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Record W3165554395 · doi:10.1093/police/paz055

Creating a Change Culture in a Police Service: The Role of Police Leadership

2018· article· en· W3165554395 on OpenAlex

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.

Bibliographic record

VenuePolicing A Journal of Policy and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCulture changePublic relationsService delivery frameworkService (business)Organizational cultureBusinessIdentification (biology)Process (computing)Political scienceMarketingSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Despite the increased emphasis on best practices and evidence-based policing, creating a change culture in police services has remained elusive. Few police agencies have developed the capacity to assess the effectiveness and efficiency of their operations, and there has often been a lack of innovative police leadership to lead reform efforts. This article presents a case study of a municipal police service that transformed the delivery of patrol services and, in so doing, altered the culture of the organization. The role played by an independent review of the department’s patrol division, the service delivery model that was developed, and the strategies used by senior management to secure buy-in from the membership via a department-wide collaborative process are discussed. The discussion concludes with the identification of key requirements for police leaders to create a change culture in their police services and, in so doing, improve the effectiveness and efficiency of the delivery of police services.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.183
GPT teacher head0.448
Teacher spread0.265 · 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