Punishment and Retribution Within the Bail Process: An Analysis of the Public Confidence in the Administration of Justice Ground for Pre-Trial Detention
Bibliographic record
Abstract
Abstract This paper argues that lower courts have used their discretionary powers provided within legislation and St-Cloud to infuse a predominantly retributive interpretation into the public confidence in the administration of justice ground of pre-trial detention. This is illustrated notably by their choice of and weight afforded to the various aggravating and mitigating factors, the circumstances that relate to the commission of the offence, as well as their analysis of the length of imprisonment. This transfer of sentencing rationales, and to a greater extent, retributivism, into the third ground of pre-trial detention is used, in part, to justify pre-trial detention and can partially explain the rates of pre-trial detention. Finally, the underlying sentencing logic within the bail process can be understood within a sociological perspective, which examines the wider social functions of institutions and suggests that the bail process is an extension of punishment that serves to reinstate social order and public confidence.
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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 | 0.010 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".