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Record W2031005036 · doi:10.1080/07481180302906

MANY HELPING HEARTS: AN EVALUATION OF PEER GATEKEEPER TRAINING IN SUICIDE RISK ASSESSMENT

2003· article· en· W2031005036 on OpenAlex

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.

Bibliographic record

VenueDeath Studies · 2003
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsCanadian Memorial Chiropractic CollegeToronto Metropolitan University
Fundersnot available
KeywordsSuicide preventionPsychologyIntervention (counseling)Poison controlPeer groupInjury preventionPeer supportHuman factors and ergonomicsPeer reviewMedical educationProgram evaluationMedicineClinical psychologyPsychiatryMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

Literature reviews on suicide prevention programs have presented conflicting results on the efficacy of school-based prevention programs. Gatekeeper training and peer helping are both recommended as part of a comprehensive school-based prevention program, yet there is no literary evidence of the systematic evaluation of gatekeeper training for peer helpers. This study evaluated the efficacy of such training with high school peer helpers using a repeated measures design. Significant gains in knowledge about suicide and skills for responding to suicidal peers were evident immediately after training and 3 months later. There was also a significant improvement in positive attitudes toward suicide intervention following training. Although there was no control group, the research offers tentative support for the efficacy of training peer helpers in suicide risk assessment and indicates the importance of additional training for peer helpers.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.047
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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)0.0000.000

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 head0.239
GPT teacher head0.465
Teacher spread0.226 · 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