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Record W2065728871 · doi:10.2747/0272-3638.33.8.1144

"A Little Heaven in Hell": The Role of a Supervised Injection Facility in Transforming Place

2012· article· en· W2065728871 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Geography · 2012
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDowntownTransformative learningHeavenNarrativeQualitative researchSample (material)SociologyPublic relationsMedicinePolitical scienceGeographySocial science

Abstract

fetched live from OpenAlex

While numerous studies on InSite (North America's first supervised injection facility) have been published in leading international journals, little attention has been given to the facility's role in the local culture of drug use and its transformation of place in Vancouver's Downtown Eastside. This study analyzes the transformative role of InSite in the lives of injection drug users (IDUs). Semi-structured qualitative interviews were conducted with a small, purposively chosen sample of IDUs attending InSite. Interviews were transcribed verbatim and analyzed thematically using NVivo 8 software. Participants' narratives indicate that attending InSite has had numerous positive effects in their lives, including changes in sharing behavior, improving health, establishing social support and saving their lives. Furthermore, attending InSite has been particularly effective in creating a unique microenvironment where IDUs are increasingly identifying the facility as their community center.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.271
Teacher spread0.252 · 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