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Record W2900826255 · doi:10.1177/1073191118811607

French Adaptation and Validation of the Expanded Version of the Three-Factor Levenson Self-Report Psychopathy Scale

2018· article· en· W2900826255 on OpenAlex
Véronique Maheux‐Caron, Dominick Gamache, Martin Sellbom, Elliott Christian, Yvan Lussier, Claudia Savard

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

VenueAssessment · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychopathyPsychologyDark triadImpulsivityConvergent validityEmpathyScale (ratio)NarcissismExploratory factor analysisPsychometricsIncremental validityDevelopmental psychologyTest validityClinical psychologySocial psychologyPersonalityInternal consistency

Abstract

fetched live from OpenAlex

= 432 participants from a community sample) is to report on the psychometric properties of a French adaptation of the Expanded Version of the Three-Factor Levenson Self-Report Psychopathy Scale (E-LSRP), which was developed to alleviate some shortcomings of the original LSRP. A three correlated factor exploratory structural equation modeling model showed the best fits and attained satisfactory indices. There were significant, conceptually meaningful associations with measures of Dark Triad traits, pathological narcissism, empathy, impulsivity, substance misuse, and social desirability. Incremental validity over a 19-item scale proposed by Brinkley et al. was also mostly demonstrated, especially for convergent validity. Overall, the French E-LSRP possesses sound psychometric properties, comparable for the most part with the original instrument, and should be seen as a useful measure of psychopathic traits in community samples.

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)0.000
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 score0.065
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.031
GPT teacher head0.329
Teacher spread0.298 · 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