dangers posed by drug use.

Sentiment

Loughran McDonald (Relative)

-0.75

Very Negative

Loughran McDonald (Absolute)

-0.75

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

0.31034

Somewhat Positive

Harvard-IV (Absolute)

0.31034

Somewhat Positive

Harvard-IV (Logit)

0.61904

VADER

0.153

Leans Positive

Moderation

Violence

0.0534932711

OpenAI Moderation v1 (007)

Violence > Graphic

0.0144047226

OpenAI Moderation v1 (007)

Sexual

0.008071609

OpenAI Moderation v1 (007)

Harassment

0.0011075714

OpenAI Moderation v1 (007)

Hate

0.0008985707

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0007256631

OpenAI Moderation v1 (007)

Sexual > Minors

0.0006610582

OpenAI Moderation v1 (007)

Self-Harm

7.58227E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.47178E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.405E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.8364E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

49

Gunning-Fog Score

16.1

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

42

Sprache Difficult Word Count

42

Mary Leary

As you know, Mr. Chairman, while OJP funds some drug prevention efforts directly, such as Weed and Seed, many states use OJP funds awarded through the Edward Byrne Memorial State and Local Law Enforcement Assistance (Byrne) Formula Grant and Local Law Enforcement Block Grant to support drug prevention initiatives. However, most OJP initiatives designed to prevent drug use by young people are supported through our Office of Juvenile Justice and Delinquency Prevention (OJJDP).

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.3979

Harvard-IV (Relative)

0.4

Somewhat Positive

Harvard-IV (Absolute)

0.4

Somewhat Positive

Harvard-IV (Logit)

0.76214

VADER

0.906

Very Positive

Moderation

Violence

0.0076367607

OpenAI Moderation v1 (007)

Sexual

0.0038963313

OpenAI Moderation v1 (007)

Harassment

0.0033905493

OpenAI Moderation v1 (007)

Sexual > Minors

0.0014553329

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0012839542

OpenAI Moderation v1 (007)

Hate

0.0010662492

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006971053

OpenAI Moderation v1 (007)

Self-Harm

0.0004738733

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001022114

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.65894E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.3451E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

40.8

Gunning-Fog Score

14.1

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

38

Sprache Difficult Word Count

31

Mary Leary

For example, OJJDP partners with the Office of National Drug Control Policy (ONDCP) on the Drug-Free Communities Support Program. This program supports community coalitions that engage youth, parents, media, schools, and law enforcemennt to reduce and prevent youth substance abuse. Under this program, funds have been provided to over 300 communities.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.60944

Harvard-IV (Relative)

0.77778

Very Positive

Harvard-IV (Absolute)

0.77778

Very Positive

Harvard-IV (Logit)

1.7346

VADER

0.361

Somewhat Positive

Moderation

Violence

0.0190037332

OpenAI Moderation v1 (007)

Harassment

0.0096614494

OpenAI Moderation v1 (007)

Hate

0.0053412215

OpenAI Moderation v1 (007)

Violence > Graphic

0.0026988109

OpenAI Moderation v1 (007)

Sexual

0.0019218292

OpenAI Moderation v1 (007)

Self-Harm

0.0017419847

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008051832

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004716789

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001578672

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.88884E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.1095E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

39.6

Gunning-Fog Score

12.3

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.4

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

28

Sprache Difficult Word Count

25

Mary Leary

OJJDP also supports the Drug Prevention Program for Youth. This school-based program provides Life Skills Training to youth to enable them to resist pressure to use drugs. The program also tests and demonstrates promising drug prevention strategies to reach children in grade school, middle school, and high school and develop a comprehensive, strategic approach for replicating model drug prevention programs for youth.

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.94444

VADER

0.625

Very Positive

Moderation

Violence

0.0553506776

OpenAI Moderation v1 (007)

Harassment

0.0222805829

OpenAI Moderation v1 (007)

Hate

0.0094147072

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0022388886

OpenAI Moderation v1 (007)

Violence > Graphic

0.0019308365

OpenAI Moderation v1 (007)

Sexual

0.0005760251

OpenAI Moderation v1 (007)

Self-Harm

0.0002926319

OpenAI Moderation v1 (007)

Sexual > Minors

6.33617E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.22802E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.34286E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.0149E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

11.9

Flesch-Kincaid Ease

47.2

Gunning-Fog Score

14.7

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

32

Sprache Difficult Word Count

25

Mary Leary

Drug prevention also is an importannt component of many other programs OJJDP supports. Under the Safe Schools, Healthy Students Initiative, OJJDP -- in partnership with the Department of Education and Health and Human Services -- last year provided more than $100 million to 54 communities to design comprehensive, community-based programs to prevent aggressive behavior and drug and alcohol abuse by young people. The programm involves a partnership among educational, mental health, social service, law enforcement, and juvenile justice agencies.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

0.4

Somewhat Positive

Harvard-IV (Absolute)

0.4

Somewhat Positive

Harvard-IV (Logit)

0.80235

VADER

0.778

Very Positive

Moderation

Violence

0.0141632656

OpenAI Moderation v1 (007)

Violence > Graphic

0.0025096881

OpenAI Moderation v1 (007)

Harassment

0.0016182379

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008572933

OpenAI Moderation v1 (007)

Sexual

0.0004024434

OpenAI Moderation v1 (007)

Self-Harm

0.0001371248

OpenAI Moderation v1 (007)

Hate

0.0001292536

OpenAI Moderation v1 (007)

Sexual > Minors

6.60064E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.8764E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.8612E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.16E-7

OpenAI Moderation v1 (007)

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

8.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

37

Sprache Difficult Word Count

37

Mary Leary

OJJDP and BJA also support Boys & Girls Clubs of America (BGCA), which operates facilities where young people can participate in positive recreational, educational, and social activities. Through its Smart Moves program, BGCA helps local clubs provide drug and alcohol prevention programming for youth. In addition, drug abuse prevention is an objective of the Juvenile Mentoring Program (JUMP), which pairs at- risk youth with adult role models to prevent drug use and deliqneucy and to improve school work and life skills. Through these and other efforts, OJP is working to deter young people from illegal drug use.

Sentiment

Loughran McDonald (Relative)

-0.55556

Very Negative

Loughran McDonald (Absolute)

-0.55556

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.47368

Positive

Harvard-IV (Absolute)

0.47368

Positive

Harvard-IV (Logit)

0.9694

VADER

0.572

Very Positive

Moderation

Violence

0.0368288456

OpenAI Moderation v1 (007)

Harassment

0.0196496403

OpenAI Moderation v1 (007)

Sexual > Minors

0.0178282702

OpenAI Moderation v1 (007)

Sexual

0.0122618338

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0055837725

OpenAI Moderation v1 (007)

Violence > Graphic

0.0030880932

OpenAI Moderation v1 (007)

Hate

0.0024349976

OpenAI Moderation v1 (007)

Self-Harm

0.0002185402

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001446115

OpenAI Moderation v1 (007)

Self-Harm > Instructions

7.1693E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.324E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

44.4

Gunning-Fog Score

15.9

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

45

Sprache Difficult Word Count

41

Mary Leary

Enforcement programs are another critical component of OJP's comprehensive effort to prevent illegal drug use and to help states and local communities enforce drug laws. Of the approximately $900 million in program funding that OJP certifies to ONDCP as drug-related, two- thirds of these funds are for enforcement initiatives. For example, states use approximately 40 percent of funds awarded under the Byrne Formula Grant Program to support multi-jurisdictional law enforcement task forces that target drug trafficking.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.19722

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0.7

Very Positive

Moderation

Violence

0.0311956072

OpenAI Moderation v1 (007)

Harassment

0.0110663605

OpenAI Moderation v1 (007)

Sexual

0.0070078233

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0053758784

OpenAI Moderation v1 (007)

Hate

0.0049480412

OpenAI Moderation v1 (007)

Self-Harm

0.0047890815

OpenAI Moderation v1 (007)

Violence > Graphic

0.001547053

OpenAI Moderation v1 (007)

Sexual > Minors

0.0011690795

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001346524

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001298817

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.47279E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

28.6

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

42

Sprache Difficult Word Count

37

Mary Leary

As you know, Mr. Chairman, the Byrne program was created by the Anti-Drug Abuse Act of 1988 specifically to help states enforce state and local drug laws. In providing guidance to states on their use of Byrne funds, BJA emphasizes controlling violent and drug-related crime and serious offenders through multi-jurisdictional and multi-state efforts to support national drug control priorities.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.3979

Harvard-IV (Relative)

0.07692

Neutral

Harvard-IV (Absolute)

0.07692

Neutral

Harvard-IV (Logit)

0.1431

VADER

-0.84

Very Negative

Moderation

Harassment

0.0440280448

OpenAI Moderation v1 (007)

Violence

0.0413564383

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0140626609

OpenAI Moderation v1 (007)

Violence > Graphic

0.0056055458

OpenAI Moderation v1 (007)

Sexual

0.0025823976

OpenAI Moderation v1 (007)

Hate

0.0025235309

OpenAI Moderation v1 (007)

Self-Harm

0.0012420234

OpenAI Moderation v1 (007)

Sexual > Minors

0.0008770125

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.000425789

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002175241

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.04801E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

45.9

Gunning-Fog Score

15.4

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

34

Sprache Difficult Word Count

31

Mary Leary

Funds awarded to states and localities under BJA's Local Law Enforcement Block Grant (LLEBG) Program also may be used for drug enforcement efforts. LLEBG funds may be used to hire law enforcement officers, pay overtime, procure equipment, enhance school security, create drug courts, adjudicate violent offenders, establish multi- jurisdictional law enforcement task forces, and support crime prevention programs. State and local jurisdictions determine how they will use their LLEBG funds.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.29928

Harvard-IV (Relative)

0.11111

Leans Positive

Harvard-IV (Absolute)

0.11111

Leans Positive

Harvard-IV (Logit)

0.21131

VADER

-0.422

Negative

Moderation

Violence

0.1226467313

OpenAI Moderation v1 (007)

Sexual

0.1132157515

OpenAI Moderation v1 (007)

Violence > Graphic

0.0273411541

OpenAI Moderation v1 (007)

Sexual > Minors

0.0155564674

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0050580482

OpenAI Moderation v1 (007)

Harassment

0.0035103603

OpenAI Moderation v1 (007)

Self-Harm

0.002127494

OpenAI Moderation v1 (007)

Hate

0.0004891674

OpenAI Moderation v1 (007)

Hate > Threatening

0.0003022881

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.44993E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.2646E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

28.5

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

5

Dale-Chall Difficult Word Score

39

Sprache Difficult Word Count

36

Mary Leary

BJA also is helping local jurisdictions safely investigate and close down clandestine drug laboratories. These labs illegally manufacture controlled substances, often endangering the nearby neighborhood and the officers who investigate the labs, as well as increasing the availability of illegal drugs. For example, under a BJA grant, the National Sheriffs' Association provides training and technical assistance to state and local law enforcement and regulatory personnel on safe methods for investigating and cleaning up illegal drug labs.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.70805

Harvard-IV (Relative)

0.28571

Slightly Positive

Harvard-IV (Absolute)

0.28571

Slightly Positive

Harvard-IV (Logit)

0.54654

VADER

0.572

Very Positive

Moderation

Violence

0.0277165003

OpenAI Moderation v1 (007)

Harassment

0.0088812136

OpenAI Moderation v1 (007)

Sexual

0.0072771778

OpenAI Moderation v1 (007)

Self-Harm

0.006681629

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0054784108

OpenAI Moderation v1 (007)

Violence > Graphic

0.0046568497

OpenAI Moderation v1 (007)

Sexual > Minors

0.00226415

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0013449456

OpenAI Moderation v1 (007)

Hate

0.00116393

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001464693

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001448257

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

8.6

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

41

Sprache Difficult Word Count

37

Mary Leary

Intervention and treatment are important linchpins of OJP's comprehensive drug control initiative. Research has shown that combining criminal justice sanctions with substance abuse treatment is highly effective in breaking the cycle of drug use and crime. Many studies have demonstrated the effectiveness of treatment, particularly treatment in prison or other long-term residential settings followed by aftercare treatment in the community. OJP administers several major initiatives that combine drug treatment with criminal justice sanctions and incentives for good behavior.

Sentiment

Loughran McDonald (Relative)

-0.42857

Negative

Loughran McDonald (Absolute)

-0.42857

Negative

Loughran McDonald (Logit)

-0.78846

Harvard-IV (Relative)

-0.14286

Leans Negative

Harvard-IV (Absolute)

-0.14286

Leans Negative

Harvard-IV (Logit)

-0.26826

VADER

-0.233

Slightly Negative

Moderation

Violence

0.1064238022

OpenAI Moderation v1 (007)

Harassment

0.0196590481

OpenAI Moderation v1 (007)

Sexual

0.0133477908

OpenAI Moderation v1 (007)

Violence > Graphic

0.0104904888

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0076605596

OpenAI Moderation v1 (007)

Self-Harm

0.0057828343

OpenAI Moderation v1 (007)

Sexual > Minors

0.0035631438

OpenAI Moderation v1 (007)

Hate

0.0025304736

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002953084

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001775566

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.000119189

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

17.6

Gunning-Fog Score

18.5

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

44

Sprache Difficult Word Count

38

Mary Leary

One of the most widespread and effective programs is drug courts. Drug courts use a "carrot and stick" approach. Intensive supervision and sanctions are combined with the prospect of reduced charges or shorter sentences for offenders who successfully complete treatment. Although drug courts vary among communities, such courts typically involve active participation by judges, regular drug testing of offenders, and prompt, graduated sanctions. Drug courts use a partnership approach that integrates drug treatment with other health and social services. As an alternative to traditional incarceration or probation, drug courts are an effective means to reduce drug use and recidivism and are less costly than traditional supervision.

Sentiment

Loughran McDonald (Relative)

-0.11111

Leans Negative

Loughran McDonald (Absolute)

-0.11111

Leans Negative

Loughran McDonald (Logit)

-0.20067

Harvard-IV (Relative)

0.36

Somewhat Positive

Harvard-IV (Absolute)

0.36

Somewhat Positive

Harvard-IV (Logit)

0.72213

VADER

0.82

Very Positive

Moderation

Violence

0.0901853549

OpenAI Moderation v1 (007)

Sexual > Minors

0.0236361957

OpenAI Moderation v1 (007)

Violence > Graphic

0.0170733692

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0136675008

OpenAI Moderation v1 (007)

Sexual

0.0092916431

OpenAI Moderation v1 (007)

Self-Harm

0.0081708597

OpenAI Moderation v1 (007)

Harassment

0.0052907559

OpenAI Moderation v1 (007)

Hate

0.0029358172

OpenAI Moderation v1 (007)

Hate > Threatening

0.0024803408

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.23494E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.68283E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

32.5

Gunning-Fog Score

16.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

52

Sprache Difficult Word Count

44

Mary Leary

In 1994, the Violent Crime Control and Law Enforcement Act (Crime Act) authorized a new Drug Courts Grant Program in the Department of Justice. To administer this new grant program, the Drug Courts Program Office (DCPO) was created within OJP. Since 1995, DCPO has awarded more than $125 million to support the planning, implementation, or enhancement of drug courts in over 600 local communities.

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

0.2

Leans Positive

Harvard-IV (Absolute)

0.2

Leans Positive

Harvard-IV (Logit)

0.36772

VADER

0.599

Very Positive

Moderation

Violence

0.0248474214

OpenAI Moderation v1 (007)

Harassment

0.0037092672

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0026265829

OpenAI Moderation v1 (007)

Violence > Graphic

0.0014479308

OpenAI Moderation v1 (007)

Sexual

0.0010688342

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002691701

OpenAI Moderation v1 (007)

Hate

0.0001443138

OpenAI Moderation v1 (007)

Self-Harm

0.0001227212

OpenAI Moderation v1 (007)

Hate > Threatening

2.99203E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.0514E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.814E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.4

Flesch-Kincaid Ease

58.3

Gunning-Fog Score

12.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

11.8

Dale-Chall Readability Score

8.2

Sprache Readability Score

5

Dale-Chall Difficult Word Score

29

Sprache Difficult Word Count

26

Mary Leary

DCPO also provides technical assistance to communities in designing, implementing, and operating drug courts. Much of this technical assistance is provided through DCPO's Drug Courts Clearinghouse at American University. The Clearinghouse provides technical assistance to DCPO grantees, conducts research, and collects and disseminates information on drug courts.

Sentiment

Loughran McDonald (Relative)

1

Very Positive

Loughran McDonald (Absolute)

1

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

1

Very Positive

Harvard-IV (Absolute)

1

Very Positive

Harvard-IV (Logit)

2.94444

VADER

0

Neutral

Moderation

Violence

0.0726540515

OpenAI Moderation v1 (007)

Harassment

0.037148493

OpenAI Moderation v1 (007)

Sexual

0.0235555897

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0183809985

OpenAI Moderation v1 (007)

Violence > Graphic

0.0106987085

OpenAI Moderation v1 (007)

Self-Harm

0.0063127918

OpenAI Moderation v1 (007)

Hate

0.0029928146

OpenAI Moderation v1 (007)

Sexual > Minors

0.0018335058

OpenAI Moderation v1 (007)

Hate > Threatening

0.0005045547

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001043678

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001022501

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

18.1

Gunning-Fog Score

17.3

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

4.3

Dale-Chall Difficult Word Score

29

Sprache Difficult Word Count

21

Mary Leary

DCPO also sponsors the mentor drug court program, through which jurisdictions establishing new drug courts have the opportunity to learn from established drug courts, thereby avoiding potential problems. In addition, DCPO sponsors regional training conferences for drug court grantees.

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

-0.318

Somewhat Negative

Moderation

Violence

0.05635813

OpenAI Moderation v1 (007)

Sexual

0.0168390034

OpenAI Moderation v1 (007)

Violence > Graphic

0.006958883

OpenAI Moderation v1 (007)

Harassment

0.0029954042

OpenAI Moderation v1 (007)

Hate

0.0022441494

OpenAI Moderation v1 (007)

Self-Harm

0.0020763497

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013646121

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011908079

OpenAI Moderation v1 (007)

Hate > Threatening

0.0005429613

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.49334E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

3.49235E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

26.5

Gunning-Fog Score

18.1

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

4.5

Dale-Chall Difficult Word Score

23

Sprache Difficult Word Count

18

Mary Leary

DCPO closely monitors the drug court programs supported with OJP funds. When problems are detected, DCPO staff step in to provide additional training and technical assistance. If problems persist, drawdowns of federal funds are prohibited until corrective measures have been taken. As a last resort, for programs that fail to take remedial measures, grant funds are rescinded.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.3979

Harvard-IV (Relative)

0.33333

Somewhat Positive

Harvard-IV (Absolute)

0.33333

Somewhat Positive

Harvard-IV (Logit)

0.63599

VADER

-0.625

Very Negative

Moderation

Violence

0.0490754261

OpenAI Moderation v1 (007)

Harassment

0.0249523553

OpenAI Moderation v1 (007)

Hate

0.0094501178

OpenAI Moderation v1 (007)

Sexual

0.0048391859

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0046817542

OpenAI Moderation v1 (007)

Violence > Graphic

0.0006466045

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003065563

OpenAI Moderation v1 (007)

Self-Harm

0.0001240566

OpenAI Moderation v1 (007)

Hate > Threatening

1.91989E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.0528E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.289E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.8

Flesch-Kincaid Ease

49.9

Gunning-Fog Score

13.4

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

11.5

Dale-Chall Readability Score

9

Sprache Readability Score

4.7

Dale-Chall Difficult Word Score

30

Sprache Difficult Word Count

28

Mary Leary

DCPO also relies on evaluations to measure drug court performance. In 1998 and again in 1999, Columbia University's National Center on Addiction and Substance Abuse (CASA) released findings from reviews of 77 drug courts. CASA reported that evaluations have shown that drug courts are effective in addressing drug abuse among nonviolent offenders, in reducing the burdens imposed on the criminal justice system by drug-related cases, and in helping offenders become law- abiding, drug-free, and self-sufficient members of their communities.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.29928

Harvard-IV (Relative)

-0.07692

Neutral

Harvard-IV (Absolute)

-0.07692

Neutral

Harvard-IV (Logit)

-0.1431

VADER

-0.898

Very Negative

Moderation

Violence

0.0267136958

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0207288496

OpenAI Moderation v1 (007)

Violence > Graphic

0.0103065257

OpenAI Moderation v1 (007)

Sexual

0.0095716467

OpenAI Moderation v1 (007)

Harassment

0.006155455

OpenAI Moderation v1 (007)

Self-Harm

0.0017368242

OpenAI Moderation v1 (007)

Sexual > Minors

0.0004392161

OpenAI Moderation v1 (007)

Hate

0.0002910466

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001665757

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001034586

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.7005E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

24.3

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.1

Sprache Readability Score

5

Dale-Chall Difficult Word Score

40

Sprache Difficult Word Count

39

Mary Leary

Among the CASA findings are the following: Compared to other treatment programs, drug courts provide more comprehensive supervision and monitoring, increase the rates of retention in treatment, and reduce drug use and criminal behavior while participants are in the drug court program. Drug use for participants while in the program remains low, as compared with similar defendants not in a drug court. CASA found that an average of 10 percent of drug tests of drug court clients were positive, compared to an average of 31 percent for similar defendants not in a drug court, but under probation supervision. Retention and graduation rates among drug court participants remain high, as compared with other outpatient treatment programs. Sixty percent of those who entered drug courts were still in treatment after 12 months, compared to 50 percent of individuals treated in outpatient programs. Recidivism for participants while in the drug court program remains low for graduates. Post-graduation recidivism rates are also low. In an evaluation of the Jefferson County, Kentucky drug court, only 13 percent of drug court graduates were convicted of a felony in the one-year following graduation, compared to 60 percent of those who failed to graduate and 55 percent of the comparison group of eligible offenders who declined to participate in the drug court program.

Sentiment

Loughran McDonald (Relative)

-0.77778

Very Negative

Loughran McDonald (Absolute)

-0.77778

Very Negative

Loughran McDonald (Logit)

-1.7346

Harvard-IV (Relative)

0.57895

Very Positive

Harvard-IV (Absolute)

0.57895

Very Positive

Harvard-IV (Logit)

1.23676

VADER

-0.951

Very Negative

Moderation

Sexual

0.0871372293

OpenAI Moderation v1 (007)

Violence

0.0462492026

OpenAI Moderation v1 (007)

Violence > Graphic

0.0350810966

OpenAI Moderation v1 (007)

Harassment

0.0124650149

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0110498797

OpenAI Moderation v1 (007)

Sexual > Minors

0.0020216823

OpenAI Moderation v1 (007)

Hate

0.0013033279

OpenAI Moderation v1 (007)

Self-Harm

0.0008818702

OpenAI Moderation v1 (007)

Hate > Threatening

0.0001916395

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.10689E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.36005E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

37.4

Gunning-Fog Score

18.2

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

89

Sprache Difficult Word Count

49

Mary Leary

Other evaluations found nondrug court clients were about twice as likely to recidivate as compared to drug court clients. In Portland, 27 percent of drug court clients were arrested for a new offense, compared to 46 percent for the comparison group. In Las Vegas, 39 percent of drug court clients were rearrested, compared to 66 percent for the control group.

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

-0.625

Very Negative

Moderation

Violence

0.0166961501

OpenAI Moderation v1 (007)

Violence > Graphic

0.0108027096

OpenAI Moderation v1 (007)

Sexual

0.0080025093

OpenAI Moderation v1 (007)

Harassment

0.0053597792

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0020760566

OpenAI Moderation v1 (007)

Hate

0.0007871354

OpenAI Moderation v1 (007)

Sexual > Minors

0.0007434131

OpenAI Moderation v1 (007)

Self-Harm

0.0002765384

OpenAI Moderation v1 (007)

Hate > Threatening

5.50736E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.51054E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.3843E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.9

Flesch-Kincaid Ease

59.6

Gunning-Fog Score

12

Coleman-Liau Index

12

SMOG Index

11.3

Automated Readability Index

10.9

Dale-Chall Readability Score

7.6

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

25

Sprache Difficult Word Count

18

Mary Leary

Drug courts can also help communities save money. For example, Denver reports savings of $2.15 million annually, and Washington, DC saves an average of $6,455 per client per year compared with the cost of incarceration. A comprehensive cost analysis of the drug court program in Portland, Oregon, found that every taxpayer dollar spent on the drug court saved $2.50 in other costs to the public. When broader cost savings were taken into account, such as costs to crime victims, the ratio of the benefit to the taxpayer was estimated at $10 saved for every $1 spent.

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

0.29412

Slightly Positive

Harvard-IV (Absolute)

0.29412

Slightly Positive

Harvard-IV (Logit)

0.57054

VADER

0.866

Very Positive

Moderation

Violence

0.0579196436

OpenAI Moderation v1 (007)

Violence > Graphic

0.027157244

OpenAI Moderation v1 (007)

Sexual

0.0149448577

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0083669154

OpenAI Moderation v1 (007)

Harassment

0.0039196348

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013708468

OpenAI Moderation v1 (007)

Self-Harm

0.0012690685

OpenAI Moderation v1 (007)

Hate

0.0003943287

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.45276E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.56048E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.43504E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

51.4

Gunning-Fog Score

15.9

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

30

Sprache Difficult Word Count

34

Mary Leary

As of June 1, 2000, there were 533 operating drug courts with another 293 in the planning stages. While drug courts originally served only adult offenders, today specialized drug courts have emerged to serve juveniles, Native Americans, families, and individuals charged with driving under the influence (DUI). More than 57,000 individuals have graduated from a drug court. More than 1,000 drug-free babies have been born to drug court participants. And over 90 percent of drug court graduates are gainfully employed.

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

-0.511

Very Negative

Moderation

Sexual

0.0250935205

OpenAI Moderation v1 (007)

Violence

0.0185486948

OpenAI Moderation v1 (007)

Violence > Graphic

0.0120475008

OpenAI Moderation v1 (007)

Harassment

0.0057956702

OpenAI Moderation v1 (007)

Sexual > Minors

0.0055891531

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0006761451

OpenAI Moderation v1 (007)

Hate

0.000404809

OpenAI Moderation v1 (007)

Self-Harm

3.76721E-5

OpenAI Moderation v1 (007)

Hate > Threatening

1.54371E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.06066E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.1539E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

9.2

Flesch-Kincaid Ease

58.5

Gunning-Fog Score

13.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

9.6

Dale-Chall Readability Score

6.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

31

Sprache Difficult Word Count

28

Mary Leary

Research also has shown a tremendous need for prison-based drug treatment. The National Center on Addiction and Substance Abuse found that 80 percent of the 1.7 million adults incarcerated at the time of its study were under the influence of drugs or alcohol when arrested, stole property to buy drugs, or had a history of drug and alcohol abuse. From prisoner surveys conducted by OJP's Bureau of Justice Statistics, we know that over 80 percent reported drug use prior to incarceration, and between 30 and 40 percent report having been under the influence of alcohol immediately prior to or during the commission of their offenses. A study by OJP's Corrections Program Office (CPO) in 1997 indicated that approximately 70 to 80 percent of all state prison inmates are in need of substance abuse treatment. However, only a fraction of the substance-abusing offenders in the nation's correctional facilities have access to treatment.

Sentiment

Loughran McDonald (Relative)

-0.81818

Very Negative

Loughran McDonald (Absolute)

-0.81818

Very Negative

Loughran McDonald (Logit)

-1.94591

Harvard-IV (Relative)

-0.15385

Leans Negative

Harvard-IV (Absolute)

-0.15385

Leans Negative

Harvard-IV (Logit)

-0.29849

VADER

-0.975

Very Negative

Moderation

Violence

0.0656645687

OpenAI Moderation v1 (007)

Sexual

0.0296814163

OpenAI Moderation v1 (007)

Violence > Graphic

0.0177642971

OpenAI Moderation v1 (007)

Sexual > Minors

0.0043775472

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0033461125

OpenAI Moderation v1 (007)

Harassment

0.0031180822

OpenAI Moderation v1 (007)

Hate

0.0009744643

OpenAI Moderation v1 (007)

Self-Harm

9.2747E-5

OpenAI Moderation v1 (007)

Hate > Threatening

4.25534E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.57133E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.9541E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

33.1

Gunning-Fog Score

18.8

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

61

Sprache Difficult Word Count

54

Mary Leary

Studies have shown a tremendous difference in recidivism rates for drug-abusing offenders who receive treatment as compared with those who do not undergo treatment. A Delaware study, for example, found that inmates who completed the state's drug treatment program were three times more likely to be drug and crime-free after 18 months than nonparticipants or those who failed to complete the program.

Sentiment

Loughran McDonald (Relative)

-0.6

Very Negative

Loughran McDonald (Absolute)

-0.6

Very Negative

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

-0.7

Very Negative

Moderation

Violence

0.0656015123

OpenAI Moderation v1 (007)

Violence > Graphic

0.0189775325

OpenAI Moderation v1 (007)

Sexual

0.0061809427

OpenAI Moderation v1 (007)

Harassment

0.0029663124

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0028599809

OpenAI Moderation v1 (007)

Hate

0.0009307119

OpenAI Moderation v1 (007)

Hate > Threatening

0.0007796331

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001786624

OpenAI Moderation v1 (007)

Self-Harm

7.51845E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.11108E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.48831E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

42.2

Gunning-Fog Score

18.4

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

24

Sprache Difficult Word Count

25

Mary Leary

To help fill the treatment gap, OJP's Residential Substance Abuse Treatment for State Prisoners (RSAT) program provides formula grants to states for substance abuse treatment programs in state or local correctional facilities. Last month, OJP awarded more than $57 million to all 50 states and eligible territories to continue to provide substance abuse treatment to state and local prisoners. Originally authorized in the 1994 Crime Act, RSAT has allowed OJP to provide more than $230 million to the states and territories since 1996.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.3979

Harvard-IV (Relative)

0.29412

Slightly Positive

Harvard-IV (Absolute)

0.29412

Slightly Positive

Harvard-IV (Logit)

0.57054

VADER

-0.955

Very Negative

Moderation

Violence

0.0280487089

OpenAI Moderation v1 (007)

Violence > Graphic

0.0093395145

OpenAI Moderation v1 (007)

Harassment

0.001226422

OpenAI Moderation v1 (007)

Sexual

0.0007182376

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003562179

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001010228

OpenAI Moderation v1 (007)

Hate

3.63459E-5

OpenAI Moderation v1 (007)

Self-Harm

2.32621E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.6981E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.3824E-6

OpenAI Moderation v1 (007)

Hate > Threatening

1.4115E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

40.1

Gunning-Fog Score

17.8

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

39

Sprache Difficult Word Count

25

Mary Leary

In implementing RSAT, states are encouraged to adopt comprehensive approaches to substance abuse testing and treatment for offenders, including relapse prevention and aftercare services. RSAT programs must last from six to 12 months, be provided in residential treatment facilities set apart from the general correctional population, focus on the substance abuse problems of the inmate, and work to develop the inmate's behavioral, social, vocational, and other skills needed to reduce substance abuse and related problems and improve the ability to remain drug and crime-free upon the offender's return to the community.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.43508

Harvard-IV (Relative)

0.04348

Neutral

Harvard-IV (Absolute)

0.04348

Neutral

Harvard-IV (Logit)

0.08338

VADER

-0.902

Very Negative

Moderation

Violence

0.0695291092

OpenAI Moderation v1 (007)

Violence > Graphic

0.0061241197

OpenAI Moderation v1 (007)

Harassment

0.0059909977

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0038062724

OpenAI Moderation v1 (007)

Sexual

0.0033339544

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003501556

OpenAI Moderation v1 (007)

Hate

0.0003040204

OpenAI Moderation v1 (007)

Hate > Threatening

1.78533E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.70769E-5

OpenAI Moderation v1 (007)

Self-Harm

1.57274E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.8677E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

1.1

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

5

Dale-Chall Difficult Word Score

45

Sprache Difficult Word Count

45

Mary Leary

Another major OJP program is Breaking the Cycle (BTC), a system- wide, coordinated program designed to reduce substance abuse and criminal activity of drug-involved offenders by combining drug treatment with criminal justice sanctions and incentives. It is based on research suggesting that early identification and assessment of drug users, followed by treatment and supervision tied to the court's coercive powers, can reduce drug use and crime. BTC's focus is on maintaining continuous treatment as the defendant moves through the justice system.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.83321

Harvard-IV (Relative)

-0.33333

Somewhat Negative

Harvard-IV (Absolute)

-0.33333

Somewhat Negative

Harvard-IV (Logit)

-0.63599

VADER

-0.836

Very Negative

Moderation

Violence

0.0486041565

OpenAI Moderation v1 (007)

Violence > Graphic

0.0206817087

OpenAI Moderation v1 (007)

Sexual

0.0194279462

OpenAI Moderation v1 (007)

Harassment

0.0036022597

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0030530693

OpenAI Moderation v1 (007)

Sexual > Minors

0.0021939928

OpenAI Moderation v1 (007)

Hate

0.0006058173

OpenAI Moderation v1 (007)

Self-Harm

0.0004108143

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.03939E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.5071E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.5142E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

26.4

Gunning-Fog Score

18.7

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

5

Dale-Chall Difficult Word Score

48

Sprache Difficult Word Count

40

Mary Leary

In 1996, OJP's National Institute of Justice (NIJ) selected Birmingham, Alabama as the first Breaking the Cycle demonstration site. In 1998, NIJ expanded the initiative to Jacksonville, Florida and Tacoma, Washington, and, in 1999, selected Lane County (Eugene), Oregon as the first Breaking the Cycle project in a juvenile justice system. Each site brings a strong collaborative framework to the initiative, which includes partners from the justice and treatment communities and the local political system. Each also has undertaken other innovative strategies to treat and monitor drug-using defendants. Each site has an active drug court and networks to promote criminal justice and treatment system coordination.

Sentiment

Loughran McDonald (Relative)

-0.33333

Somewhat Negative

Loughran McDonald (Absolute)

-0.33333

Somewhat Negative

Loughran McDonald (Logit)

-0.58779

Harvard-IV (Relative)

0.53846

Very Positive

Harvard-IV (Absolute)

0.53846

Very Positive

Harvard-IV (Logit)

1.09861

VADER

0.974

Very Positive

Moderation

Violence

0.0205623743

OpenAI Moderation v1 (007)

Sexual > Minors

0.0040202354

OpenAI Moderation v1 (007)

Violence > Graphic

0.0038280734

OpenAI Moderation v1 (007)

Sexual

0.0035651628

OpenAI Moderation v1 (007)

Harassment

0.0017737415

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0010965016

OpenAI Moderation v1 (007)

Hate

0.0005890904

OpenAI Moderation v1 (007)

Self-Harm

0.0003516454

OpenAI Moderation v1 (007)

Hate > Threatening

6.33547E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.55171E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

9.8004E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

31.3

Gunning-Fog Score

15.3

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

56

Sprache Difficult Word Count

47

Mary Leary

In fact, the court plays a critical role in each BTC project, both in offender management and in oversight of program implementation and operation. Judges are responsible for ensuring that sanctions and incentives are applied appropriately and that treatment and other services are coordinated among the various program partners.

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)

0.63599

VADER

0.44

Positive

Moderation

Violence

0.0259330031

OpenAI Moderation v1 (007)

Sexual

0.0210354279

OpenAI Moderation v1 (007)

Sexual > Minors

0.0140675547

OpenAI Moderation v1 (007)

Violence > Graphic

0.0127368476

OpenAI Moderation v1 (007)

Harassment

0.0118965494

OpenAI Moderation v1 (007)

Hate

0.0080565296

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0058185746

OpenAI Moderation v1 (007)

Self-Harm

0.0023919129

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.68826E-5

OpenAI Moderation v1 (007)

Hate > Threatening

5.36721E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.2295E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

21.4

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

20

Sprache Difficult Word Count

23

Mary Leary

Under Breaking the Cycle, Birmingham has significantly improved its handling of drug-using defendants. Substance abuse assessments that once were conducted six months after arrest are now completed within two days of arrest. The number of defendants on the project's active caseload has more than doubled from 900 a month to over 1,800, and the median length of supervision has increased from about 150 days to 232 days. Treatment also includes case management, frequent urinalysis, and other needed services. Criminal justice and service providers are now engaged in developing a seamless transition of drug treatment and supervision data from the pretrial stage to post-adjudication supervision.

Sentiment

Loughran McDonald (Relative)

-0.77778

Very Negative

Loughran McDonald (Absolute)

-0.77778

Very Negative

Loughran McDonald (Logit)

-1.7346

Harvard-IV (Relative)

0.17647

Leans Positive

Harvard-IV (Absolute)

0.17647

Leans Positive

Harvard-IV (Logit)

0.33647

VADER

0.226

Slightly Positive

Moderation

Violence > Graphic

0.0726680388

OpenAI Moderation v1 (007)

Violence

0.0476803718

OpenAI Moderation v1 (007)

Sexual

0.0184349352

OpenAI Moderation v1 (007)

Hate

0.0145478654

OpenAI Moderation v1 (007)

Sexual > Minors

0.0075647149

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0034756609

OpenAI Moderation v1 (007)

Harassment

0.0021438405

OpenAI Moderation v1 (007)

Self-Harm

0.0008714349

OpenAI Moderation v1 (007)

Hate > Threatening

0.000256421

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0001547618

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.98843E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

37.3

Gunning-Fog Score

16.8

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

45

Sprache Difficult Word Count

43

Mary Leary

Birmingham's experience as Breaking the Cycle's "pioneer site" reinforced the importance of elements such as strong system collaboration, a comprehensive management information system, and the availability of wide-ranging treatment options. The Birmingham experience also showed that Breaking the Cycle's collaborative structure can be used to address other system issues. NIJ has incorporated the lessons learned in Birmingham into its partnership with the other Breaking the Cycle sites. It also is working with site officials to transition Breaking the Cycle to other local, state, and federal funding sources. POST-INCARCERATION SUPERVISION Experience with these and other treatment programs, as well as research, have documented the need for post-incarceration supervision and follow-up treatment, or aftercare, in the community to reinforce institutional interventions. OJP is developing approaches to help offenders stay crime and drug-free when they return to their communities following incarceration. The objective of these efforts is to hold offenders accountable for their behavior, to reduce recidivism, and to increase public safety.

Sentiment

Loughran McDonald (Relative)

-0.57143

Very Negative

Loughran McDonald (Absolute)

-0.57143

Very Negative

Loughran McDonald (Logit)

-1.18958

Harvard-IV (Relative)

0.41176

Positive

Harvard-IV (Absolute)

0.41176

Positive

Harvard-IV (Logit)

0.8473

VADER

0.802

Very Positive

Moderation

Violence

0.2735428745

OpenAI Moderation v1 (007)

Sexual > Minors

0.1744486974

OpenAI Moderation v1 (007)

Sexual

0.1724821166

OpenAI Moderation v1 (007)

Harassment

0.1276377938

OpenAI Moderation v1 (007)

Hate

0.0289223186

OpenAI Moderation v1 (007)

Harassment > Threatening

0.011387909

OpenAI Moderation v1 (007)

Violence > Graphic

0.0035242738

OpenAI Moderation v1 (007)

Self-Harm

0.0010405819

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002547062

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.27527E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.04593E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

18.5

Gunning-Fog Score

17.7

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

77

Sprache Difficult Word Count

67

Mary Leary

About half a million offenders are released from prison or jail each year and return to our communities. Too often, these offenders fail to receive the close supervision, drug treatment, and other services they need. About 100,000 offenders are under no supervision, drug treatment, and other services they need. About 100,000 offenders are under no supervision at all. Mr. Chairman, as you and I know from our experience as former prosecutors, many of these offenders recidivate. In fact, we know that about two-thirds of released offenders will reoffend and be reincarcerated if they are not closely monitored to prevent recidivism and drug abuse relapse.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.94444

Harvard-IV (Relative)

-0.5

Very Negative

Harvard-IV (Absolute)

-0.5

Very Negative

Harvard-IV (Logit)

-1.03609

VADER

-0.981

Very Negative

Moderation

Violence

0.0106193365

OpenAI Moderation v1 (007)

Harassment

0.0031193194

OpenAI Moderation v1 (007)

Sexual

0.0030811396

OpenAI Moderation v1 (007)

Hate

0.0023589057

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0008436748

OpenAI Moderation v1 (007)

Violence > Graphic

0.0007591584

OpenAI Moderation v1 (007)

Self-Harm

0.0007322226

OpenAI Moderation v1 (007)

Sexual > Minors

0.0002200399

OpenAI Moderation v1 (007)

Hate > Threatening

6.5785E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.3798E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

2.1234E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.1

Flesch-Kincaid Ease

49.8

Gunning-Fog Score

14.7

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

9.3

Dale-Chall Readability Score

5.3

Sprache Readability Score

4.6

Dale-Chall Difficult Word Score

31

Sprache Difficult Word Count

26

Mary Leary

OJP has begun testing two approaches to help communities more effectively supervise offenders following incarceration. The first initiative is a reentry court, along the lines of a drug court, which supervises released offenders using judges instead of traditional parole boards. Law enforcement and correctional officers, along with treatment and service providers, set up a reentry plan, monitor offender behavior, and apply sanctions and incentives.

Sentiment

Loughran McDonald (Relative)

-0.66667

Very Negative

Loughran McDonald (Absolute)

-0.66667

Very Negative

Loughran McDonald (Logit)

-1.29928

Harvard-IV (Relative)

0.23077

Slightly Positive

Harvard-IV (Absolute)

0.23077

Slightly Positive

Harvard-IV (Logit)

0.43532

VADER

0.095

Neutral

Moderation

Violence

0.164440251

OpenAI Moderation v1 (007)

Harassment

0.0554473605

OpenAI Moderation v1 (007)

Violence > Graphic

0.0248812517

OpenAI Moderation v1 (007)

Sexual

0.0179641342

OpenAI Moderation v1 (007)

Harassment > Threatening

0.017857991

OpenAI Moderation v1 (007)

Sexual > Minors

0.0071476381

OpenAI Moderation v1 (007)

Self-Harm

0.0067205976

OpenAI Moderation v1 (007)

Hate

0.0010168291

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001264313

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.13548E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.6065E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

16

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

28

Sprache Difficult Word Count

32

Mary Leary

OJP is providing intensive technical assistance to nine state and county agencies -- including Broward County, Florida, San Francisco, and the states of Delaware, Iowa, Kentucky, and West Virginia -- to develop a variety of models for reentry courts.

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

0.2227692166

OpenAI Moderation v1 (007)

Harassment

0.110782648

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0962716469

OpenAI Moderation v1 (007)

Self-Harm

0.0082350489

OpenAI Moderation v1 (007)

Sexual > Minors

0.0068187204

OpenAI Moderation v1 (007)

Violence > Graphic

0.0049155246

OpenAI Moderation v1 (007)

Sexual

0.0038998518

OpenAI Moderation v1 (007)

Hate

0.0028648918

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0014062004

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.93607E-5

OpenAI Moderation v1 (007)

Hate > Threatening

8.2236E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

4.7

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

19

Sprache Difficult Word Count

23

Mary Leary

The second approach involves reentry partnerships, where law enforcement, corrections, and the community work together to prepare for and manage the reentry process. Under this initiative, reentry plans are developed for individual offenders based on a network of community resources, including employment, housing, substance abuse treatment, family counseling, and other services. This comprehensive approach draws upon the resources of a broad range of partners, including corrections agencies, community police, treatment providers, and community-based organizations. The offender, the offender's family, the victim, and the community all work together to develop a comprehensive strategy for managing an offender's reentry to community life. Eight states are participating in this initiative -- Florida, Maryland, Massachusetts, Missouri, Nevada, South Carolina, Vermont, and Washington.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.83321

Harvard-IV (Relative)

0.46667

Positive

Harvard-IV (Absolute)

0.46667

Positive

Harvard-IV (Logit)

0.97345

VADER

-0.807

Very Negative

Moderation

Sexual

0.2030983102

OpenAI Moderation v1 (007)

Self-Harm

0.0355699798

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0201911011

OpenAI Moderation v1 (007)

Harassment

0.0102988328

OpenAI Moderation v1 (007)

Violence

0.0090914247

OpenAI Moderation v1 (007)

Violence > Graphic

0.0057853664

OpenAI Moderation v1 (007)

Hate

0.0031476477

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0025937483

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017177363

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005402064

OpenAI Moderation v1 (007)

Hate > Threatening

1.67493E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

0.8

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.3

Sprache Readability Score

5

Dale-Chall Difficult Word Score

61

Sprache Difficult Word Count

51

Mary Leary

In addition, to maximize the impact of federal funds in the reentry partnership sites, OJP plans to collaborate with the Departments of Labor (DOL) and Health and Human Services (HHS). DOL would provide assistance in developing and operating jobs-related programs in the reentry sites, and HHS would support substance abuse and mental health services. We have also set aside monies under this program to support an evaluation, and, in fact, our National Institute of Justice has just recently issued a Request for Proposals for this purpose.

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)

1.27297

VADER

0.557

Very Positive

Moderation

Sexual

0.2052032156

OpenAI Moderation v1 (007)

Self-Harm

0.0357348064

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0204354103

OpenAI Moderation v1 (007)

Harassment

0.0103396305

OpenAI Moderation v1 (007)

Violence

0.0091113863

OpenAI Moderation v1 (007)

Violence > Graphic

0.0057640107

OpenAI Moderation v1 (007)

Hate

0.0031678293

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0026077343

OpenAI Moderation v1 (007)

Sexual > Minors

0.0017400704

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005453958

OpenAI Moderation v1 (007)

Hate > Threatening

1.69905E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

34.5

Gunning-Fog Score

17.1

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

41

Sprache Difficult Word Count

39

Mary Leary

In addition to these programmatic efforts, OJP supports research and statistical analysis to inform programming, as well as evaluations to measure program performance and effectiveness. At the Justice Department, from the Attorney General on down, research and evaluation are real priorities. Research and evaluation are not isolated endeavors, but an integral part of our efforts to administer justice in this country and to improve the operations of the criminal and juvenile justice systems. Our goal is to have data and knowledge driving policy, so that our programming and funding decisions are based on sound performance measures, hard data, and ongoing analysis.

Sentiment

Loughran McDonald (Relative)

0.6

Very Positive

Loughran McDonald (Absolute)

0.6

Very Positive

Loughran McDonald (Logit)

1.09861

Harvard-IV (Relative)

0.57143

Very Positive

Harvard-IV (Absolute)

0.57143

Very Positive

Harvard-IV (Logit)

1.18958

VADER

0.911

Very Positive

Moderation

Sexual

0.188077183

OpenAI Moderation v1 (007)

Self-Harm

0.0363116036

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.019989429

OpenAI Moderation v1 (007)

Harassment

0.0128465646

OpenAI Moderation v1 (007)

Violence

0.0092877897

OpenAI Moderation v1 (007)

Violence > Graphic

0.006090074

OpenAI Moderation v1 (007)

Hate

0.0035887846

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0023556413

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015339047

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005818687

OpenAI Moderation v1 (007)

Hate > Threatening

1.95712E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

20.4

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

45

Sprache Difficult Word Count

38

Mary Leary

Starting with the passage of the 1994 Crime Bill, we worked with Congress to allow us to take money off the top of all the new program funds to support research and evaluation in those areas and to help inform future federal spending. At OJP, we are working to make evaluation a part of every program we support and to use the results of research and evaluation to inform our programming and spending decisions. For example, since 1995, we have committed $5 million to evaluate drug court programs, and we plan to expend additional monies in fiscal year 2001 to expand these efforts. Our National Institute of Justice has designed a multi-phased, multi-year, multi-site evaluation of over 30 drug court programs. Some preliminary findings from the first evaluations were released this past spring, and we are using those results to improve our drug court programming. In addition, we are supporting an evaluation of the effectiveness of the various treatment services used by drug courts and research that will develop an assessment tool that can be used by drug court programs throughout the country to provide reliable information on program costs and cost- savings.

Sentiment

Loughran McDonald (Relative)

0.66667

Very Positive

Loughran McDonald (Absolute)

0.66667

Very Positive

Loughran McDonald (Logit)

1.29928

Harvard-IV (Relative)

0.65217

Very Positive

Harvard-IV (Absolute)

0.65217

Very Positive

Harvard-IV (Logit)

1.46634

VADER

0.958

Very Positive

Moderation

Sexual

0.188077183

OpenAI Moderation v1 (007)

Self-Harm

0.0363116036

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.019989429

OpenAI Moderation v1 (007)

Harassment

0.0128465646

OpenAI Moderation v1 (007)

Violence

0.0092877897

OpenAI Moderation v1 (007)

Violence > Graphic

0.006090074

OpenAI Moderation v1 (007)

Hate

0.0035887846

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0023556413

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015339047

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0005818687

OpenAI Moderation v1 (007)

Hate > Threatening

1.95712E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

37.7

Gunning-Fog Score

18.6

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.7

Sprache Readability Score

5

Dale-Chall Difficult Word Score

76

Sprache Difficult Word Count

62

Mary Leary

In addition, we are supporting initiatives that incorporate research and evaluation into programs from their inception. In these programs, researchers and practitioners work together to identify local crime-related problems, guide the implementation of interventions, evaluate progress, and disseminate data.

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

0.459

Positive

Moderation

Sexual

0.0212817933

OpenAI Moderation v1 (007)

Violence

0.0012596059

OpenAI Moderation v1 (007)

Violence > Graphic

0.0012187317

OpenAI Moderation v1 (007)

Harassment

0.0009747283

OpenAI Moderation v1 (007)

Self-Harm

0.0002446245

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002044297

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0002028083

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.59722E-5

OpenAI Moderation v1 (007)

Sexual > Minors

4.69152E-5

OpenAI Moderation v1 (007)

Hate

1.23829E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.212E-7

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

9.7

Sprache Readability Score

4.8

Dale-Chall Difficult Word Score

22

Sprache Difficult Word Count

21

Mary Leary

I am committed to continuing to ensure that performance measures are built into every program that OJP has a responsibility to ensure that taxpayer monies are spent wisely and effectively. For that reason, I am working to ensure that OJP staff closely monitors every grant program to measure effectiveness, and to quickly intervene with training and technical assistance where needed to improve program operations. If a program continues to flounder in spite of additional assistance, I believe we must learn from our mistakes and end funding for projects that simply do not work.

Sentiment

Loughran McDonald (Relative)

0.5

Positive

Loughran McDonald (Absolute)

0.5

Positive

Loughran McDonald (Logit)

0.8473

Harvard-IV (Relative)

0.63636

Very Positive

Harvard-IV (Absolute)

0.63636

Very Positive

Harvard-IV (Logit)

1.41369

VADER

0.92

Very Positive

Moderation

Sexual > Minors

0.0644139713

OpenAI Moderation v1 (007)

Violence > Graphic

0.0366811553

OpenAI Moderation v1 (007)

Violence

0.022277399

OpenAI Moderation v1 (007)

Sexual

0.0114353985

OpenAI Moderation v1 (007)

Harassment

0.0079182275

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0025526777

OpenAI Moderation v1 (007)

Hate

0.0018332697

OpenAI Moderation v1 (007)

Self-Harm

0.0009240039

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0003327021

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.32826E-5

OpenAI Moderation v1 (007)

Hate > Threatening

2.71874E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

30.7

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.8

Sprache Readability Score

5

Dale-Chall Difficult Word Score

37

Sprache Difficult Word Count

35

Mary Leary

In addition to federally supported initiatives, we are also working to build research and evaluation capacity at the state and local levels. Federal support for research and evaluation is critical. But at the same time, we must build capacity at the state and local levels to enable those officials to better understand and respond to crime. Because crime in this country is primarily a state and local responsibility, we must enhance state and local capacity to assess their crime statistics, analyze risk factors, and conduct research and evaluation to inform local planning and programming.

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

-0.791

Very Negative

Moderation

Harassment

0.0405613828

OpenAI Moderation v1 (007)

Sexual

0.0106304622

OpenAI Moderation v1 (007)

Violence

0.0036886457

OpenAI Moderation v1 (007)

Sexual > Minors

0.0005609039

OpenAI Moderation v1 (007)

Hate

0.0001906038

OpenAI Moderation v1 (007)

Violence > Graphic

8.41798E-5

OpenAI Moderation v1 (007)

Harassment > Threatening

3.15919E-5

OpenAI Moderation v1 (007)

Self-Harm

6.9845E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.4015E-6

OpenAI Moderation v1 (007)

Hate > Threatening

3.961E-7

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.745E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

28.2

Gunning-Fog Score

17.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

40

Sprache Difficult Word Count

31

Mary Leary

OJP is working to foster performance measures at the state and local level. Assistance provided to drug courts is one example. Although OJP closely monitors the drug courts supported with its grant monies, provides training and technical assistance where needed, and rescinds funds from ineffective programs, many drug courts are supported with funds from state and local government, private industry, and foundations. In fact, as you know, Mr. Chairman, drug courts began as a grass-rots movement, without federal assistance, and spread across the nation.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-1.09861

Harvard-IV (Relative)

0.57143

Very Positive

Harvard-IV (Absolute)

0.57143

Very Positive

Harvard-IV (Logit)

1.18958

VADER

0.681

Very Positive

Moderation

Violence

0.0108205255

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0105852559

OpenAI Moderation v1 (007)

Sexual

0.0060534447

OpenAI Moderation v1 (007)

Violence > Graphic

0.0056277247

OpenAI Moderation v1 (007)

Harassment

0.0043493597

OpenAI Moderation v1 (007)

Sexual > Minors

0.0028369133

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0015384991

OpenAI Moderation v1 (007)

Self-Harm

0.001020396

OpenAI Moderation v1 (007)

Hate

0.0006677645

OpenAI Moderation v1 (007)

Hate > Threatening

5.0822E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

9.5107E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.2

Flesch-Kincaid Ease

52.2

Gunning-Fog Score

13.9

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

8.6

Sprache Readability Score

5

Dale-Chall Difficult Word Score

42

Sprache Difficult Word Count

39

Mary Leary

In an effort to ensure the effectiveness of all drug courts, OJP entered into a cooperative agreement with the National Association of Drug Court Professionals to develop standards and performance measures for drug courts. A Drug Court Standards Committee, composed of drug court practitioners from throughout the country, developed recommendations published in DCPO's 1997 report, "Defining Drug Courts: The Key Components." This landmark report describes the 10 key components of a drug court and provides performance benchmarks for each component. The Conference of Chief Justices, the Conference of State Court Administrators, and several states have adopted the key components and performance benchmarks as standard measurement tools for drug courts.

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)

3.21888

VADER

0.727

Very Positive

Moderation

Sexual

0.0754099747

OpenAI Moderation v1 (007)

Violence

0.0237209475

OpenAI Moderation v1 (007)

Harassment

0.0073112686

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0034823759

OpenAI Moderation v1 (007)

Self-Harm

0.002764839

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013982452

OpenAI Moderation v1 (007)

Violence > Graphic

0.0012434884

OpenAI Moderation v1 (007)

Hate

0.0008639528

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0006537961

OpenAI Moderation v1 (007)

Hate > Threatening

1.98863E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.2261E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

31.7

Gunning-Fog Score

17.5

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

48

Sprache Difficult Word Count

38

Mary Leary

OJP also is working to help jurisdictions collect and analyze drug use data, and then use those data in local criminal justice planning. Through the Arrestee Drug Abuse Monitoring (ADAM) program, 35 jurisdictions across the country collect and analyze interviews and urinalysis of adult and juvenile arrestees and detainees in police lock-ups. Analyses of these data help jurisdictions understand local and regional drug use trends, as well as the links between drug use and crime, and make informed decisions about deployment and spending. ADAM was the first national indicator, for example, to document an alarming rise in Western jurisdictions in methamphetamine use. ADAM has also found that marijuana was the most commonly used drug among juvenile detainees.

Sentiment

Loughran McDonald (Relative)

-0.5

Very Negative

Loughran McDonald (Absolute)

-0.5

Very Negative

Loughran McDonald (Logit)

-0.8473

Harvard-IV (Relative)

0.52941

Very Positive

Harvard-IV (Absolute)

0.52941

Very Positive

Harvard-IV (Logit)

1.09861

VADER

-0.402

Negative

Moderation

Harassment

0.0076041033

OpenAI Moderation v1 (007)

Violence

0.0018251354

OpenAI Moderation v1 (007)

Violence > Graphic

0.0017930739

OpenAI Moderation v1 (007)

Sexual

0.0004816677

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0003338361

OpenAI Moderation v1 (007)

Hate

0.000252619

OpenAI Moderation v1 (007)

Self-Harm

1.55086E-5

OpenAI Moderation v1 (007)

Sexual > Minors

1.29875E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

6.8631E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.9539E-6

OpenAI Moderation v1 (007)

Hate > Threatening

3.3E-7

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

25.2

Gunning-Fog Score

18.6

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

57

Sprache Difficult Word Count

45

Mary Leary

ADAM is designed so that each participating local jurisdiction can customize information to meet its unique needs. ADAM makes it possible to identify levels of drug use among arrestees; track changes in patterns of drug use; identify specific drugs that are abused in each jurisdiction; alert officials to trends in drug use and the availability of new drugs; provide data to help understand the drug- crime connection; and evaluate law enforcement and jail-based programs and their effects.

Sentiment

Loughran McDonald (Relative)

-0.2

Slightly Negative

Loughran McDonald (Absolute)

-0.2

Slightly Negative

Loughran McDonald (Logit)

-0.33647

Harvard-IV (Relative)

0.47368

Positive

Harvard-IV (Absolute)

0.47368

Positive

Harvard-IV (Logit)

0.9694

VADER

-0.44

Negative

Moderation

Harassment

1.1086173356

OpenAI Moderation v1 (007)

Violence

0.0669592293

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0146825565

OpenAI Moderation v1 (007)

Sexual

0.0110954083

OpenAI Moderation v1 (007)

Hate

0.0079283222

OpenAI Moderation v1 (007)

Violence > Graphic

0.0008184005

OpenAI Moderation v1 (007)

Self-Harm

0.0003803084

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002145042

OpenAI Moderation v1 (007)

Sexual > Minors

9.92815E-5

OpenAI Moderation v1 (007)

Hate > Threatening

7.17106E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

5.2347E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

16.5

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

35

Sprache Difficult Word Count

32

Mary Leary

ADAM also serves as a research platform for a wide variety of related initiatives, including the relationship of drugs and crime to related social problems, such as alcohol abuse, domestic violence, drug markets, firearms, gambling, gangs, and sexually transmitted diseases. For example, in Indianapolis, a special committee convened by the mayor's office consisting of law enforcement officials, court officials, and service providers, used ADAM data to develop a plan to address problems such as prostitution, drug use, and other crimes.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

Loughran McDonald (Logit)

-2.56495

Harvard-IV (Relative)

-0.33333

Somewhat Negative

Harvard-IV (Absolute)

-0.33333

Somewhat Negative

Harvard-IV (Logit)

-0.64663

VADER

-0.938

Very Negative

Moderation

Harassment

0.0487681158

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0112415219

OpenAI Moderation v1 (007)

Violence

0.0096511088

OpenAI Moderation v1 (007)

Sexual

0.0022270169

OpenAI Moderation v1 (007)

Hate

0.0017358439

OpenAI Moderation v1 (007)

Self-Harm

0.0013683131

OpenAI Moderation v1 (007)

Violence > Graphic

0.001295317

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001791552

OpenAI Moderation v1 (007)

Self-Harm > Instructions

8.57276E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

4.73108E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.1876E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

4.4

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

10

Sprache Readability Score

5

Dale-Chall Difficult Word Score

41

Sprache Difficult Word Count

40

Mary Leary

Through an agreement with the Bureau of the Census, OJP's Bureau of Justice Statistics collects additional data regarding drug use by prison and jail inmates, drug-related programs in state and local police agencies, and the adjudication and sentencing of drug offenders. For example, BJS surveys found that more than 80 percent of jail and prison inmates reported prior drug use, compared to 36 percent of the general population.

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

-0.477

Negative

Moderation

Violence

0.0418443524

OpenAI Moderation v1 (007)

Harassment

0.0263571332

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0209273217

OpenAI Moderation v1 (007)

Sexual

0.0069261718

OpenAI Moderation v1 (007)

Sexual > Minors

0.0049635004

OpenAI Moderation v1 (007)

Hate

0.0024335932

OpenAI Moderation v1 (007)

Violence > Graphic

0.0011471895

OpenAI Moderation v1 (007)

Self-Harm

0.000895931

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0002161586

OpenAI Moderation v1 (007)

Hate > Threatening

2.83426E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.4082E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

30.8

Gunning-Fog Score

19

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

9.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

34

Sprache Difficult Word Count

32

Mary Leary

These data highlight the need for continued national attention to the problem of illegal drug crime and drug-related crime. OJP has adopted a comprehensive approach to preventing illegal drug use, enforcing drug laws, providing appropriate interventions and sanctions for drug-abusing offenders, ensuring post-incarceration supervision and treatment, and supporting research and evaluation to inform these efforts. I look forward to working with you, Mr. Chairman, and the Members of this Subcommittee to prevent illegal drug use in this country, particularly by our nation's young people, and to reduce drug- related crime. This concludes my formal statement. I would be happy now to answer any questions you or the Subcommittee Members may have. Senator Sessions. All right. Our next panel, we will get your names up there, and if you can go on and step forward, I guess I will ask you first to give your oath, if you would.

Sentiment

Loughran McDonald (Relative)

-0.73333

Very Negative

Loughran McDonald (Absolute)

-0.73333

Very Negative

Loughran McDonald (Logit)

-1.6864

Harvard-IV (Relative)

0.125

Leans Positive

Harvard-IV (Absolute)

0.125

Leans Positive

Harvard-IV (Logit)

0.24362

VADER

-0.937

Very Negative

Moderation

Violence

0.0247674761

OpenAI Moderation v1 (007)

Sexual

0.0239588408

OpenAI Moderation v1 (007)

Harassment

0.0176150221

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0044744651

OpenAI Moderation v1 (007)

Violence > Graphic

0.0036426984

OpenAI Moderation v1 (007)

Sexual > Minors

0.0015897913

OpenAI Moderation v1 (007)

Self-Harm

0.0002717984

OpenAI Moderation v1 (007)

Hate

0.0001051565

OpenAI Moderation v1 (007)

Hate > Threatening

5.20117E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

5.15109E-5

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.51376E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.3

Flesch-Kincaid Ease

50.9

Gunning-Fog Score

13.6

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

10.4

Dale-Chall Readability Score

6.9

Sprache Readability Score

5

Dale-Chall Difficult Word Score

58

Sprache Difficult Word Count

50

Mary Leary

Do you solemnly swear that the testimony you give to this subcommittee will be the truth, the whole truth, and nothing but the truth, so help you God?

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

0.627

Very Positive

Moderation

Sexual

0.0500901777

OpenAI Moderation v1 (007)

Violence > Graphic

0.002040459

OpenAI Moderation v1 (007)

Violence

0.0020208226

OpenAI Moderation v1 (007)

Harassment

0.0017664155

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0012040727

OpenAI Moderation v1 (007)

Self-Harm

0.0005998155

OpenAI Moderation v1 (007)

Sexual > Minors

0.0003055642

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002506569

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0001799145

OpenAI Moderation v1 (007)

Hate

0.0001425733

OpenAI Moderation v1 (007)

Hate > Threatening

1.8216E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

10.9

Flesch-Kincaid Ease

66.6

Gunning-Fog Score

15.5

Coleman-Liau Index

9.2

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

3.1

Sprache Readability Score

4.5

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

6

Michael McMaken

I do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Violence

0.0144588717

OpenAI Moderation v1 (007)

Violence > Graphic

0.0026162834

OpenAI Moderation v1 (007)

Sexual

0.0017308172

OpenAI Moderation v1 (007)

Harassment

0.0010869617

OpenAI Moderation v1 (007)

Harassment > Threatening

0.000641905

OpenAI Moderation v1 (007)

Self-Harm

0.0005772294

OpenAI Moderation v1 (007)

Sexual > Minors

0.0001833519

OpenAI Moderation v1 (007)

Hate

0.0001082164

OpenAI Moderation v1 (007)

Hate > Threatening

7.9868E-6

OpenAI Moderation v1 (007)

Self-Harm > Intent

7.162E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

2.9475E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

Richard Gebelein

I do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Harassment

0.0452544424

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0206987927

OpenAI Moderation v1 (007)

Hate

0.0105282284

OpenAI Moderation v1 (007)

Violence > Graphic

0.0075296302

OpenAI Moderation v1 (007)

Violence

0.0063073407

OpenAI Moderation v1 (007)

Sexual

0.0031936095

OpenAI Moderation v1 (007)

Sexual > Minors

0.0019183593

OpenAI Moderation v1 (007)

Self-Harm

0.0012807697

OpenAI Moderation v1 (007)

Hate > Threatening

0.0002445072

OpenAI Moderation v1 (007)

Self-Harm > Instructions

6.42226E-5

OpenAI Moderation v1 (007)

Self-Harm > Intent

3.15495E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

Steven Belenko

I do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Violence

0.2309969859

OpenAI Moderation v1 (007)

Violence > Graphic

0.1304856967

OpenAI Moderation v1 (007)

Sexual > Minors

0.0868029718

OpenAI Moderation v1 (007)

Sexual

0.0866309449

OpenAI Moderation v1 (007)

Harassment

0.015307717

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0095240379

OpenAI Moderation v1 (007)

Hate

0.0058595899

OpenAI Moderation v1 (007)

Self-Harm

0.0024648656

OpenAI Moderation v1 (007)

Hate > Threatening

0.0015158581

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0007366408

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001449821

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

John Goldkamp

I do.

Sentiment

Loughran McDonald (Relative)

0

Neutral

Loughran McDonald (Absolute)

0

Neutral

Loughran McDonald (Logit)

0

Harvard-IV (Relative)

0

Neutral

Harvard-IV (Absolute)

0

Neutral

Harvard-IV (Logit)

0

VADER

0

Neutral

Moderation

Sexual

0.0188533188

OpenAI Moderation v1 (007)

Harassment

0.0046810354

OpenAI Moderation v1 (007)

Sexual > Minors

0.0041458054

OpenAI Moderation v1 (007)

Violence

0.0035967507

OpenAI Moderation v1 (007)

Harassment > Threatening

0.001365448

OpenAI Moderation v1 (007)

Self-Harm

0.000992462

OpenAI Moderation v1 (007)

Violence > Graphic

0.0004480399

OpenAI Moderation v1 (007)

Hate

0.0002087452

OpenAI Moderation v1 (007)

Self-Harm > Intent

1.89652E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.1204E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

1.8465E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

0

Flesch-Kincaid Ease

100

Gunning-Fog Score

0.8

Coleman-Liau Index

0

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

Jeff Sessions

Thank you 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

Self-Harm

0.0326491485

OpenAI Moderation v1 (007)

Violence

0.0276213745

OpenAI Moderation v1 (007)

Hate

0.0242963753

OpenAI Moderation v1 (007)

Harassment

0.0217610606

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0175359397

OpenAI Moderation v1 (007)

Sexual

0.0089061054

OpenAI Moderation v1 (007)

Violence > Graphic

0.0059603852

OpenAI Moderation v1 (007)

Sexual > Minors

0.0010402762

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0005546484

OpenAI Moderation v1 (007)

Hate > Threatening

0.00048072

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001104787

OpenAI Moderation v1 (007)

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

0.2

Sprache Readability Score

1.1

Dale-Chall Difficult Word Score

0

Sprache Difficult Word Count

0

Jeff Sessions

Our second panel is comprised of several distinguished experts on the operation and study of drug courts. Judge Mike McMaken has presided over the drug court in my hometown of Mobile, AL, for 7 years. I have watched with great admiration how he has conducted that court. He served as district judge in Mobile County since 1987 and currently presides over the district court. He has served tirelessly to improve the Alabama criminal justice system, devoting particular efforts to child advocation advocacy. He co-authored a publication entitled "Implementing Child Advocacy: A Rational and a Basic Blueprint." He served as first president of the board of the directors of the Child Advocacy Center, Incorporated, in Mobile, and when he was a private practitioner, he represented the Mobile County Department of Human Resources at one point of his legal career, almost exclusively dealing with child custody actions involving abused and neglected children. He served as an assistant district attorney and prosecutor in both Mobile and Tuscaloosa and was present at and has presided over the creation of this drug court and its history since.

Sentiment

Loughran McDonald (Relative)

-0.14286

Leans Negative

Loughran McDonald (Absolute)

-0.14286

Leans Negative

Loughran McDonald (Logit)

-0.25131

Harvard-IV (Relative)

0.35294

Somewhat Positive

Harvard-IV (Absolute)

0.35294

Somewhat Positive

Harvard-IV (Logit)

0.71465

VADER

0.891

Very Positive

Moderation

Sexual

0.0234593681

OpenAI Moderation v1 (007)

Violence

0.0124299884

OpenAI Moderation v1 (007)

Violence > Graphic

0.005941261

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0017982456

OpenAI Moderation v1 (007)

Self-Harm

0.0015214498

OpenAI Moderation v1 (007)

Sexual > Minors

0.0013786108

OpenAI Moderation v1 (007)

Harassment

0.000667555

OpenAI Moderation v1 (007)

Self-Harm > Intent

0.0001701513

OpenAI Moderation v1 (007)

Hate

2.00038E-5

OpenAI Moderation v1 (007)

Hate > Threatening

6.098E-6

OpenAI Moderation v1 (007)

Self-Harm > Instructions

4.1236E-6

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

12

Flesch-Kincaid Ease

37.5

Gunning-Fog Score

15.5

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

12

Dale-Chall Readability Score

7.5

Sprache Readability Score

5

Dale-Chall Difficult Word Score

74

Sprache Difficult Word Count

67

Jeff Sessions

Senator Biden, you have someone you would like to introduce.

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

0.0038981787

OpenAI Moderation v1 (007)

Sexual

0.003198718

OpenAI Moderation v1 (007)

Harassment

0.0031657852

OpenAI Moderation v1 (007)

Sexual > Minors

0.0025080322

OpenAI Moderation v1 (007)

Self-Harm

0.001484502

OpenAI Moderation v1 (007)

Harassment > Threatening

0.0011532643

OpenAI Moderation v1 (007)

Hate

0.0003497667

OpenAI Moderation v1 (007)

Violence > Graphic

0.0003419389

OpenAI Moderation v1 (007)

Self-Harm > Instructions

0.0002335937

OpenAI Moderation v1 (007)

Self-Harm > Intent

8.60996E-5

OpenAI Moderation v1 (007)

Hate > Threatening

3.14577E-5

OpenAI Moderation v1 (007)

Readability

Flesch-Kincaid Grade

8.4

Flesch-Kincaid Ease

52.9

Gunning-Fog Score

12

Coleman-Liau Index

12

SMOG Index

12

Automated Readability Index

6.6

Dale-Chall Readability Score

5.2

Sprache Readability Score

2.2

Dale-Chall Difficult Word Score

3

Sprache Difficult Word Count

4

Joe Biden

I do, and let me say, Mr. Chairman, first of all, thank you and to the whole panel. I am supposed to be, like we all are, but I have three other things I am supposed to be doing now, and I say to Judge Gebelein there are 19 University of Delaware students in the back room from my former professor, Professor Belinski. I can't remember what grade he gave me. So I am trying to figure out if it was a good grade, I am going to go speak to him. If it wasn't, I am going to go to the press conference, but all kidding aside, and I am supposed to be with Senator Hatch at 11 o'clock, which I am obviously not going to make, at another function on the digital divide and the H-1B visa.

Sentiment

Loughran McDonald (Relative)

-1

Very Negative

Loughran McDonald (Absolute)

-1

Very Negative

S. Hrg. 106-1054 - Oversight of the Office of Justice Programs: Program Performance--Drug Courts

Jeff Sessions

Jeff Sessions

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Mary Leary

Jeff Sessions

Jeff Sessions

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Mary Leary

Jeff Sessions

Jeff Sessions

Jeff Sessions

Jeff Sessions

Jeff Sessions

Jeff Sessions

Mary Leary

Mary Leary

Mary Leary

Mary Leary

Mary Leary

Jeff Sessions

Mary Leary

Mary Leary

Jeff Sessions

Mary Leary

Jeff Sessions

Mary Leary

Mary Leary

Mary Leary

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Mary Leary

Mary Leary

Mary Leary

Jeff Sessions

Mary Leary

Mary Leary

Mary Leary

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Mary Leary

Mary Leary

Joe Biden

Mary Leary

Mary Leary

Mary Leary

Joe Biden

Mary Leary

Mary Leary

Jeff Sessions

Mary Leary

Jeff Sessions

Mary Leary

Jeff Sessions

Mary Leary

Mary Leary

Joe Biden

Mary Leary