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Record W2800846507 · doi:10.7202/1044308ar

Colorado vs Uruguay : deux modes opposés de légalisation du cannabis

2018· article· fr· W2800846507 on OpenAlexvenueno aff
Michel Gandilhon, Ivana Obradović, Nacer Lalam, Déborah Alimi, David Weinberger

Bibliographic record

VenueDrogues santé et société · 2018
Typearticle
Languagefr
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les légalisations de l’usage du cannabis récréatif intervenues en Uruguay et au Colorado constituent une rupture sans précédent dans l’histoire des politiques publiques visant à réguler l’usage de cette substance. Une approche comparative des deux processus dans chacun des deux pays fait apparaître toutefois que la notion de « légalisation » est insuffisante pour rendre compte de la nature et de l’effectivité des politiques menées. En effet, des oppositions fondamentales, déterminées par des philosophies et des traditions politiques et nationales bien spécifiques, séparent les deux approches. Ces divergences tiennent notamment à la place et au rôle de l’État, ainsi qu’à l’importance accordée aux mécanismes du marché dans le processus de régulation. Les deux expériences en cours démontrent que les processus de légalisation sont aussi l’expression de visions de la société et du monde différentes, de même que de traditions nationales bien spécifiques.

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)0.003
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.047
GPT teacher head0.388
Teacher spread0.341 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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