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Record W2098234193 · doi:10.1521/pedi.2010.24.5.581

Suicidal and Criminal Behavior Among Female Offenders: The Role of Abuse and Psychopathology

2010· article· en· W2098234193 on OpenAlexaff
Eva R. Kimonis, Jennifer L. Skeem, John F. Edens, Kevin S. Douglas, Scott O. Lilienfeld, Norman G. Poythress

Bibliographic record

VenueJournal of Personality Disorders · 2010
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSimon Fraser University
FundersNational Institute of Mental Health
KeywordsPsychologyPsychopathologyRecidivismPoison controlClinical psychologyPsychopathyInjury preventionAnxietyAntisocial personality disorderSuicide preventionSubstance abusePsychiatryPersonalitySocial psychologyMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Childhood abuse is relatively prevalent among women and is an important risk factor for both criminal behavior and suicide-related behavior (SRB). Based on a sample of 266 female offenders, we address one theoretical and one practical issue. First, from a theoretical perspective, we assess whether internalizing (depression and anxiety) and externalizing (substance abuse and antisocial behavior) psychopathology mediate the relation between abuse on the one hand, and SRB or criminal behavior, on the other. Results indicate that externalizing problems mediate the relation between childhood abuse and both lifetime SRB (fully) and lifetime criminality (partially). Second, at a practical level, results indicate that a subscale of the Revised Psychopathy Checklist (PCL-R; Hare, 1991) that assesses lifetime criminal behavior adds incremental utility to postdicting SRB, beyond the variance accounted for by self-report measures of abuse and externalizing problems. However, none of the measures-including the PCL-R-predicted future recidivism.

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 score0.042
Threshold uncertainty score0.455

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.314
Teacher spread0.291 · 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

Citations43
Published2010
Admission routes1
Has abstractyes

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