Trauma, social support and substance abuse in relation to recidivism in Canadian women offenders
Bibliographic record
Abstract
TRAUMA, SOCIAL SUPPORT, AND SUBSTANCE ABUSE IN RELATION TO RECIDIVISM OF CANADIAN WOMEN OFFENDERS The purpose of this study was to examine the hypothesis that Canadian federally sentenced women offenders who have experienced trauma, have decreased social support and have substance abuse problems will have increased recidivism rates. A national sample of 74 women was obtained representing the Atlantic Region, Quebec Region, Ontario Region, Prairie Region and Pacific Region. Measures included a trauma scale, the Multidimensional Scale of Perceived Social Support (MSPSS), the Alcohol Dependence Scale (ADS), and the Drug Abuse Screening Test (DAST-20). Recidivism data was gathered from the computerized databank used by the Correctional Services of Canada known as the Offender Management System (OMS). Hierarchical multiple regressions were conducted and while the overall hypothesis was not met, drug use/abuse was found to significantly predict both conviction rates and readmission rates. In addition, trauma was found to significantly predict alcohol use/abuse.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".