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Record W3040700971 · doi:10.1177/1461355720935917

Enhancing police engagement: An examination of the links between fair treatment and job engagement in a Canadian police organization

2020· article· en· W3040700971 on OpenAlex
Angela Workman-Stark

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

VenueInternational Journal of Police Science & Management · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsAthabasca University
Fundersnot available
KeywordsOrganizational justiceWork engagementProcedural justiceDistributive justicePsychologyCriminal justicePerceptionInteractional justiceIdentification (biology)Work (physics)Economic JusticeSocial psychologyPublic relationsCriminologyOrganizational commitmentPolitical scienceLaw

Abstract

fetched live from OpenAlex

This study examined the relationships between organizational justice and job engagement, and whether these relationships were stronger for civilian staff vs police officers. Using survey data from a Canadian police organization, the results suggested that when police personnel perceived they were treated fairly, they were more likely to have a sense of psychological safety, which, in turn, enhanced their identification with their organization and increased their engagement with work. Findings further demonstrated that distributive justice (i.e., equitable outcomes) was more important to police officers than civilian staff, particularly, in relation to enhancing their attachment with the organization. In other words, as perceptions of distributive justice increased so did organizational identification; however, this effect was strongest for police officers. In general, organizational justice has positive implications for police organizations, namely in encouraging police personnel to engage their full selves at work.

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)0.003
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 score0.861
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.055
GPT teacher head0.369
Teacher spread0.314 · 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