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Record W3115219741 · doi:10.1177/0093854820983853

The Heterogeneity of Suicide Attempters: An Analysis of Single- and Repeat-Suicide Attempters Among People in Custody

2020· article· en· W3115219741 on OpenAlexaff
Bryce E. Stoliker

Bibliographic record

VenueCriminal Justice and Behavior · 2020
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSuicide attemptSuicide preventionPoison controlPsychiatryPsychologyClinical psychologyInjury preventionSuicide methodsMedicineMedical emergencySuicide rates

Abstract

fetched live from OpenAlex

Suicide attempters represent a heterogeneous group, whereby repeat-suicide attempters possess a differing risk profile compared with single-suicide attempters. Using cross-sectional data from a nationally representative sample of 18,185 people in custody in the United States, the current study compared repeat-suicide attempters ( n = 1,549) to single-suicide attempters ( n = 1,146), and compared single- and repeat-suicide attempters to suicide ideators ( n = 1,741), on a range of correlates. Multiple suicide attempts were more commonly reported than a single attempt, especially among women. Several factors differentiated repeat-suicide attempters from single-suicide attempters, with men and women exhibiting some similarities and differences in correlates of repeat- versus single-suicide attempts. Several factors also differentiated single- and repeat-suicide attempters from suicide ideators. Overall, repeat-suicide attempters exhibited greater vulnerability to respond to stress through means of suicide as compared with single-suicide attempters. Discussion emphasizes the importance of acknowledging the heterogeneity of suicide attempters.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.091
GPT teacher head0.355
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; 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

Citations13
Published2020
Admission routes1
Has abstractyes

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