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Record W2084155950 · doi:10.1037/tra0000040

Predictors of suicidal ideation in treatment-seeking survivors of torture.

2015· article· en· W2084155950 on OpenAlex
Emilie Lerner, George A. Bonanno, Eva Keatley, Amy Joscelyne, Allen S. Keller

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychological Trauma Theory Research Practice and Policy · 2015
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTortureSuicidal ideationClinical psychologyPsychiatryLogistic regressionSuicide preventionPoison controlPsychologyRefugeeInjury preventionMedicineMedical emergency

Abstract

fetched live from OpenAlex

In this study, we examined sociodemographic, persecutor identity, torture, and postmigration variables associated with suicidal ideation in a clinical sample of 267 immigrant survivors of torture who have resettled in New York City. The purpose of this study was to identify variables associated with increased risk for suicidal ideation in survivors of torture before they receive legal, psychological, or medical services for torture-related needs. Results from a binary logistic regression model identified a combination of 3 variables associated with current suicidal ideation at intake into the program. Being female, having not submitted an application for asylum, and a history of rape or sexual assault were significantly associated with suicidal ideation at intake, when also controlling for several other important variables. The final model explained 21.4% of variation in reported suicidal ideation at intake. The discussion will focus on the importance of conducting a thorough assessment of suicidal ideation in refugees and survivors of torture.

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.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.239
GPT teacher head0.525
Teacher spread0.286 · 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