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Enregistrement W1934743125 · doi:10.1111/j.1360-0443.2011.03405.x

MAKING SPACE FOR CANNABIS POLICY EXPERIMENTS

2011· article· en· W1934743125 sur OpenAlexaffabout
Wayne Hall, Benedikt Fischer, Simon Lenton, Peter Reuter, Robin Room

Notice bibliographique

RevueAddiction · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueCannabis and Cannabinoid Research
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésStalemateCannabisPolitical scienceEnforcementIllicit drugDrug controlLegislatureCriminologyLawPsychologyPsychiatryPoliticsDrug

Résumé

récupéré en direct d'OpenAlex

We thank Mark Kleiman for his considered and critical analysis of our book [1]. In the space of a brief reply we can address only some of the many interesting issues that he raised. We acknowledge that our book has not broken the cannabis policy stalemate. Our subtitle was, after all, moving beyond stalemate. Our aims were more realistic. We wanted to describe the important ways in which cannabis differs from other illicit drugs, namely: the greater extent of its global use, the modest adverse impacts it has on mortality and morbidity compared to the opioids and cocaine; and the selective and commonly discriminatory enforcement of criminal penalties against its use, even in countries such as the United States that are nominally tough on cannabis. We also wanted to summarize the international evidence on the mixed impacts of the limited policy reform options that are available to nation states under existing international drug control treaties. Secondly, we wanted to make the case for modifying the way that international control treaties govern cannabis to permit nation states to conduct and evaluate cannabis policy experiments that extend beyond minor variations in the severity of penalties for cannabis use. As Kleiman notes, such policy experiments could possibly include the regulation of a commercial cannabis market along the lines of current regulatory regimes for alcohol. We include this as one among a series of options without privileging it over the others. In choosing between these regimes, states will need to take into consideration many of the issues that Kleiman raised, namely, the potential irreversibility of such a policy; the likelihood that legal markets, lower price, implicit social approval and commercial promotion of the product could increase heavy cannabis use and cannabis-related harm; and uncertainty about the impact that increased cannabis use would have on alcohol-related harm. However, these states should not only look at the consequences of changing policy: they also need to examine the extensive adverse effects of current cannabis control regimes. We agree that there are policy options other than a legal cannabis market that deserve consideration as policy experiments. These include: the Spanish growers’ clubs; the Californian quasi-medical marijuana prescription regime; and state monopolies modelled on those adopted for alcohol in Scandinavia, Canada and many US states in the first part of the last century. All these are potentially interesting policy frameworks for cannabis, but there is necessarily very limited evidence on their impact because all are proscribed under current international treaties. Adequate evaluations will require serious trials and rigorous evaluations of these policy regimes. Our aim was to encourage the type of policy experiments and evaluations needed to better inform the development of cannabis policy. To that end we suggested how the international treaties could be liberalized to allow such experiments while allowing states to operate under the current treaty, if that is what they prefer. In our view, cannabis control systems that operate under the constraints of the current international regime fail to deliver good public policy and have an unfavourable balance of policy benefits and harms. There is a danger that the high standards that Mark Kleiman demands for evidence of the effectiveness of alternative cannabis policies will prevent the policy experimentation we advocate and so, by default, perpetuate the policy stalemate that we hoped to show a way beyond. None.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,287
Score d'incertitude au seuil0,505

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,075
Tête enseignante GPT0,374
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2011
Routes d'admission2
Résumé présentoui

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