Effectiveness of the Dedicated Substance Abuse Treatment Unit in the Regina Correctional Centre: A seven-year retrospective analysis
Bibliographic record
Abstract
The Dedicated Substance Abuse Treatment Unit (DSATU) is a specialized unit at the Regina Correctional Centre (RCC) that began providing comprehensive in patient addiction treatment to male sentenced offenders in 2008. The purpose of this paper is to report on the seven-year retrospective evaluation of the effectiveness of the DSATU. The study consisted of a retrospective analysis of the case files of DSATU participants (2008-09 to 2014-15 fiscal years; n=755) and a retrospective, case-control analysis of DSATU program data and Corrections’ Case Management Information System (CMIS) data from the Ministry of Justice. DSATU data spanned from 2008-2014, while CMIS data spanned from 2007-2015 (comparator group n = 535). The effectiveness of the DSATU was measured through Program Fidelity and Treatment Effectiveness, Changes in Institutional Misconduct upon completion of the program, and Changes in Contact with Correctional Services after leaving the correctional facility. Pre- and post-treatment measures of Treatment Effectiveness completed as part of the DSATU program were analyzed. Participants demonstrated statistically significant improvements in their knowledge, beliefs, attitudes, and skills in dealing with substance abuse issues. In the period of time between completing the DSATU program and their release from the RCC, DSATU participants had: a significantly lower rate of Institutional Misconduct (disciplinary offenses) relative to the control group (25.3 vs. 45.8%); a significantly lower rate of re-contact with Correctional Services (recidivism) six months (17.3 vs. 26.4% for the control group) and 12 months (28.3 vs. 40.0%) post-release; and DSATU participants who came into contact with corrections post-release took longer to do so than those in the control group (251.0 days compared to 158.0 days). This study demonstrated that the DSATU program has been highly effective at reducing recidivism.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".