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Record W2531386789 · doi:10.1177/0091450916670393

Perspectives on Cannabis Legalization Among Canadian Recreational Users

2016· article· en· W2531386789 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 · 2016
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsBrock UniversityUniversity of Alberta
Fundersnot available
KeywordsLegalizationCannabisDecriminalizationRecreationCriminologyCriminal justiceEffects of cannabisStigma (botany)Political sciencePsychologyLawPsychiatry

Abstract

fetched live from OpenAlex

This article examines the perspectives of a select group of 41 adult Canadian cannabis users on the decriminalization and legalization of cannabis. The research departs from previous research on cannabis use by focusing on employed adults working in a variety of occupations, including white-collar professionals and graduate students, who use cannabis for nonmedical, recreational purposes. Drawing on in-depth interview data, we explore their perspectives on Canadian law and legal policy and on the possible impact of cannabis reform policies on their own cannabis consumption. Overall, the vast majority of interview participants strongly favored the legalization of cannabis use for the following reasons: (a) prohibition is unjust, (b) economic benefits, (c) reducing violent crime associated with the drug trade, (d) reducing the cost of the criminal justice system, (e) increased safety, and (f) reducing the stigma associated with cannabis use. We conclude by discussing the implications of our research for the literature on cannabis normalization and drug policy 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.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.266
Teacher spread0.243 · 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