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Record W4225371266 · doi:10.1186/s12954-022-00607-7

Harm reduction calls to action from young people who use drugs on the streets of Vancouver and Lisbon

2022· letter· en· W4225371266 on OpenAlexafffundabout
Joana Canêdo, Kali-Olt Sedgemore, Kelly Ebbert, Haleigh Anderson, Rainbow Dykeman, Katey Kincaid, Cláudia Camila Dias, Diana Silva, Reith Charlesworth, Rod Knight, Danya Fast

Bibliographic record

VenueHarm Reduction Journal · 2022
Typeletter
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of British ColumbiaBritish Columbia Centre on Substance UseAssembly of First Nations
FundersCanadian Institutes of Health ResearchHospital for Sick ChildrenMichael Smith Health Research BCVancouver Foundation
KeywordsHarm reductionContext (archaeology)PovertyHarmHealth psychologySociologyAction (physics)CriminologyPolitical scienceEconomic growthMedicinePublic healthHistoryLawNursing

Abstract

fetched live from OpenAlex

Vancouver, Canada, and Lisbon, Portugal, are both celebrated for their world-leading harm reduction policies and programs and regarded as models for other cities contending with the effects of increasing levels of drug use in the context of growing urban poverty. However, we challenge the notion that internationally celebrated places like Lisbon and Vancouver are meeting the harm reduction needs of young people who use drugs (YPWUD; referring here to individuals between the ages of 14 and 29). In particular, the needs of YPWUD in the context of unstable housing, homelessness, and ongoing poverty-a context which we summarize here as "street involvement"-are not being adequately met. We are a group of community and academic researchers and activists working in Vancouver, Lisbon, and Pittsburgh. Most of us identify as YPWUD and have lived and living experience with the issues described in this comment. We make several calls to action to support the harm reduction needs of YPWUD in the context of street involvement in and beyond our settings.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.372
Teacher spread0.302 · 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
GenreEmpirical

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

Citations38
Published2022
Admission routes3
Has abstractyes

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