Canada’s highest court unchains injection drug users; implications for harm reduction as standard of healthcare
Bibliographic record
Abstract
North America's only supervised injection facility, Insite, opened its doors in September of 2003 with a federal exemption as a three-year scientific study. The results of the study, evaluated by an independent research team, showed it to be successful in engaging the target group in healthcare, preventing overdose death and HIV infections while increasing uptake and retention in detox and treatment. The research, published in peer-reviewed medical and scientific journals, also showed that the program did not increase public disorder, crime or drug use. Despite the substantial evidence showing the effectiveness of the program, the future of Insite came under threat with the election of a conservative federal government in 2006. As a result, the PHS Community Services Society (PHS), the non-profit organization that operates Insite, launched a legal case to protect the program. On 30 September 2011, Supreme Court of Canada ruled in favour of Insite and underscored the rights of people with addictions to the security of their person under section 7 of the Charter of Rights and Freedoms (Charter of Rights). The decision clears the ground for other jurisdictions in Canada, and perhaps North America, to implement supervised injection and harm reduction where it is epidemiologically indicated. The legal case validates the personhood of people with addictions while metaphorically unchaining them from the criminal justice system.
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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 | 0.008 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.055 | 0.040 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".