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Record W1993764675 · doi:10.1080/15374410802148111

Dimensions of Psychopathy and their Relationships to Cognitive Functioning in Children

2008· article· en· W1993764675 on OpenAlexaff
Nathalie M. G. Fontaine, Edward D. Barker, Randall T. Salekin, Essi Viding

Bibliographic record

VenueJournal of Clinical Child & Adolescent Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité Laval
FundersNational Institute for Health and Care Research
KeywordsPsychologyPsychopathyImpulsivityCognitionDevelopmental psychologyNarcissismPopulationClinical psychologyPersonalityPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Individuals with psychopathic traits are hypothesized to be free of intellectual deficits and possibly even to exhibit good cognitive abilities. Previous studies, based on clinical and incarcerated youth, have shown inconsistent findings. We investigated the relationships between different dimensions of psychopathy (callous/unemotional traits, narcissism, impulsivity) and cognitive abilities in a large population-based sample of children (age 9, N = 4,713). Findings indicated a positive relationship between narcissism and both verbal and nonverbal abilities, even after accounting for conduct problems and hyperactivity. Callous/unemotional traits and impulsivity were negatively related to both types of cognitive abilities but did not remain significant after accounting for conduct problems and hyperactivity. Interactions between gender and the dimensions of psychopathy were not significant.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.101
GPT teacher head0.399
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations46
Published2008
Admission routes1
Has abstractyes

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