The drug war must end: The right to life, liberty and security of the person during the COVID-19 pandemic for people who use drugs
Bibliographic record
Abstract
Since the start of the opioid epidemic in 2016, the Downtown Eastside community of Vancouver, Canada, has lost many pioneering leaders, activists and visionaries to the war on drugs. The Vancouver Area Network of Drug Users (VANDU), the Western Aboriginal Harm Reduction Society (WAHRS), and the British Columbia Association People on Opiate Maintenance (BCAPOM) are truly concerned about the increasing overdose deaths that have continued since 2016 and have been exacerbated by the novel coronavirus (SARS-COVID-19) despite many unique and timely harm reduction announcements by the British Columbia (B.C.) government. Some of these unique interventions in B.C., although in many cases only mere announcements with limited scope, are based on the philosophy of safe supply to illegal street drugs. Despite all the efforts during the pandemic, overdose deaths have spiked by over 100% compared to the previous year. Therefore, we urge the Canadian federal government, specifically the Honorable Patty Hajdu, the federal Minister of Health, to decriminalize simple possession immediately by granting exemption under the Controlled Drugs and Substances Act. The Canadian federal government has a moral obligation under Sect. 7 of the Canadian Charter of Rights and Freedoms to protect the basic human rights of marginalized Canadians.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".