The message in a policy: how people who use drugs who are stably housed and employed interpret decriminalization in British Columbia, Canada
Bibliographic record
Abstract
Background . Drug policies communicate messages about drugs and the people who use them. In 2023, British Columbia, Canada, implemented a three-year exemption to decriminalize small amounts of most illicit substances in response to the drug toxicity crisis. The policy aimed to increase access to health and social services by reducing stigma. This study explores how people who use drugs in socioeconomically stable positions—stably housed and employed—understood and interpreted decriminalization in its first year.Methods . We conducted 40 semi-structured interviews with participants in the year following the new policy’s implementation (2023) and analyzed them using reflexive thematic analysis.Results . Participants interpreted the policy in various ways, reflecting their social positions and experiences. Some saw it as a shift in how drugs and drug use were viewed publicly, while others questioned whether it would meaningfully support those most vulnerable to criminalization. Although many did not see themselves as the target of decriminalization, some felt the policy helped them stop viewing themselves as criminals.Conclusion . Our findings contribute to understanding the diverse experiences and perspectives of people who use drugs and emphasize the importance of examining how policies are interpreted and understood by the public after implementation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".