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Medicine, Moral Panic, and the International Context of Canadian Cannabis Prohibition

2019· article· en· W2998784690 on OpenAlexaffabout
Couchman

Bibliographic record

VenuePharmacy in History · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsQueen's University
Fundersnot available
KeywordsPolitical scienceLegislatureMandateCannabisContext (archaeology)Government (linguistics)LawPublic administrationHarmMedicinePsychiatry

Abstract

fetched live from OpenAlex

Amongst controlled substances in Canada, cannabis now occupies the anomalous position of being both a medicinal and recreational drug, the legal status of which is currently governed by two parallel systems—an intentionally constructed legislative framework borne out of a federal election mandate, and a medical access program originally formed through a series of reluctant governmental concessions resulting from various high court cases. Across the world, lawmakers and public health officials are increasingly calling for an approach to drugs premised on the principles of education, harm reduction, and restricted legal access. In this sense, Canada’s experiment in creating a national and government regulated legal market in cannabis serves as an integral part of a wider reconsideration of the multilateral policy framework underlying official attitudes towards illicit substances. This article examines the relationship between this international regulatory apparatus, Canadian policymakers in the legal and healthcare sectors, and the origins, evolution, and eventual abolition of cannabis prohibition in Canada. It draws on an eclectic variety of sources, including specialized monographs, peer-reviewed articles, contemporary journals, Parliamentary debates, governmental commissions, and reports by the League of Nations and United Nations.

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.798
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.312
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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