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Record W2981960267 · doi:10.1177/0030222819882849

Dimensionality of Suicide Behaviors: Results within Two Samples from Two Different Countries

2019· article· en· W2981960267 on OpenAlexaffabout
Rui C. Campos, Ronald R. Holden, Joana Spínola, Diandra Marques, Christine Lambert

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2019
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsQueen's University
FundersFundação para a Ciência e a Tecnologia
KeywordsPsychologyDimension (graph theory)Suicidal ideationPortugueseSample (material)Hofstede's cultural dimensions theoryPhenomenonSocial psychologyBelongingnessPoison controlSuicide preventionMedicineMedical emergencyMathematics

Abstract

fetched live from OpenAlex

Across two countries and two languages, this research examined the multidimensional associations of suicide behaviors (i.e., life-time attempts, life-time communication of intent to others, life-time self-harming, life-time suicide notes, and current suicide ideation) and empirically relevant psychological risk factors (i.e., different facets of mental pain, perceived burdensomeness, thwarted belongingness, and acquired capability), controlling for depressive symptoms. For the Portuguese sample, two underlying dimensions emerged: an ideation dimension and a behavioral dimension, and for the Canadian sample, three dimensions emerged: an ideation dimension and two behavioral dimensions that can be viewed as a splitting of the Portuguese second dimension. Results highlight possible cultural differences between the two countries and that suicide behaviors should be viewed as a multidimensional phenomenon not as a one-dimensional continuum.

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)0.004
metaresearch head score (Gemma)0.014
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 score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.054
GPT teacher head0.342
Teacher spread0.288 · 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

Citations9
Published2019
Admission routes2
Has abstractyes

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Same venueOMEGA - Journal of Death and DyingSame topicSuicide and Self-Harm StudiesFrench-language works237,207