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Record W2904578057 · doi:10.1177/1049732318816082

Suicide Prevention From the Perspectives of Gay, Bisexual, and Two-Spirit Men

2018· article· en· W2904578057 on OpenAlexafffund
Olivier Ferlatte, John L. Oliffe, Dennis R. Louie, Damien Ridge, Alex Broom, Travis Salway

Bibliographic record

VenueQualitative Health Research · 2018
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia
FundersCanadian Institutes of Health ResearchMovember CanadaMovember Foundation
KeywordsPsychologySuicide preventionInjury preventionPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

Although gay, bisexual, and two-spirit men (GBTSM) experience high rates of suicidality, there have been few empirical studies of prevention initiatives and policies that could address or reverse this major social problem. This article reports on a photovoice study of 29 GBTSM who had a history of suicidality or lost a fellow GBTSM to suicide. We focused our analysis on participants' perspectives on suicide prevention. Participants described four key considerations for GBTSM suicide prevention: (a) recognizing and addressing enduring homophobia, biphobia, and mental illness stigma; (b) provision of low-barrier, long-term, and GBTSM-affirming counseling; (c) de-isolation through peer support and community connection; and (d) fostering creativity and cultural resilience. By engaging GBTSM affected by suicide through photographs that depict their experiences and points of view, in this study, we offer concrete recommendations to reduce suicidality among GBTSM.

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)0.006
metaresearch head score (Gemma)0.007
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 score0.015
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0120.013
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0020.005
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 head0.653
GPT teacher head0.698
Teacher spread0.045 · 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

Citations30
Published2018
Admission routes2
Has abstractyes

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