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Record W2018945284 · doi:10.4236/psych.2013.49a1002

Personality Disorders, Types of Violence, and Stress Responses in Female Who Perpetrate Intimate Partner Violence

2013· article· en· W2018945284 on OpenAlex
Alicia Spidel, Caroline Greaves, Tonia L. Nicholls, Julie Goldenson, Donald G. Dutton

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

VenuePsychology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsAdlerBC Mental Health & Substance Use ServicesUniversity of British ColumbiaUniversité de Montréal
Fundersnot available
KeywordsAngerPsychologyPersonalityDomestic violencePersonality disordersClinical psychologyBorderline personality disorderInjury preventionPoison controlDevelopmental psychologySocial psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Few studies have examined characteristics and correlates of females who display assaultive behaviours towards their intimate partners. Personality disorders, anger responses, type of violence perpetrated, and post-traumatic stress reactions in female perpetrated intimate violence are important factors in diagnosis, management, and treatment considerations. The present study examined the incidence of cluster B personality disorder traits in a non-clinical sample of self-identified females who perpetrate intimate partner violence (IPV). Results suggest differences in anger responses, nature and severity of violence perpetrated, and post-traumatic stress reactions across personality disorder categories. The numerous important applied implications and future research directions are discussed.

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)0.001
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 score0.055
Threshold uncertainty score0.870

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.367
Teacher spread0.338 · 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