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Record W4405564635 · doi:10.1016/j.drugpo.2024.104688

Criminalizing public space through a decriminalization framework: The paradox of British Columbia, Canada

2024· article· en· W4405564635 on OpenAlexaffabout
Tyson Singh Kelsall, Jasmine Veark, Molly Beatrice

Bibliographic record

VenueInternational Journal of Drug Policy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of CalgarySimon Fraser University
Fundersnot available
KeywordsDecriminalizationPublic spaceSpace (punctuation)CriminologyPolitical scienceLawSociologyEngineeringComputer science

Abstract

fetched live from OpenAlex

This commentary explores a recent shift in British Columbia's drug policy under a novel drug "decriminalization" framework. We focus on the province's move toward "recriminalization" under this framework. In short, recriminalization was a shift in BC's drug decriminalization framework to only apply in private residences, and be removed from essentially all outdoor spaces. This policy change was completed through an agreement with the federal government amid a public health emergency. Since 2016, BC has faced a severe crisis of drug-related overdoses and poisonings, driven by a toxic and unregulated drug supply compounded by prohibitionist policies. Expert recommendations for increasing access to a regulated drug supply have repeatedly dismissed as solutions by the governing BC New Democratic Party, opting instead for measures that do not undercut the toxic drug supply. We examine the sociolegal context of the BC government decision to recriminalize drug use in 2024, including attempts to criminalize recent drug use and police suspicion of substance use. These drug law reforms, understood here as forms of biopolitical violence, reflect a broader trend of using drug policies as tools for social and spatial regulation. By analyzing the sociolegal implications of these policies, the commentary situates the BC government's actions within a framework of sanctioned biopolitical massacre, highlighting the tension between purported decriminalization efforts and the actual enforcement strategies that perpetuate harm and exclusion. This examination underscores the complex interplay between drug policy, public health crises, and state power in the context of systemic colonial and racialized control that may be adaptable to other regions considering drug law reform.

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)0.005
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.240
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0560.020
Scholarly communication0.0170.003
Open science0.0050.004
Research integrity0.0140.017
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.341
Teacher spread0.316 · 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

Citations9
Published2024
Admission routes2
Has abstractyes

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