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Record W4390144048 · doi:10.1177/00938548231219810

Adolescent Psychopathic Traits, Early Adversity, and Intimate Partner Violence

2023· article· en· W4390144048 on OpenAlexaff
Kristopher J. Brazil, Adelle E. Forth

Bibliographic record

VenueCriminal Justice and Behavior · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsCarleton University
Fundersnot available
KeywordsPsychologyDomestic violencePoison controlInjury preventionHuman factors and ergonomicsSuicide preventionClinical psychologyDevelopmental psychologyPsychopathyOccupational safety and healthPhysical abuseSocial psychologyPersonalityMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Research shows psychopathic traits in adults are associated with perpetrating intimate partner violence (IPV). Less research, however, has examined this association in adolescents’ relationships. Our study examines whether adolescent psychopathic traits are associated with different forms of IPV and whether early adverse experiences of abuse and/or interparental violence might be implicated in this relationship. A mixed sample of 156 justice-involved and at-risk adolescents were assessed with the PCL:YV, participated in an early adversity interview assessing abuse and interparental violence, and completed IPV measures of physical and psychological aggressive acts. Psychopathic traits were associated with each IPV measure over and above early adversity. Psychopathic traits continued to be associated with psychological but not physical IPV after accounting for sample type. Furthermore, psychopathic traits indirectly linked interparental violence with psychological IPV, suggesting that psychopathic traits may play a role in the intergenerational perpetration of partner violence.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score0.615

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 studies0.0010.000
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 head0.060
GPT teacher head0.359
Teacher spread0.300 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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