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Record W3215106530 · doi:10.1177/26338076211058250

Fear of infectious diseases and perceived contagion risk count as an occupational health and safety hazard: Accounts from correctional officer recruits in Canada

2021· article· en· W3215106530 on OpenAlex
Marcella Siqueira Cassiano, Fatih Ozturk, Rosemary Ricciardelli

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Criminology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOfficerHazardDistancingOccupational safety and healthPerspective (graphical)MedicinePsychologyCoronavirus disease 2019 (COVID-19)Political scienceInfectious disease (medical specialty)Law

Abstract

fetched live from OpenAlex

Prisons are poorly ventilated confined spaces with limited physical distancing opportunities, making an environment conducive to the spread of infectious diseases. Based on empirical research with correctional officer recruits in Canada, we analyze the reasons and sources of fear, and the measures that recruits adopt to counter their fear of contagion. Our study marks an advance in the correctional work literature, which, to date, has tended to view perceived contagion risks as a workplace challenge that can be overcome with occupational skill and experience. In contrast with the existing literature, we present fear and perceived contagion risk as an “operational stress injury” that affects all correctional officers; a structural occupational health and safety problem that needs redressing from the labor policy perspective.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.389
Teacher spread0.327 · 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