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Record W4416775364 · doi:10.1093/police/paaf054

Examining officers’ stance on the use of police diversion practices for drug use in British Columbia

2025· article· en· W4416775364 on OpenAlexafffundabout
Becca Wood, Zachary Rowan, Dawn Rault, Alissa Greer

Bibliographic record

VenuePolicing A Journal of Policy and Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsSimon Fraser University
FundersMichael Smith Health Research BC
KeywordsCriminal justiceContext (archaeology)Public healthQualitative researchDrug courtEconomic JusticeProcedural justiceSocial environmentSocial policy

Abstract

fetched live from OpenAlex

Abstract Recent discourse highlights the need to address drug use through public health and social justice frameworks rather than criminal justice. Police diversion—redirecting individuals to health and social services instead of arrest—emerged as a key strategy in this shift. In this study, we examine qualitative interview data from thirty-six police officers across five policing regions and nine ranks in British Columbia regarding their experiences with police diversion practices related to drug law enforcement. Their perspectives informed five themes related to the discretionary nature of police diversion, its role in relieving strain on the justice system, its potential to disrupt cycles of drug use, the importance of readiness among people who use drugs, and the need for greater system capacity. The evolving drug policy landscape in British Columbia, accompanied by investments in health and social services, offers a promising context to address drug use and the criminal justice system.

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)0.064
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.064
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.410
Teacher spread0.227 · 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 routes3
Has abstractyes

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