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Record W4404084532 · doi:10.1177/00914509241292479

Lay Perspectives on Drug (De)Criminalization and the (De)Stigmatization of People Who Use Illicit Drugs

2024· article· en· W4404084532 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueContemporary Drug Problems · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsBrock University
Fundersnot available
KeywordsCriminalizationCriminologyIllicit drugStreet drugsDrugPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Background Substance use stigma has been framed as contributing to the drug toxicity crisis. We theorize the political function of drug criminalization as contributing to a system of stigma that exerts social control over people who use illicit drugs (PWUID). Consequently, drug decriminalization may be a potential destigmatizing solution. Since decriminalization is often positioned as an antistigma intervention targeting the public, it is important to understand how laypeople conceptualize decriminalization. Methods We acquired, via a Freedom of Information request, 221 deputations sent to the City of Vancouver regarding Motion B.4, which would advance decriminalization. We used reflexive thematic analysis to explore: (1) how laypeople conceptualized drug (de)criminalization and its relation to the (de)stigmatization of PWUID; and (2) the potential implications of the various conceptualizations of (de)criminalization for the autonomy of PWUID. Results Supporters of Motion B.4 commonly assumed decriminalization would destigmatize PWUID. Supporters also often argue that the drug toxicity crisis is a public health problem, not a criminal one. However, the public health model of decriminalization advocated by some supporters still limited the autonomy of PWUID. Meanwhile, those opposed commonly positioned social control of PWUID as necessary, including opponents who argued that decriminalization was a form of systemic neglect that abandons PWUID. This view was echoed by some proponents, notably those who argued for a public health model of decriminalization. Finally, some proponents asserted that PWUID should be included in the policymaking process, though few deputations came from self-identified PWUID. All PWUID argued that decriminalization must exclude the police. Conclusion Our analysis of lay perspectives on decriminalization highlights the importance of models that adequately address all levels of stigma for PWUID. Models that fail to preserve the autonomy of PWUID are likely to reproduce their stigmatization.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.194
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.303
Teacher spread0.269 · 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