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Planned and Unplanned Complex Suicides: A 5‐year Retrospective Study

2007· article· en· W2067318868 on OpenAlexaff
Stéphanie Racette, Anny Sauvageau

Bibliographic record

VenueJournal of Forensic Sciences · 2007
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsSuicide methodsSuicide preventionInjury preventionPoison controlIncidence (geometry)Human factors and ergonomicsRetrospective cohort studyOccupational safety and healthMedicineDemographyMedical emergencyPsychiatryPsychologySuicide ratesSurgerySociology

Abstract

fetched live from OpenAlex

The notion of planned and unplanned complex suicides first appeared in 1974 by Marcinkowski and, since then, no systematic study of complex suicides has been published in the English forensic literature. Here, the authors present a 5-year retrospective study of complex suicides. Nineteen complex suicides were reviewed: five unplanned and 14 planned, including the first case of an unplanned complex suicide in a woman. All cases were analyzed in terms of gender, age, methods of suicide, the presence of a suicide note, and past suicide attempts, and statistically compared with a 50-case sample of simple suicides. A further comparison was established with compiled data from the literature. Similarities were revealed regarding incidence of complex suicides, male gender predominance, and types of methods used. In contrast, results showed a higher average age for planned complex suicide victims. Finally, the authors discuss the application of the complex suicide definition.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.070
GPT teacher head0.369
Teacher spread0.298 · 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 designObservational
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

Citations77
Published2007
Admission routes1
Has abstractyes

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