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Record W4415874419 · doi:10.21428/cb6ab371.40761a04

Drug decriminalization and policy alienation among frontline police in British Columbia: A qualitative study

2025· article· en· W4415874419 on OpenAlexaboutno aff
Sarah Ferencz, Alissa Greer, Amanda Butler

Bibliographic record

VenueCrimRxiv · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDecriminalizationQualitative researchAlienationQualitative analysisGovernment (linguistics)Qualitative property

Abstract

fetched live from OpenAlex

This qualitative study examines how frontline police officers in British Columbia experienced and adapted to Canada's first formal drug decriminalization policy 1 year after implementation.Drawing on 30 semistructured interviews and using thematic analysis with a policy alienation and street-level bureaucracy lens, we analyzed how officers felt alienated from the policy process and coped with this experience as frontline implementers.Key themes show that frontline officers experienced processes of policy alienation in various ways: they felt that the policy was misaligned with their frontline perspectives; the Policy undermined their ability to help people in their communities; and legal ambiguity surrounding the Policy was challenging to navigate.Their coping strategies revealed that officers interpreted and executed decriminalization in divergent ways.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.151
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0300.011
Scholarly communication0.0060.002
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.377
Teacher spread0.357 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2025
Admission routes1
Has abstractyes

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