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Record W4388586938 · doi:10.52975/llt.2023v92.007

Prison and the Work Ethic

2023· article· en· W4388586938 on OpenAlexaffvenueabout
Greg McElligott

Bibliographic record

VenueLabour / Le Travail · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsTrespassPrisonDeportationCoercion (linguistics)SociologyLawPower (physics)State (computer science)CriminologyWork (physics)PoliticsDisciplinePolitical scienceScope (computer science)ImmigrationEngineering

Abstract

fetched live from OpenAlex

Despite persistent depictions to the contrary, coercion pervades the modern work experience and, in many significant respects, is underwritten by the power of the state. This article outlines some of the ways in which long-standing interventions by Canadian (and British) states continue to affect workplace relations today. To appreciate the scope of this effect, it is necessary to trespass across a number of disciplinary boundaries to include topics such as immigration, deportation, political policing, the legal foundations of employment law, the continuing influence of the British Poor Laws, and the role of prisons and prison labour in helping to regulate work standards. States acted to support proletarianization in a comprehensive way, but their tendency to favour large-scale, “labour-saving” building projects has often undermined the actual effectiveness of their efforts at social control. These patterns still haunt prison policy, as I will show toward the end of the article in discussing the Toronto South Detention Centre.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.147
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.038
Scholarly communication0.0070.001
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.295
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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes3
Has abstractyes

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