Matching Court-Ordered Services with Treatment Needs
Bibliographic record
Abstract
The rehabilitation of young offenders and their reintegration into society are important goals of the juvenile justice system. An empirically supported model of service delivery attending to the principles of risk level, criminogenic need, and responsivity provides direction in achieving these goals. Although research on this model thus far has evaluated the principles only at a group level, the present study evaluates the impact on recidivism of matching youth with services at the individual level. Files of 122 youth who received court assessments were reviewed to determine whether clinical recommendations and services received were congruent. Youths' criminal records were reviewed to determine reoffense outcomes. As predicted, higher risk scores were associated with earlier and more frequent recidivism. Knowing whether a young offender had his or her specific criminogenic needs addressed in treatment added to the predictive power of risk. Having only a few treatment needs met was associated with significantly earlier recidivism and a greater number of new convictions. These findings may provide direction in enhancing efforts to effectively respond to youth crime.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".