A highly charged field: mapping energies, currents and desires for reform in Canadian expert responses to drug law
Notice bibliographique
Résumé
While many experts consider major changes to legal approaches to drug use necessary, achieving such change has proven to be difficult. The political process is often seen as integral to bringing about change, largely due to orthodox understandings of the ‘nature’ of law, in which law is made by parliaments and capable of revision in only limited instances. In recent years, theorists such as Bruno Latour (2009, 2013), Andreas Philippopoulos-Mihalopoulos (2015) and Serge Gutwirth (2015) have taken a more expansive view of the nature of law and its effects. According to these theorists, law also emerges from outside the political process, including through various practices such as those of professionals working within legal systems, and those engaged in resistance, navigation and subversion (Seear, 2020). This article explores these processes using Karen Barad's (2015) work on lightning. As we will explain, Barad presents lightning as a ‘queer’, non-linear, uncertain and indeterminate phenomenon, using it to understand causation in new ways. Along with Barad's ideas, the article draws on interview data (N = 35) collected for two research projects in Canada. These interviews were conducted with senior drug use-related policy makers, service providers, advocates and lawyers based in British Columbia and Ontario, Canada. The interviews explore how key Canadian experts view drug law, debates about law and policy and whether they support reform. We also explore how these experts navigate the criminalisation of drugs and whether any insights can be drawn from their practices, including their attempts to navigate, subvert or change the law. First we consider experts’ concern about current prohibitionist legal frameworks, finding it widespread, along with appetite for change. Second, we examine experts’ accounts of strategies used for working around or challenging punitive frameworks. We find that change, like lightning, is complicated and messy; simplistic approaches to changes are not always possible, and may in fact make matters worse. There are multiple, unpredictable effects in engaging and resisting law, and thus difficulty in tackling criminalisation in any clear and simple way. Practices and processes of responding to and resisting drug-use criminalisation can thus be understood in terms that reflect the ‘queer’, indeterminate, unpredictable and multidirectional nature of Barad's lightning. In concluding, we note that this way of understanding legal processes and resistance has implications for the future of Canadian drug policy, including debates about whether it is possible to work within a framework of overarching criminalisation.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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