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Record W4386033527 · doi:10.1080/07481187.2023.2246018

A qualitative study of factors involved in the helping behaviors of suicide prevention gatekeepers

2023· article· en· W4386033527 on OpenAlexaff
Corentin Montiel, Brian L. Mishara

Bibliographic record

VenueDeath Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPromotion (chess)Suicide preventionPsychologyQualitative researchPoison controlHelp-seekingMedicineMental healthPsychiatryPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

This study explores the factors involved in the capacity of newly trained suicide prevention gatekeepers to engage in the identification and support of people at risk of suicide. In-depth telephone interviews were conducted with 18 gatekeepers from various settings who had participated in a larger quantitative study of the impact of gatekeeper training. Conventional content analysis was performed on the data collected. Participants said that gatekeeper training provided key information and legitimized their role. Previous experience with suicidal friends and family members motivated their involvement and helped them to engage with at-risk individuals. Support available from the setting, including attitudes toward suicide, resources for referrals and promotion of the gatekeeper activities, were instrumental in gatekeepers' ability to fulfill their role. Gatekeeper programs may benefit from adopting a comprehensive approach to gatekeeper helping behaviors by attending to their contextual influences, and the effects of gatekeepers' personal experiences.

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 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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
GPT teacher head0.493
Teacher spread0.214 · 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 teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

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