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Record W2800651388 · doi:10.1177/1754073917749880

Bodily Communication of Emotion: Evidence for Extrafacial Behavioral Expressions and Available Coding Systems

2018· article· en· W2800651388 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

VenueEmotion Review · 2018
Typearticle
Languageen
FieldPsychology
TopicEmotion and Mood Recognition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDisgustPsychologyEmbarrassmentSadnessAngerShamePrideCognitive psychologyEmotion classificationSocial psychologyFacial expressionExtant taxonEmotiveCommunication

Abstract

fetched live from OpenAlex

Although scientists dating back to Darwin have noted the importance of the body in communicating emotion, current research on emotion communication tends to emphasize the face. In this article we review the evidence for bodily expressions of emotions—that is, the handful of emotions that are displayed and recognized from certain bodily behaviors (i.e., pride, joy, sadness, shame, embarrassment, anger, fear, and disgust). We also review the previously developed coding systems available for identifying emotions from bodily behaviors. Although no extant coding system provides an exhaustive list of bodily behaviors known to communicate a panoply of emotions, our review provides the foundation for developing such a system.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.288
GPT teacher head0.452
Teacher spread0.164 · 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