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Record W2025573662 · doi:10.1080/14999013.2013.857741

Impulsiveness and Antisocial Behaviors in Men and Women: An Epidemiological General Population Study in the Southwest of Montreal

2013· article· en· W2025573662 on OpenAlexaffabout
Andrea Reyes, Anne G. Crocker, Kerry Weinstein, Laurence Roy, Jean Caron

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersRMIT University
KeywordsImpulsivityPsychologyAggressionPopulationClinical psychologyDevelopmental psychologyDemographySociology

Abstract

fetched live from OpenAlex

There is a dearth of literature on the interplay between impulsivity, gender and antisocial behaviors in the general population. Using data from the Montreal Epidemiological Catchment Area study, we sought to identify gender differences in impulsivity and assess whether gender moderates associations between impulsivity and antisocial behaviors. No gender differences were found in impulsivity. Among both men and women, impulsivity was correlated with criminality, aggression and substance dependence. Gender was correlated with criminality, self-aggression, and substance dependence, but did not moderate the relation between impulsivity and any of the outcomes. This study demonstrates that impulsivity is associated with antisocial behaviors equally in both men and women.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.043
GPT teacher head0.420
Teacher spread0.376 · 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

Citations5
Published2013
Admission routes2
Has abstractyes

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