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Record W3111233858 · doi:10.1017/cls.2020.11

Trans Rights as Risks: On the Ambivalent Implementation of Canada’s Groundbreaking Trans Prison Reform

2020· article· en· W3111233858 on OpenAlexaboutno aff
William Hébert

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPrisonAmbivalencePolitical scienceDutyCorporate governanceLawBusinessPsychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract This paper analyses policy documents and interviews conducted in federal prisons to trace the emergence and early effects of Canada’s recent wave of groundbreaking trans correctional reforms. I show that prison authorities were forced to adopt more inclusive policies due to the legal, financial, and reputational risks generated by new trans rights protections. Yet, by examining what rights both enabled and foreclosed once they materialized in the everyday of prison life, I argue that reform’s implementation was fraught with ambivalence. Namely, this ambivalence was felt by the correctional administrators tasked with translating nebulous policy principles into concrete guidelines; by staff, whose front-line duty involved weighing rights against risks; and by trans prisoners, who grappled with how to balance their new entitlements with risks and uncertainties. What trans correctional reforms reveal, then, is that rights and risks are caught in an ambivalent and co-constitutive relationship in Canada’s regime of prison governance.

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)0.016
metaresearch head score (Gemma)0.024
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0400.041
Scholarly communication0.0150.004
Open science0.0020.008
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.304
Teacher spread0.271 · 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

Citations18
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