Gender differences in mental health needs and recidivism in a sample of adolescent offenders / Harpreet Kaur Chattha. --
Bibliographic record
Abstract
The present study investigated gender differences in mental health needs and correlates of recidivism in a sample of court-referred youths in Thunder Bay, Ontario.Archival data, consisting of mental health assessments used to assist dispositional proceedings and recidivism data collected from 1996 to 2000, was examined in an exploratory fashion that was aided, in part, by prior empirical literature and relevant theoretical constructs.The analyses of historical information and behaviour checkists suggest that gender-specific mental health needs do exist in adolescents committing crimes.Female youths were reported as experiencing more internalizing and externalizing problems than the males.In addition, significantly more of the females were exposed to maltreatment, compared to the male youths.Although overall survival distributions of recidivism did not differ significantly by gender, there were differences in the risk factors for recidivism for male and female youths.It was found that poor mother-child relationship, poor parental management and substance abuse problems significantly influenced recidivism in males, while internalizing problems influenced female recidivism.While limitations of the current study are acknowledged, the findings, to some extent, reconcile some of the discrepancies and ambiguities in the literature.Important directions for future research are also discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.013 | 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".