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Record W2035413013 · doi:10.1521/suli.2008.38.1.122

Farewell to the World: Suicide Notes from Turkey

2008· article· en· W2035413013 on OpenAlexaff
Birol Demirel, Taner Akar, Aslıhan Sayin, Selçuk Candansayar, Antoon A. Leenaars

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2008
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsIslamSuicide ratesOrder (exchange)Suicide methodsSuicide preventionPsychologyHistoryPoison controlMedicineMedical emergencyEconomics

Abstract

fetched live from OpenAlex

There has been limited study of suicide in Islamic countries. This paper marks the first study of suicide notes in Turkey, an Islamic country. Using a classification scheme, 49 suicide notes (a rate of 34.5%) were studied. The results show that note writers do not differ greatly from other suicides. Further analysis of younger (<40) and older (>40) suicide note writers reveal few significant differences. Our results, together with the results of classification studies in different countries, suggest that caution is in order in transposing findings from one country to other countries. Future study of suicide notes should, in fact, focus on cross-cultural investigation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.078
GPT teacher head0.341
Teacher spread0.263 · 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 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

Citations28
Published2008
Admission routes1
Has abstractyes

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