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Record W135058930 · doi:10.1037/e509212013-001

Injection Drug Use among Homeless Adults with Mental Illness: A Gender-Based Analysis

2012· dataset· en· W135058930 on OpenAlexfundaboutno aff
Faith Eiboff, Julian M. Somers, Akm Moniruzzaman

Bibliographic record

VenuePsycEXTRA Dataset · 2012
Typedataset
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchSimon Fraser University
KeywordsMental illnessDrugPsychologyPsychiatryInjection drug useMental healthClinical psychologyDrug injection

Abstract

fetched live from OpenAlex

Increasing evidence suggests that women are disproportionately vulnerable to the serious health and social harms associated with injection drug use (IDU). This research examines the prevalence and health correlates of IDU, by gender, among a cohort of homeless adults with mental illness. The Vancouver At Home study is a research demonstration project investigating interventions for people who are homeless and living with mental illness. Participants completed a baseline questionnaire eliciting information on a detailed set of clinical, health, social and substance use measures. In multivariable models adjusting for severity of homelessness, and additionally sex work among females, IDU was positively associated with infectious disease and less severe mental illness. In addition, IDU was associated with the increased use of health and social services, but only among men. These findings suggest that gender-specific harm reduction, prevention and treatment strategies for IDU women should be prioritised as an important public health issue.

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: Observational · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.142
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.005

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 head0.050
GPT teacher head0.382
Teacher spread0.332 · 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 designObservational
Domainnot available
GenreDataset

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
Published2012
Admission routes2
Has abstractyes

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