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Record W1988407538 · doi:10.1016/s0924-9338(11)72277-5

The role of marital status, literacy, and urbanity in suicidal behavior by burns in the province of Khorasan, Iran

2011· article· en· W1988407538 on OpenAlexaff
Reza Alaghehbandan, Abdolaziz Rastegar Lari, Mohammad Taghi Joghataei

Bibliographic record

VenueEuropean Psychiatry · 2011
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsUrbanityMarital statusMedicineDemographyIncidence (geometry)PopulationLiteracyLiteracy rateEnvironmental healthPsychology

Abstract

fetched live from OpenAlex

A prospective study of all suicidal behaviors by burns requiring hospitalization was conducted in the province of Khorasan, Iran, from March 21, 2005 to March 20, 2006, to examine marital status, urbanity and literacy among these patients. Data were obtained through interviews during the course of hospitalization. A total of 130 patients with suicidal behavior by burns were identified (incidence rate of 2.9 per 100,000). Females had a higher rate of suicidal behavior by burns than males (4.2 vs. 1.6 per 100,000, P < 0.001). The rate of suicidal behavior by burns was higher among single persons than married persons(4.3 vs. 3.5 per 100,000). The rate of suicidal behavior by burns among the rural population was slightly higher than the urban population (3.2 vs. 2.7 per 100,000). The high rate of suicidal behavior by burns among young, married women in Khorasan is a social tragedy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

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

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 head0.017
GPT teacher head0.272
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 teacher head, 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
Published2011
Admission routes1
Has abstractyes

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