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Record W7060903932

A Partial Ceasefire in Canada’s War on Drugs? Reflections on the Impending Legalization of Marijuana

2016· article· en· W7060903932 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsLegalizationMandateGovernment (linguistics)ParliamentLegislationEnforcementCriminal lawThrone
DOInot available

Abstract

fetched live from OpenAlex

Canada appears to be at a turning point in its relentless prosecution of our version of the War on Drugs with its rethinking of the reliance on criminal law to suppress one of the myriad of banned substances. The Liberal Party of Canada ran on an election platform which included a promise to "legalize, regulate, and restrict access to marijuana."' The new Government published the Minister's Mandate Letter directing her to "create a Federal-provincial/territorial process that will lead to the legalization and regulation of marijuana." The Throne Speech repeated the platform undertaking, the Prime Minister announced the appointment of a parliamentary secretary to shepherd the issue through the ensuing process, and the Minister of Health later made a commitment before the United Nations to "introduce legislation in Spring 2017 that ensures we keep marijuana out of the hands of children and profits out of the hands of criminals." These apparent guarantees suggest that the Government is finally poised to declare a partial ceasefire. Nonetheless, such intentions could still be thwarted as Parliament faces the numerous policy choices inherent in this limited shift towards legalizations against a background of over one hundred years of reflexive reliance on the criminal law to control an ever wider range of non-medically authorized drugs.\nIn this article, I will examine Canada's historic dependence on criminal prohibitions in which it has marched alongside other nations, but where there are now some discernable rifts in the enforcement phalanx. Having explained the past and present domestic and international allegiances to the war, I will set out some of the huge costs imposed by this legacy. My intentions are to explain the lingering range of conceptual and policy barriers to the expeditious creation of a fresh approach in what may be the dying days of prohibition and to suggest that Canada must remain mindful of the need to confront its past as it reforms the law. I will then delineate some of the novel dilemmas that Parliament faces as it attempts to modernize its response to the current illicitness of Schedule II (Cannabis) of the Controlled Drug and Substances Act while recognizing some of the harms associated with marijuana. The route to legalization will be meandering and complicated, with the risk that the project will be abandoned or diverted before it reaches its goal. On the other hand, our inherited drug policy has been so overextended and self-defeating that there are powerful incentives to move on from the failures of the 1900s. Having provided some guidance to this legislative minefield, I will survey a few examples of jurisdictions that have taken steps that Canada might consider. These are early days and we may not reach the promised land of legalization of marijuana but we are closer than ever before. The lessons learned here may provide a springboard to equally necessary initiatives regarding other substances, if Canada sees value in its retreat on marijuana, although there is as yet no indication that there will be any comparable surcease in the other campaigns of the war.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.215
Threshold uncertainty score0.911

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0580.024
Scholarly communication0.0170.004
Open science0.0030.004
Research integrity0.0100.017
Insufficient payload (model declined to judge)0.0080.001

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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
Published2016
Admission routes1
Has abstractyes

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