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Record W4378676231 · doi:10.1177/00938548231174900

Sources of stress among Federal Correctional Officers in Canada

2023· article· en· W4378676231 on OpenAlexafffundabout
Marcella Siqueira Cassiano, Rosemary Ricciardelli

Bibliographic record

VenueCriminal Justice and Behavior · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsSeniorityStress (linguistics)ScholarshipPrisonQualitative researchPsychologyApplied psychologyMedicineNursingCriminologyPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Most correctional officers describe their jobs as stressful. The current study advances the scholarship on correctional stress by offering a rare qualitative analysis that identifies, provides meaning, and contextualizes sources of stress in correctional services. This study complements the correctional stress literature, which, until now, has relied primarily on quantitative methodologies to identify and assess stress determinants. Forty-four correctional officers from Canada's federal prisons were interviewed about their primary source of stress. Findings indicate that staff (i.e., co-workers and managers), not prison residents, represent a primary source of stress in correctional work. In addition, job seniority and gossip were the main stress triggers associated with co-workers, while centralization of decision-making processes and a lack of instrumental communication and support triggered stress coming from managers.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.303
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations24
Published2023
Admission routes3
Has abstractyes

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