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Record W2755585950 · doi:10.1017/cls.2017.13

It’s Your Job to Save Me: The Union of Canadian Correctional Officers and the Death of Ashley Smith

2017· article· en· W2755585950 on OpenAlexaboutno aff
Gillian Balfour

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Political scienceState (computer science)Work (physics)LawPublic administrationCriminologySociologyEngineering

Abstract

fetched live from OpenAlex

Abstract The death of Ashley Smith represents the first time in Canadian legal history that correctional officers were criminally charged in the death of a prisoner under the care of the state. In response to these unprecedented charges, the Union of Canadian Correctional Officers (UCCO) mounted a highly public campaign in defense of the officers. In this article, I review UCCO’s media statements following Smith’s death, submissions to various government review committees, and the current Global Agreement between UCCO and Correctional Service Canada (CSC) regarding federally sentenced women. I suggest these narratives work to reproduce administrative segregation as necessary to manage “troubled young women” who are constituted as an unsafe working condition for officers. I highlight the failure of UCCO to influence government policy, unlike the effective success of unions in the United States, and I challenge the place of UCCO in Canada’s trade union movement.

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)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.732

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0710.020
Scholarly communication0.0100.003
Open science0.0020.005
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.030
GPT teacher head0.291
Teacher spread0.261 · 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 designNot applicable
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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Law and Society / Revue Canadienne Droit et Société→Same topicCriminal Justice and Corrections Analysis→French-language works237,207→