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Record W2119373154 · doi:10.1177/0093854806293554

Psychopathy and the Perception of Affect and Vulnerability

2007· article· en· W2119373154 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCriminal Justice and Behavior · 2007
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMcGill UniversityQueen's UniversityBrock University
Fundersnot available
KeywordsPsychopathyPsychologyAssertivenessAffect (linguistics)PerceptionDevelopmental psychologyClinical psychologySocial psychologyPersonality

Abstract

fetched live from OpenAlex

The relationship between psychopathic traits and the perception of nonverbal communication, including facial expressions and body language, is investigated. Participants include 59 prison inmates and 60 community members. Psychopathic traits among inmates are measured using the Psychopathy Checklist—Revised (PCL-R) and Levenson's Self Report Psychopathy Scale. Participants categorize the emotion of posed facial photographs and rate intensity of emotion. They view videotaped interactions of a confederate and a target individual and rate assertiveness using the Rathus Assertiveness Scale. There is a trend for the PCL-R to be positively correlated with the inmates' accuracy of emotional intensity ratings. Psychopathic traits are also positively associated with the accuracy of assertiveness ratings.

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.

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)0.001
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 score0.803
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.370
Teacher spread0.327 · 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