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Record W2808465149 · doi:10.1089/vio.2018.0012

Social, Sexual, and Violent Predation: Are Psychopathic Traits Evolutionarily Adaptive?

2018· article· en· W2808465149 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

VenueViolence and Gender · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicStalking, Cyberstalking, and Harassment
Canadian institutionsBrock University
Fundersnot available
KeywordsPsychopathyPsychologyPsychopathologyDevelopmental psychologyPerspective (graphical)NormativePersonalityClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

The construct of psychopathy is typically viewed as a psychopathology, and more specifically, a severe personality disorder with manifest psychobiological deficiencies. There is an alternative perspective that certain aspects of psychopathy are evolutionarily adaptive, and confer an advantage at both the individual and group level. In this article, we explore the research on psychopathy as it relates to social, sexual, and violent predation to demonstrate that psychopathy provides an adaptive psychobiological template for success. Utilizing Meloy's (1988, 2006) ten normative criteria for predatory violence, it appears psychopathy research findings over the past 30 years facilitate four domains of predatory behavior in humans: calmness, rationality, attention, and fantasy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.071
GPT teacher head0.346
Teacher spread0.275 · 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