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Record W7096571778

ATTEMPTED SUICIDE\tAMONG\tyOUNG ABORIGINAL PEOPLE\tWHO\tUSE\tINJECTION AND NON-INJECTION\tDRUGS\tIN\tTWO CANADIAN CITIES

2009· article· en· W7096571778 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)OddsLogistic regressionOdds ratioVulnerability (computing)CohortSuicide preventionConfidence interval
DOInot available

Abstract

fetched live from OpenAlex

Objectives. Aboriginal leadership and families are deeply concerned about the rate of suicide attempt among their young people. The objectives of this study were to (a) describe the preva-lence of suicide attempt and (b) to describe correlates of vulnerability to suicide attempts within a cohort of young Aboriginal people who use drugs in 2 Canadian cities. We aimed to situate the findings within the context of historical and lifetime trauma. Study design. The Cedar Project is a prospective cohort study involving 605 young Aboriginal people aged 14–30 who use drugs in Vancouver and Prince George, British Columbia, Canada. Methods. Multivariable logistic regression modelling identified independent predictors of suicide attempts. Estimates of adjusted odds ratios and 95 % confidence intervals were calculated. Result. In multivariable analysis, residing in Prince George (Adjusted Odds Ratio [AOR]: 1.80, 95%

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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
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

Citations0
Published2009
Admission routes1
Has abstractyes

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