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Record W2766202933 · doi:10.5964/ijpr.v11i1.247

Capacity for empathy and emotional contagion in those with psychopathic personalities

2017· article· en· W2766202933 on OpenAlexfundno aff
Cherie Luckhurst, Elaine Hatfield, Claire Gelvin-Smith

Bibliographic record

VenueInterpersona An International Journal on Personal Relationships · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
FundersNational Institute for Materials ScienceUniversity of British ColumbiaJohn D. and Catherine T. MacArthur Foundation
KeywordsEmpathyEmotional contagionPsychologyPersonality psychologyPsychopathyPersonalityBig Five personality traitsSocial psychologyPopulationDevelopmental psychology

Abstract

fetched live from OpenAlex

People with psychopathic traits are sometimes adept at recognizing the emotions of others and using this knowledge in anti-social ways. However, data from incarcerated psychopaths suggest that they are incapable of true empathy. In this paper, we describe three studies that link psychopathic personality to emotional contagion and empathy, and we offer suggestions for reconciling the seemingly conflicting data. While most studies of psychopathic personality assess incarcerated respondents, the resulting data may not be generalizable to non-criminals; participants in these studies were recruited from the general population. The research confirms that empathy and emotional contagion are positively correlated and that each is negatively correlated with psychopathy, as expected. Unique to these studies is the finding that, when instructed, those with psychopathic traits can easily “catch” the emotions of others via the steps of the emotional contagion pathway, thus implying their capacity for empathy. However, without instruction, those with psychopathic traits did not automatically catch others’ emotions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.142
GPT teacher head0.388
Teacher spread0.246 · 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.

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

Citations7
Published2017
Admission routes1
Has abstractyes

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