Our Common Principles: Exploring Harm Reduction Based Drug Policy as an Avenue for Sustainable Development in Urban Contexts
Notice bibliographique
Résumé
This thesis explores the conceptual and practical relationship between the goals of sustainable development and of contemporary drug policy in Canadian provinces and municipalities. By failing to address the global issue of substance abuse, particularly in urban contexts, the sustainable development community is likely unable to achieve many of its substantial social and ecological objectives. In Canadian cities, the abuse of recreational drugs has had deep social, economic and ecological consequences that have been accelerated, or in some cases created, by traditional prohibition-based approaches to drug policy. However, a more recent policy approach may provide a viable opportunity for sustainability scholars to engage with and help address this issue: the harm reduction approach. \nThis thesis focuses on the exploration of this opportunity by identifying overlapping principles and objectives that exist between harm reduction and sustainable development discourses. I review the literatures of harm reduction and sustainable development in order to identify common principles and historical experiences that could help to create a foundation for future collaboration. Emphases on social justice, social cohesion, community wellbeing and quality of life are identified as shared objectives throughout the literature. In addition, through the application of a sustainability assessment tool, several Canadian federal, provincial, and municipal harm reduction policy documents (HRPD) are shown to implicitly address a variety of sustainability concerns. I find that the HRPDs maintain a focus on a multitude of issues relevant to sustainability such as health, access to services, and democratic governance. Nevertheless, the results show that these documents largely fail to engage with ecological concerns relevant to drug policy, presenting an opportunity for learning and policy improvement in future iterations through the incorporation of a sustainability perspective. By understanding these synergies and disparities, future policy can be engaged to create co-beneficial, cross-discipline outcomes that help make progress toward more socially and environmentally sustainable communities, with an emphasis on wellbeing, inclusion and social justice. \nOther contributions of this research relate to the identification of potential bridging concepts, drawing from theories in geography, environmental governance and environmental justice. The identification of these concepts enables future research to be conducted and may be able to facilitate the translation of knowledge between the currently disparate literatures. Furthermore, recommendations are offered to both policy makers and practitioners that would help to make progress toward the goals of sustainable development as well as those of harm reduction. Overall, the findings of this research offer practical and theoretical contributions that serve to help address a pressing global issue, and in doing so identify substantial directions for new research.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,027 | 0,103 |
| Communication savante | 0,026 | 0,017 |
| Science ouverte | 0,004 | 0,023 |
| Intégrité de la recherche | 0,007 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».