Remand as a Cross-Institutional System: Examining the Process of Punishment before Conviction
Bibliographic record
Abstract
Currently in Canada, there are more legally innocent people in custody in provincial/territorial prisons than there are sentenced prisoners. This group, known as remand prisoners, constituted 37% of the total prison population – federal and provincial/territorial – in Canada in 2015. Despite growing public attention and legal awareness of the remand problem, little is known about the human costs of pre-trial detention. I outline some of these costs to individuals through a discussion of three distinctive dimensions of remand imprisonment: arrest, court appearances, and daily life in custody. Based on interviews with 120 remand prisoners (60 male, 60 female) at four maximum-security provincial prisons in Ontario, I demonstrate that the system imposes many punishments on individuals long before – and often in the absence of – conviction. The consequences of remand custody have implications for our understanding of the nature of punishment before conviction and for contemporary legal debates in Canada on the issue of pre-trial credit.
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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 | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".