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Record W2982449524 · doi:10.1027/0227-5910/a000632

Sexual and Gender Minorities' Readiness and Interest in Supporting Peers Experiencing Suicide-Related Behaviors

2019· article· en· W2982449524 on OpenAlex
Olivier Ferlatte, Travis Salway, John L. Oliffe, Hannah Kia, Simon Rice, Jeffrey Morgan, A.J. Lowik, Rod Knight

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

VenueCrisis · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British ColumbiaBritish Columbia Centre on Substance UseBC Centre for Disease ControlSimon Fraser UniversityUniversité de Montréal
Fundersnot available
KeywordsPsychologyIntervention (counseling)Suicide preventionPeer supportClinical psychologySuicide RiskPreferenceSuicide attemptPeer groupScale (ratio)Poison controlMedicinePsychiatrySocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

Abstract. Background: Gatekeeper training is a widely recommended suicide prevention intervention that encourages the development of knowledge and the identification and support of those at risk of suicide. Yet, this strategy has not been implemented among sexual and gender minorities (SGM), a group at high risk of suicide. Aim: The aim of this study was to describe the readiness and interest of SGM in supporting peers experiencing suicide-related behaviors. Method: We analyzed data from an online cross-sectional survey of Canadian SGM ( n = 2778). Results: In total, 90% of participants had ≥1 SGM peer with depression, and 73% had ≥1 SGM peer who had previously attempted suicide; 74% said they knew what to do to support a peer experiencing suicide risk, and 77% indicated they knew where to refer them. Furthermore, 94% were interested in learning how to recognize signs of suicidality, while 95% were interested in learning skills to support a peer struggling with suicidality and 81% of those indicated a preference to learn these skills online. Limitations: The study used a nonprobability sample and cross-sectional design. Conclusion: SGM are largely interested in learning suicide prevention skills and, as such, more resources are needed to implement and scale up evidence-based approaches for gatekeeper training among SGM.

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)0.000
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 score0.043
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.398
Teacher spread0.319 · 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