Bibliographic record
Abstract
Risk, restorative justice and the Crown a study of the prosecutor and institutionalisation in Canada In Canada, restorative justice programmes have long been institutionalised in the criminal justice system. In Ontario, specifically, their use in criminal prosecutions is subject to the approval of Crown attorneys (prosecutors) who are motivated in part by risk logics and risk management. Such reliance on state support has been criticised for the ways in which it might subvert the goals of restorative justice. However, neither the functioning of these programmes nor those who refer cases to them have been subject to much empirical study in Canada. Thus, this study asks whether Crown attorneys’ concerns for risk and its management impact their decision to refer cases to restorative justice programmes and with what consequences. Through in-depth interviews with prosecutors in Ontario, I demonstrate how they predicate the use of restorative justice on its ability to reduce the risk of recidivism to the detriment of victims’ needs. The findings suggest that restorative justice becomes a tool for risk management when prosecutors are responsible for case referrals. They also suggest that Crown attorneys bear some responsibility for the dangers of institutionalisation. This work thus contributes to a greater understanding of the functioning of institutionalised restorative justice in Canada.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".