Legally a Jailer, Practically a Carer: Release on Bail Subject to Surety Supervision
Bibliographic record
Abstract
The pre-trial release decision involves an assessment of the risk the accused poses to the community and the administration of justice if they are released pending trial. To ameliorate risk and provide some insurance, a surety – a family member or friend who agrees to supervise the accused and promises a sum of money if the accused fails to appear in court, commits further offences, or breaches a condition of their release – may be required. Sureties are required to act as “jailers in the community,” conceptualized as a mechanism for reducing risk and enhancing public safety by providing supervision and improving the likelihood that the accused will comply with conditions. While the court imposes a legal relationship of monitoring and control between the accused and their surety, this expectation is confounded by tension between acting as someone’s jailer and providing care in the context of a close personal relationship. Through 32 interviews with sureties in Ontario, we explore the tensions and contradictions in the ways the legal relationship imposed by the court is experienced in practice, revealing a lack of formal support, a sense of powerlessness to exert authority over the accused, and a flexibility in enforcement that raises questions about surety effectiveness as a risk management strategy.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".