“Feed them, protect them, give them what they want”: exploring food as an occupational stress in Canadian federal penitentiaries
Bibliographic record
Abstract
In prior punishment studies, researchers examining food in prisons focused on incarcerated people’s experiences with food insecurity, food nutrition, and access to food, some even connecting food to deprivations as per the “pains of imprisonment” . Others have studied the evolving expectations that correctional officers (CO) care and deliver care to incarcerated people who rely on COs to meet their basic needs (food, clothing, shelter). We, in this article, analyzed interviews with federal COs (n = 101) to reveal how food can become a source of stress for COs in ways remarkably similar but starkly different than how food can stress a prisoner. Departing with the knowledge that COs are responsible for the reproval and supervision of food for incarcerated people within the penitentiary food system. The food system, in turn, affects COs’ abilities to access, produce, and consume their own food while overseeing food delivery, supervision, and reproval among imprisoned people. Policy considerations and recommendations are suggested.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".