Unintended Consequences of Multiple Bail Conditions for Youth
Bibliographic record
Abstract
Within the Criminal Code, and more recently the Youth Criminal Justice Act, the legislated goals of bail release conditions appear to be focused on the grounds for detention; in particular, to help ensure court attendance and to reduce the risk of reoffending. While Canadian research has explored the impact of multiple conditions on the likelihood of returning to court for failing to comply with orders, there has been no investigation into whether or not numerous conditions actually help to achieve their main legislated purposes of ensuring court attendance and reducing the likelihood of reoffending while on release. Using a large representative sample of completed youth court cases, we investigate the relationship between the imposition of numerous conditions and the achievement of those goals. We find that the use of numerous release conditions is not associated with an increased likelihood of court attendance or with a decreased likelihood of returning to court with new criminal (violence, property, drug) charges. Instead, numerous conditions are related only to an increased likelihood of subsequent failing-to-comply charges. The necessity of imposing numerous release conditions is called into question.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".