Unbreaking Bail?: Post-<i>Antic</i> Trends in Bail Outcomes
Bibliographic record
Abstract
Abstract Addressing criticism that bail blurs the line between prevention and punishment, the Supreme Court of Canada unanimously agreed “it is time to ensure that bail provisions are applied consistently and fairly” ( R v Antic 2017 SCC 27, [2017] 1 SCR 509). Rather than reform bail, this decision simply reaffirmed the existing legal mandate: using the ladder principle, accused must be released with the fewest conditions necessary to prevent them from absconding, reoffending/interfering with the administration of justice, and/or bringing the criminal justice system into disrepute. We analyze 480 bail hearings in Ontario, Canada, that occurred pre- and post- the R v Antic decision. Our results reveal that justices are more attentive to the ladder principle post- Antic , such that more accused are released on their own recognizance than in the past. While post- Antic trends show a reduction in the use of certain behaviour-modifying conditions, bail supervision programs are used more frequently. We discuss the implications of these findings in light of Canada’s “broken bail system.”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".