Substance Use Disorder Typologies of Canadian Federally Sentenced Men: Relationships With Institutional Behavior and Postrelease Success
Bibliographic record
Abstract
This study explored the presence of subgroups of incarcerated offenders using cluster analysis. Subgroups were created based on severity of criminogenic needs, including substance use, from a retrospective cohort of 5,275 Canadian male incarcerated offenders. Five groups emerged: (a) Primarily Drug Users With Stable Employment/Education, (b) Primarily Drug Users with High Needs, (c) Polysubstance Users With Positive Social Supports, (d) Polysubstance Users With Severe Need for Intervention, and (e) Drug Offenders With Good Reintegration Potential. Sociodemographic factors, criminal history, institutional behavior, and rates of recidivism were explored across subgroups. Drug Offenders With Good Reintegration Potential had the lowest rates of institutional charges and recidivism, while offenders in the Primarily Drug With High Needs and Polysubstance With Severe Need for Intervention groups had the highest rates. These findings highlight that classification of offenders is complex and nuanced. Knowing the pattern and severity of substance use and criminogenic needs aids offender management.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".