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Record W2421350924

MEDICINAL CANNABIS LAW REFORM: LESSONS FROM CANADIAN LITIGATION.

2015· editorial· en· W2421350924 on OpenAlexaboutno aff
Ian Freckelton

Bibliographic record

VenuePubMed · 2015
Typeeditorial
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisConstructiveLaw reformJurisprudenceLawRecreationRelation (database)Political scienceMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

This editorial reviews medicinal cannabis litigation in Canada's superior courts between 1998 and 2015. It reflects upon the outcomes of the decisions and the reasoning within them. It identifies the issues that have driven Canada's jurisprudence in relation to access to medicinal cannabis, particularly insofar as it has engaged patients' rights to liberty and security of the person. It argues that the sequence of medicinal schemes adopted and refined in Canada provides constructive guidance for countries such as Australia which are contemplating introduction of medicinal cannabis as a therapeutic option in compassionate circumstances for patients. In particular, it contends that Canada's experience suggests that strategies calculated to introduce such schemes in a gradualist way, enabling informed involvement by medical practitioners and pharmacists, and that provide for safe and inexpensive accessibility to forms of medicinal cannabis that are clearly distinguished from recreational use and unlikely to be diverted criminally maximise the chances of such schemes being accepted by key stakeholders.

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)0.006
metaresearch head score (Gemma)0.040
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: Editorial · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0130.009
Scholarly communication0.0130.005
Open science0.0050.002
Research integrity0.0290.015
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.342
Teacher spread0.294 · 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
GenreEditorial

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

Citations6
Published2015
Admission routes1
Has abstractyes

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