Culturally Relevant Programming versus the Status Quo: A Meta-analytic Review of the Effectiveness of Treatment of Indigenous Offenders
Bibliographic record
Abstract
The over-representation of Indigenous peoples in criminal justice systems internationally remains a critical issue. Some have argued that replacing generic services with culturally relevant programming would be an effective strategy to address this problem. This meta-analysis examines the effectiveness of culturally relevant programs for Indigenous offenders compared to conventional programs. Results based on seven studies (N=1,731) indicate Indigenous offenders who participate in these programs have significantly lower odds of recidivism (odds ratio=0.72) compared to Indigenous offenders who participate in generic programs. Although considerable methodological limitations were observed in the studies reviewed, the results of this meta-analysis are consistent with the concept of specific responsivity and the notion that treatment effectiveness is maximized when the learning environment is engaging and relevant. Additional research of higher methodological quality is needed to further evaluate culturally relevant programs and determine with greater confidence how correctional interventions best work for this population.
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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 | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".