Comparing Drug Policy Windows Internationally
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
In this article, I compare and contrast policymaking processes in Canada and England and Wales between 1997 and the present day to provide insight into why the Canadian government approved the opening of a downtown Vancouver drug consumption room (DCR) named InSite in 2003, and why the British government has not yet done so. I also shed new light on why, since 2003, subsequent DCRs have not been opened in either Canada or England and Wales. I briefly consider future prospects for DCRs in both places. To accomplish this, I draw on Kingdon’s “Multiple Streams Theory,” which suggests that national government decision makers such as politicians are most likely to enact policy changes when there is an alignment of problems, policy options, and political circumstances. I argue that such conditions existed in Canada but not England and Wales, which helps explain why the Canadian government approved the opening of a DCR but the British government did not. I draw on primary data from national, provincial, and municipal government documents and national and local newspaper articles in both jurisdictions to make my argument, along with secondary data from published literature. In the process, I highlight the strengths and weaknesses of Kingdon’s (1984) work for understanding policy development in the highly controversial area of illicit drug use.
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.
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) | 0.001 | 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 | 0.001 |
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