MétaCan
Menu
Back to cohort
Record W3089335790 · doi:10.1111/mila.12317

Are psychopaths moral‐psychologically impaired? Reassessing emotion‐theoretical explanations

2020· article· en· W3089335790 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

VenueMind & Language · 2020
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsSGS (Canada)University of Toronto
Fundersnot available
KeywordsPsychopathyPsychologySocial psychologyMoral behaviorCognitive psychologyAntisocial personality disorderMoral disengagementPersonalityPoison controlInjury prevention

Abstract

fetched live from OpenAlex

Psychopathy has been theorized as a disorder of emotion, which impairs moral judgments. However, these theories are increasingly being abandoned as empirical studies show that psychopaths seem to make proper moral judgments. In this contribution, these findings are reassessed, and it is argued that prevalent emotion‐theories of psychopathy appear to operate with the unjustified assumption that psychopaths have no emotions , which leads to the hypothesis that psychopaths are completely unable to make moral judgments. An alternative and novel explanation is proposed, theorizing psychopathy as a degree‐specific emotional deficiency, which causes degree‐specific differences in moral judgments.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.133
GPT teacher head0.323
Teacher spread0.190 · 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