MétaCan
Menu
Back to cohort
Record W1966985748 · doi:10.1080/02699930701298515

Disgust: Sensory affect or primary emotional system?

2007· article· en· W1966985748 on OpenAlexaff
Judith A. Toronchuk, George Ellis

Bibliographic record

VenueCognition & Emotion · 2007
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsDisgustPsychologyEmotiveAffect (linguistics)Stimulus modalitySensory systemCognitive psychologyModalitiesDevelopmental psychologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

We argue in this paper for the inclusion in the primary emotional systems enumerated by Panksepp of a neural system that organises disgust responses. The DISGUST system arose phylogenetically in response to danger to the internal milieu from pathogens and their toxic products. We suggest that the primitive emotive circuit, which originally provided defence by regulating consummatory behaviours, gave rise to a primary emotional system that facilitates evaluation of reinforcers. Unlike the sensory affect of distaste from which it is experimentally dissociable, disgust responses can involve flexible learned components triggered by several modalities. The anterior insula is implicated as playing a major role in the DISGUST system both in organising disgust responses in the individual and recognising disgust responses in others.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.005
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.123
GPT teacher head0.304
Teacher spread0.181 · 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 designTheoretical or conceptual
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

Citations48
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCognition & EmotionSame topicPsychology of Moral and Emotional JudgmentFrench-language works237,207