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Record W4213166818 · doi:10.1177/13634615221076424

Suicide in cultural context: An ecosocial approach

2022· editorial· en· W4213166818 on OpenAlexaff
Laurence J. Kirmayer

Bibliographic record

VenueTranscultural Psychiatry · 2022
Typeeditorial
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsTypologyContext (archaeology)Embodied cognitionPoison controlSocial environmentThematic analysisSuicide preventionPsychologyMental healthSociologyDevelopmental psychologySocial psychologyQualitative researchPsychiatryMedicineSocial scienceAnthropologyEpistemologyGeography

Abstract

fetched live from OpenAlex

on suicide in cultural context. Developmental and social structural factors including exposure to violence, childhood abuse and privation, as well as intractable social problems that create psychic pain and a sense of entrapment have been shown to increase the risk of suicidal behavior. However, all of the major social determinants identified in suicide research are influenced or mediated by particular cultural meanings and contexts. To move beyond crude generalizations about suicide based on psychological theories developed mainly in Western contexts and culture-specific prototypes or exemplars, we need more fine-grained analysis of the experience of diverse populations. The articles in this issue provide clear illustrations of the impact of cultural and contextual factors in the causes of suicide, with implications for psychiatric research, theory, and practice. Cross-cultural research points to the possibility of developing a typology of social predicaments affecting specific sociodemographic groups and populations. This typology could be elaborated and applied in clinical and public health practice through an ecosocial approach that considers the ways that suicide is embodied and enacted in social systemic contexts.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.341
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations50
Published2022
Admission routes1
Has abstractyes

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