Criminal Justice Drug Abuse Treatment Studies (CJ-DATS): A Comparison of Two Reentry Strategies for Drug Abusing Juvenile Offenders, 2003-2009 [United States]
Bibliographic record
Abstract
Despite progress in reducing crime, crime rates among juveniles, particularly non-white juveniles, remain high. A number of programs have been developed to address the process of reintegration into the community, known as aftercare, through resource efficiency, recidivism reduction, and public safety. This study attempts to evaluate the relative effectiveness of two strategies, extant aftercare services (AS) and Cognitive Restructuring (CR), in order to determine the differential effects on juveniles with varying problem profiles. 236 baseline interviews took place, after which 118 individuals were assigned to CR and 118 to AS. They were then interviewed at three months, two weeks prior to completion of the treatment, and nine months after the completion of the treatment. The two treatments were then compared for relative effectiveness and for relative quality of integration into the juvenile justice system. This data is public use. There are 62 variables and 65 cases in Recruitment(DS1). Intake (DS2) has 444 variables and 187 respondents. The Three Month Follow-Up (DS3) has 319 variables and 159 respondents. Finally, there are 319 variables and 137 respondents in the Nine Month Follow-Up (DS4).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".