MétaCan
Menu
Back to cohort
Record W4413878819 · doi:10.1177/00914509251371531

The State and the Legal Canadian Cannabis User: Revisiting Howard Becker

2025· article· en· W4413878819 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 · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsTrent UniversityOntario Tech UniversityDurham CollegeSt. Francis Xavier University
Fundersnot available
KeywordsCannabisState (computer science)SociologyCriminologyLawPsychoanalysisPolitical sciencePsychologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Drawing on Howard Becker's classic 1953 sociological interpretation of the process of becoming a cannabis user, this paper analyses how the Canadian state shapes the social and political meanings of cannabis and its use in the context of recent legalization. Our analysis moves from concrete face-to-face subcultural life studied by Becker to state discourses and administration, examining Canadian government commissions, task forces, and legislation that have thematically framed cannabis over the past 50 years. Becker's three stages of becoming a cannabis user are echoed in the Canadian context as: (1) learning to transfer trust to the licit market, (2) recognizing the cannabis high as a matter of individuated risk assessment, and (3) embracing official meanings of cannabis and its use. Finally, we show how this emergent domesticated cannabis consumer, as political ideal, sidelines projects of reparation and reconciliation with groups historically controlled and criminalized in Canada's long war on drugs.

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)0.002
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: none
Teacher disagreement score0.779
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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