Expertise, Truth, and Urban Policy Mobilities: Global Circuits of Knowledge in the Development of Vancouver, Canada's ‘four Pillar’ Drug Strategy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is growing attention across the social sciences to the mobility of people, products, and knowledge. This entails attempts to extend and/or rework existing understandings of global interconnections and is reflected in ongoing work on policy transfer—the process by which policy models are learned from one setting and deployed in others. This paper uses a case study of the development of an innovative approach to drug policy in Vancouver, British Columbia to deepen our understanding of what I call ‘urban policy mobilities.’ It details the often apparently mundane practices through which Vancouver's ‘four-pillar’ drug strategy—which combines prevention, treatment, enforcement, and harm reduction—was learned from cities outside North America and is now increasingly taught elsewhere. In doing so it draws on a neo-Foucauldian governmentality approach to emphasize the role of expertise (specialized knowledge held by many actors, not just credentialed professionals) and the deployment of certain powerful truths in the development of the policy. The paper concludes by discussing the spatialities of urban policy mobilities and raising questions about the political and conceptual importance of also maintaining a focus on the causes and consequences of policy immobilities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it