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Record W717754

Early antisocial markers and attachment styles: their influence on psychopathic characteristics in high-risk boys and girls

2012· dissertation· nl· W717754 on OpenAlexfundno aff
Richelle Isaak

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typedissertation
Languagenl
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDevelopmental psychologyClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

While the relationship between attachment as a general construct (i.e., closeness to caregivers) and psychopathy has been partially explored, few studies have investigated attachment dimensions and either psychopathy as a general construct or its various facets. The current study examined attachment anxiety versus attachment avoidance within adolescent-mother relationships in relation to psychopathy in 80 high-risk adolescents (30 females). The moderating role of conduct disorder (CD) onset regarding attachment dimensions and psychopathy also was assessed because of its importance in predicting and explaining multiple negative life outcomes. Regression analyses revealed a significant interaction between childhood-onset CD and attachment avoidance in relation to the affective facet, but not to the interpersonal and behavioural facets of psychopathy. Further, exploratory analyses, as predicted, confirmed that there was a likely gender difference regarding CD in its relationship to attachment and psychopathy. These findings support the differential importance of psychopathy facets when assessing attachment.

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)0.003
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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