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Record W3088883439 · doi:10.1017/cls.2020.12

Punishment and Retribution Within the Bail Process: An Analysis of the Public Confidence in the Administration of Justice Ground for Pre-Trial Detention

2020· article· en· W3088883439 on OpenAlexaff
Marie Manikis, Jess De Santi

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsBC Research (Canada)Dawson College
Fundersnot available
KeywordsPunishment (psychology)Retributive justiceImprisonmentPolitical scienceCriminologyEconomic JusticeCriminal justiceLegislationLawPsychologySocial psychology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.011
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.035
GPT teacher head0.320
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et SociétéSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207