Historical recidivism rates of Alberta’s not criminally responsible population
Bibliographic record
Abstract
In Canada, public safety is a paramount concern for the provincial Review Boards that oversee individuals found to be Not Criminally Responsible on Account of Mental Disorder (NCR). There is limited research on recidivism rates for NCR populations to assist public policy and institutional practices. In response to this gap, the authors examined the recidivism characteristics of the population of NCR individuals who have passed under the Review Board of Alberta, Canada. The maximum follow-up period was 35 years and included 528 cases between October 1941 and December 2015. Results indicated that the overall general recidivism rate of NCR individuals was 19.7% (convictions). Of this percentage, 4.6% received a major violent conviction, 12.6% received a violent conviction, and 0.75% received a sexual conviction. The presence of a mood or psychotic disorder resulted in a slightly lower likelihood for recidivism, whereas longer criminal histories led to a greater likelihood of recidivism. The findings are discussed for their implications on forensic practice.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 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".