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Record W7111065475 · doi:10.60770/q8za-he24

Perceptions of police professionalisation in British Columbia: police reform study

2025· report· en· W7111065475 on OpenAlexaffabout

Bibliographic record

VenueMRU-Repo · 2025
Typereport
Languageen
Field
Topic
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPolice scienceCriminal justiceGovernment (linguistics)Criminal justice ethicsPerceptionMalpracticeEconomic JusticeCriminal offence

Abstract

fetched live from OpenAlex

This study, investigated the perceptions of British Columbians, police officers, and criminal justice experts as they relate to the professionalisation of policing in British Columbia. To gather data, the study included two province-wide surveys of British Columbians, a survey of BC police officers, and semi-structured interviews with various criminal justice experts. The results of the study showed that most of the public surveyed (≈70%) and many of the police (≈50%) would support the Government of British Columbia establishing a professional college of policing. What’s more, the results of this study also suggest most British Columbians (including many police officers) want the practice of policing to be more evidence-based, transparent, and responsive to societal demands. Considering a professional college of policing would be mandated to protect the public from policing malpractice and malfeasance, public confidence in, trust of, and support for the police would undoubtedly increase. Equally, by having all police officers in the province being mandated to become members of the professional college of policing (including members of the RCMP), standards would be elevated, and a healthier, more community-focused policing culture would likely emerge. Lastly, a professional college of policing could ultimately provide the much-needed opportunity and foundation upon which policing could become more democratic, effective, and community-focused –– supporting the practice of policing finally being divorced from its colonial roots.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.367
Teacher spread0.328 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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