Evidence-based programming: An examination of the accreditation process for substance abuse programming in Canada's federal correctional institutions
Bibliographic record
Abstract
This thesis examines the accreditation process for substance abuse programming in Canada's federal correctional institutions. It identifies the link between substance abuse and crime, and analyzes how, over the past twenty to twenty five years, the Canadian government, through programming, has addressed the needs of federally incarcerated offenders with substance abuse problems. The thesis notes the differences between male and female pathways to crime, and their differing programming needs. It assesses the substance abuse programs offered prior to, and since accreditation, and seeks to decipher the programs' effectiveness in reducing recidivism rates among offenders. Using Andrews and Bonta's (2003) core principles for effective offender programming, the cost perspective, and statistics regarding recidivism rates, this thesis concludes that substance abuse programming for federally incarcerated offenders is, indeed, beneficial.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".