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Record W2795960415 · doi:10.1177/0093854818761992

A Developmental Perspective on the Stability and Change of Psychopathic Personality Traits Across the Adolescence–Adulthood Transition

2018· article· en· W2795960415 on OpenAlexaff
Evan McCuish, Patrick Lussier

Bibliographic record

VenueCriminal Justice and Behavior · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversité LavalSimon Fraser University
Fundersnot available
KeywordsPsychopathyPsychologyPoison controlAntisocial personality disorderPersonalityPopulationClinical psychologyInjury preventionHuman factors and ergonomicsTest (biology)Big Five personality traitsDark triadDevelopmental psychologyDemographyMedicineSocial psychologyMedical emergency

Abstract

fetched live from OpenAlex

The stability of psychopathic personality disturbance (PPD) has important theoretical implications for developmental criminology and population heterogeneity perspective assertions that psychopathy is a key measure of criminal propensity. Data from the Pathways to Desistance Study ( n = 1,354) were used to examine short-, moderate-, and long-term reliable change in symptoms of PPD measured via the Youth Psychopathic Traits Inventory (YPI). Youth scoring highest on the YPI at the baseline assessment were most likely to experience reliable decreases in test scores. Binomial regression analyses showed that a reliable decrease in YPI test score was associated with decreased odds of endorsing additional offenses. Findings contrasted the adolescent “fledgling” psychopathy perspective and indicated that individuals scoring high on the YPI are the group most likely to experience reliable decreases in test scores, especially over a longer follow-up period.

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)0.002
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.114
GPT teacher head0.376
Teacher spread0.262 · 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

Citations43
Published2018
Admission routes1
Has abstractyes

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