MétaCan
Menu
Back to cohort
Record W4392888043 · doi:10.21276/ierj24173556736095

THE RELATIONSHIP BETWEEN THE LOCAL COMMUNITY OF BRITISH COLUMBIA AND SUPERVISED INJECTION FACILITIES: A SHORT LITERATURE REVIEW

2024· article· en· W4392888043 on OpenAlexaboutno aff
C H Chung

Bibliographic record

VenueInternational Education and Research Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsnot available
Fundersnot available
KeywordsHarm reductionInjection drug useHarmGovernment (linguistics)Intervention (counseling)Public relationsBusinessPublic administrationSociologyPolitical scienceMedicineLawDrugDrug injectionNursingPublic healthPsychiatry

Abstract

fetched live from OpenAlex

The establishment of supervised injection facilities has been a journey fraught with challenges and difficulties, due to the cultural beliefs regarding harm reduction and drug users in British Columbia during the 1990s. It was evident that scientific evidence was not enough to convince authorities that supervised injection facilities would benefit drug users and the community. Cultural intervention was required to change the government’s opinion regarding this issue. For years, citizens and organizations fought for supervised injection facilities, and their efforts have contributed greatly to the establishment of these sites. This paper argues that the creation of supervised injection facilities can be attributed to the protests and actions executed by the community in British Columbia, as well as exploring the relationship between the local community and the establishment and preservation of supervised injection facilities.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.386
Threshold uncertainty score0.778

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0140.030
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.149
GPT teacher head0.471
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Education and Research JournalSame topicHIV, Drug Use, Sexual RiskFrench-language works237,207