Decriminalization or police mission creep? Critical appraisal of law enforcement involvement in British Columbia, Canada's decriminalization framework
Bibliographic record
Abstract
The unregulated drug toxicity crisis in British Columbia (BC), Canada, has claimed over 14,000 lives since 2016. The crisis is shaped by prohibitionist policies that has led to the contamination of the unregulated drug supply, resulting in a surge of fatal and non-fatal overdose events. The criminalization of drug users exacerbates this situation, pushing individuals into carceral systems for the possession of and/or social practices related to drug use. This commentary examines the involvement of policing in the development, and throughout the first 15 months of its implementation, of BC's decriminalization framework. We highlight concerns regarding police discretion, the expansion of scope, and the interweaving of carceral logics into policies that purport to be public health-oriented.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.047 | 0.037 |
| Scholarly communication | 0.022 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".