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Record W2150147935 · doi:10.1002/pmh.159

Correlates of psychopathic personality traits in community couples

2011· article· en· W2150147935 on OpenAlexaff
Claudia Savard, Stéphane Sabourin, Yves A. Lussier

Bibliographic record

VenuePersonality and Mental Health · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité Laval
Fundersnot available
KeywordsPsychopathyPsychologyNeuroticismAggressionBig Five personality traitsClinical psychologyPersonalityDistressPsychological distressDevelopmental psychologySocial psychologyMental healthPsychiatry

Abstract

fetched live from OpenAlex

ABSTRACT Drawing on a representative sample of 140 young couples, the study aimed to assess the distribution and correlates of psychopathic personality traits in a community sample. A related objective was to determine whether psychopathic traits contribute to men‐reported and women‐reported couple satisfaction, psychological aggression, neuroticism and psychological distress. Both partners completed self‐report measures of psychopathic traits, couple satisfaction, psychological aggression, neuroticism and psychological distress. Results for both men and women showed moderate or elevated psychopathic personality traits in a significant proportion of the sample. Actor–partner interdependence analyses (APIM) showed that global psychopathy significantly predicted couple satisfaction through an elevation of personal distress. APIM analyses for primary psychopathy showed the same pattern of results but only in men. Finally, there was a direct negative path from secondary psychopathy to couple satisfaction, but this association was partially mediated by personal distress and psychological aggression. Copyright © 2011 John Wiley & Sons, Ltd.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.091
GPT teacher head0.358
Teacher spread0.268 · 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.

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

Citations25
Published2011
Admission routes1
Has abstractyes

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