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Record W2412453146 · doi:10.1177/1462474515623103

You are what you eat: Exploring the relationship between women, food, and incarceration

2016· article· en· W2412453146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePunishment & Society · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsPrisonSolidarityNegotiationResistance (ecology)Agency (philosophy)Context (archaeology)Power (physics)SociologyPsychologyPolitical scienceCriminologyLawPolitics

Abstract

fetched live from OpenAlex

Building on Thomas Ugelvik’s (2011) work, this article seeks to capture the food-related experiences and challenges faced by provincially and federally incarcerated women in Canada. This research shows that criminalized women engage with food in different ways than Ugelvik’s sample of men did while in prison. We consider how prison fare operates as a form of status degradation and how the less eligibility principle allows for incarcerated populations to be fed low-quality foods. This is followed by a discussion of how the ways in which women share and trade food demonstrates an ethic of care and a strategy of coping and resistance. Mealtime resistance via the storing, sharing, and trading of food exemplifies how women negotiate power in the carceral context; this use of individual agency, albeit limited, fosters togetherness and solidarity, making prison time temporarily more comfortable and manageable. By showcasing participants’ first-hand accounts of prison fare, we explore how women’s relationships with food shape their material experiences of incarceration.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.001
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 head0.095
GPT teacher head0.305
Teacher spread0.210 · 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