The Insite Decision and the Case for Supervised Consumption Facilities in Ottawa
Bibliographic record
Abstract
In this analysis of the Supreme Court of Canada’s decision to allow a safer supervised consumption facility (SCF) to remain open, we first describe the context in which Insite emerged in Vancouver, British Columbia. We go on to discuss the legal mobilization that led to the Supreme Court decision and the framework under which Insite currently operates. In the final part, we explore the decision’s implications for another jurisdiction – Ottawa, Ontario. Our starting assumption is that many of Ottawa’s vulnerable, and certainly marginalized, people could also benefit from access to a SCF. With a sizeable number of people who inject or inhale illicit drugs under dangerous circumstances, there is need for harm reduction strategies and additional primary care facilities in Ottawa. While there remain challenges to fostering harm reduction strategies in the city, we maintain that these are not insurmountable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".