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Record W4414155491 · doi:10.22215/apb.v2i4.5588

The Importance of Fairness in Building Officer Identity and Retention

2025· article· en· W4414155491 on OpenAlexaboutno aff
Angela Workman-Stark

Bibliographic record

VenueApplied police briefings : · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerFeelingIdentity (music)Procedural justiceSurvey data collectionOrganizational commitment

Abstract

fetched live from OpenAlex

This study used survey data collected from 298 Canadian police officers to examine the factors contributing to the potential attachments officers form with their roles as police officers and/or as members of a specific police service. The findings suggest that when officers perceive fair treatment and experience psychological safety in the workplace, they are more likely to identify with their organizations and their roles as police officers. However, female officers reported feeling less safe when raising concerns or seeking support, which in turn contributed to lower levels of organizational and professionalidentification. When key policies and practices - such as those related to promotion, career development, and rewards or discipline - are implemented fairly, and officers feel safe enough to speak up, police services are more likely to see increased organizational commitment, greater team effort, and reduced turnover. Fair practices and psychologically safe environments not only strengthen officer engagement but also enhance team performance and retention.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.813

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 studies0.0000.000
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 head0.030
GPT teacher head0.363
Teacher spread0.334 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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