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Record W3133243199 · doi:10.1186/s12954-021-00474-8

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

2021· letter· en· W3133243199 on OpenAlexaffabout
Russ Maynard, Ehsan Jozaghi

Bibliographic record

VenueHarm Reduction Journal · 2021
Typeletter
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsVancouver Native Health SocietyPHS Community Services Society
Fundersnot available
KeywordsHarm reductionGovernment (linguistics)LawHuman rightsPolitical sciencePossession (linguistics)Public administrationCriminologyPublic healthMedicineSociology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.217
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.313
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations28
Published2021
Admission routes2
Has abstractyes

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