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Record W7126282508

Revisiting cultural issues in suicide rates

2025· article· en· W7126282508 on OpenAlexaboutno aff
Diego De Leo, Müjde Altın

Bibliographic record

VenueRepository of the University of Primorsk (University of Primorska) · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Suicide ratesSuicide preventionPersistence (discontinuity)Poison controlDeveloped countryEpidemiologyInjury prevention
DOInot available

Abstract

fetched live from OpenAlex

Suicidal behaviors among different age groups show epidemiological differences between countries. Specifically, suicide rates for the younger populations appear to be lower in Latin-origin countries (such as Italy, Spain, and Portugal) in comparison to other Western countries (especially Anglo-Saxon countries such as Canada, New Zealand, and Australia). The opposite seems to be true for the older population, suggesting a cross- cultural pattern for suicidal behavior in different ages. The current study replicates a study published in 1999 and compares suicide data between 1990 and 1994 with more recent data from the years 2016 and 2020 to investigate the persistence of previously observed trends. Basically, the recent years’ data confirm the patterns evidenced a quarter of a century ago, and substantially confirm the existence of suicide trends embedded with countries’ cultural factors and traditions. This investigation underlines the importance of incorporating anthropology, sociology, ethnography, and geography while studying culture-related patterns in suicide.

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)0.012
metaresearch head score (Gemma)0.039
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 score0.020
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.004
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.273
Teacher spread0.255 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueRepository of the University of Primorsk (University of Primorska)Same topicSuicide and Self-Harm StudiesFrench-language works237,207