MétaCan
Menu
Back to cohort
Record W2117888129 · doi:10.1027/0227-5910.28.s1.36

Railway and Metro Suicides

2007· article· en· W2117888129 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

VenueCrisis · 2007
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité du Québec à Montréal
Fundersnot available
KeywordsLimitingIncidence (geometry)IllusionIntervention (counseling)Forensic engineeringIncident reportMedicineMedical emergencyPsychiatryPsychologyEngineering

Abstract

fetched live from OpenAlex

This article reviews research on railway and metro (underground and subway) suicides around the world. Although the incidence and survival rates vary and standardized methodologies are lacking, it is evident that there is a high incidence among psychiatric patients and at stations, crossings, and track areas near psychiatric institutions. Fictional and news reports of railway and metro suicides are related to increased rates, and false beliefs about a certain, fatal, and painless outcome may contribute to use of this method. Train drivers and rail personnel are often traumatized and in need of personal support after the incident. Most prevention involves surveillance, limiting access to tracks, or prompt intervention during an attempt. Other potential strategies include focusing upon the high-risk populations of previous attempters and patients in psychiatric facilities near stations and tracks and changing attitudes concerning the acceptability of this method to ensure that potentially suicidally active individuals are not under the illusion that this is a certain and painless method of death.

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 score0.272
Threshold uncertainty score0.982

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 head0.038
GPT teacher head0.343
Teacher spread0.305 · 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