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Record W4281706283 · doi:10.1177/09646639221104253

The Embodiment of Contempt: Ontario Provincial Prison Food

2022· article· en· W4281706283 on OpenAlexafffundabout
Kelly Struthers Montford

Bibliographic record

VenueSocial & Legal Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPrisonContemptFoodwaysCriminologyPower (physics)PoliticsPsychologySociologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Prison food is central to the prison experience and is a physically invasive manifestation of carceral power. This article draws on 61 interviews with individuals with lived experience of provincial prisons in Ontario, Canada. Participants reported that the food was unhealthy, small-portioned, bland, and steamed to the point that they could not discern what they were eating. Others reported living in fear of the food, whether because it was molding, spoiled, or had been tampered with. For many participants, their experience of incarceration was that of hunger and unwanted bodily changes. Poor quality prison food bolstered an underground food economy in which trading, gambling, or intimidation were used by prisoners to access more and/or better foods. Overall, prison food was a means through which social, political, and institutional contempt for prisoners was communicated to and embodied by prisoners.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.340
Teacher spread0.290 · 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 teacher head, not a consensus.

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

Citations9
Published2022
Admission routes3
Has abstractyes

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