The role of mental health and specific responsivity in juvenile justice rehabilitation.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Understanding the role that mental health issues play in justice-involved youth poses challenges for research, policy, and practice. While mental health problems are generally not risk factors for criminal behavior according to the risk-needs-responsivity (RNR) framework of correctional psychology practice, prevalence rates are very high and RNR principles suggest that mental health as a responsivity variable may moderate the success of interventions targeted to criminogenic needs. In this study we investigated the relationships among mental health status, criminogenic needs treatment, and recidivism in a sample of 232 youth referred for court-ordered assessments and followed through their community supervision sentence (probation). Youth with mental health needs were no more likely than youth without these needs to reoffend, regardless of whether those needs were treated. Youth who received mental health treatment also more frequently had their criminogenic needs matched across several domains, suggesting an association between mental health treatment and intermediate treatment targets. However, mental health did not moderate the effect of criminogenic needs treatment: youth who had a greater proportion of criminogenic needs targeted through appropriate services were less likely to reoffend, regardless of mental health status. Findings are consistent with the RNR stance that, within a correctional context in which the primary goal of intervention is preventing recidivism, treatment for mental health needs should be in addition to criminogenic needs treatment, not in replacement of it. They also point to the need for continued research to understand precisely how mental health treatment interacts with intervention targeting criminogenic needs. (PsycINFO Database Record
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it