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Record W2120744003 · doi:10.1177/1049732312469465

The Process of Safer Crack Use Among Women in Vancouver’s Downtown Eastside

2012· article· en· W2120744003 on OpenAlexaffabout
Ingrid Handlovsky, Vicky Bungay, Joy L. Johnson, J. Craig Phillips

Bibliographic record

VenueQualitative Health Research · 2012
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSAFERDowntownThematic analysisInterpersonal communicationAgency (philosophy)PsychologySpace (punctuation)Qualitative researchMedicineSocial psychologySociologyComputer securitySocial science

Abstract

fetched live from OpenAlex

In this article we discuss the findings from a grounded theory study in which we explored how women residing in Vancouver's Downtown Eastside (DTES) minimized some of the physical, psychological, and interpersonal harms associated with crack cocaine use, and identify the social, economic, and political factors that influence safer use. Data were collected over a 3-month period and involved group interviews with 27 women at an agency run by drug users in the DTES. A preliminary theory of safer crack use is discussed, consisting of the central phenomenon of caring for self and others. In addition, four thematic processes are described: (a) establishing a safe physical space, (b) building trusting relationships, (c) learning about safer crack use, and (d) accessing safer equipment. Implications of the findings are discussed in relation to supporting women's efforts and improving health outcomes.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.006
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.371
GPT teacher head0.587
Teacher spread0.216 · 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 designQualitative
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

Citations12
Published2012
Admission routes2
Has abstractyes

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