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Record W4295124082 · doi:10.1177/07340168221121314

“This Job has Changed Me”: Work Life Conflict, Self and Social Identity in Correctional Work

2022· article· en· W4295124082 on OpenAlexafffundabout
Laura McKendy, Rosemary Ricciardelli

Bibliographic record

VenueCriminal Justice Review · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsSocial psychologyPsychologyIdentity (music)Work (physics)StressorMental healthPersonalitySocial identity theoryRole conflictSociologySocial groupClinical psychology

Abstract

fetched live from OpenAlex

Growing research demonstrates the toll of correctional work on the mental health and well-being of staff. Within this body of work, researchers note that work life conflict is a significant stressor faced by correctional workers, though minimal research has examined this topic qualitatively. Drawing on open-ended survey responses from a study on provincial and territorial correctional worker well-being in Canada, we consider how different types of work life conflict, including time, strain and behavior based conflicts, impact sense of self and social identities among workers. More specifically, we examine how work life conflicts give way to: changes in self tied to negative impacts on personality, disposition, and attitudes; loss of self due to lack of time and emotional energy to enact non-work roles and identities; and loss of social identities as a result of both externally and self-imposed forms of social isolation. Findings highlight how work life conflict can have cumulative effects resulting in estrangement with respect to one's self, others, and society more generally.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.224
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.209
GPT teacher head0.443
Teacher spread0.234 · 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 designNot applicable
Domainnot available
GenreReview

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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