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Record W2072957267 · doi:10.1037/a0017748

The voluntary control of facial action units in adults.

2010· article· en· W2072957267 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 · 2010
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsLaurentian UniversityUniversity of Ottawa
Fundersnot available
KeywordsSadnessPsychologyDisgustFacial Action Coding SystemSurpriseAngerVoluntary actionAction (physics)Facial expressionDevelopmental psychologyHappinessSocial psychologyCognitive psychologyCommunicationPerception

Abstract

fetched live from OpenAlex

We investigated adults' voluntary control of 20 facial action units theoretically associated with 6 basic emotions (happiness, fear, anger, surprise, sadness, and disgust). Twenty young adults were shown video excerpts of facial action units and asked to reproduce them as accurately as possible. Facial Action Coding System (FACS; Ekman & Friesen, 1978a) coding of the facial productions showed that young adults succeeded in activating 18 of the 20 target actions units, although they often coactivated other action units. Voluntary control was clearly better for some action units than for others, with a pattern of differences between action units consistent with previous work in children and adolescents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.228

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)0.0000.000

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 head0.037
GPT teacher head0.276
Teacher spread0.239 · 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