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Record W2120323570 · doi:10.1177/0956797613514451

Optical Origins of Opposing Facial Expression Actions

2014· article· en· W2120323570 on OpenAlexaff
Daniel H. Lee, Reza Mirza, John G. Flanagan, Adam K. Anderson

Bibliographic record

VenuePsychological Science · 2014
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsUniversity of WaterlooUniversity of Toronto
Fundersnot available
KeywordsDisgustPsychologyStimulus (psychology)Facial expressionNeuroscienceCognitive psychologyCommunicationSocial psychology

Abstract

fetched live from OpenAlex

Darwin theorized that emotional expressions originated as opposing functional adaptations for the expresser, not as distinct categories of social signals. Given that two thirds of the eye's refractive power comes from the cornea, we examined whether opposing expressive behaviors that widen the eyes (e.g., fear) or narrow the eyes (e.g., disgust) may have served as an optical trade-off, enhancing either sensitivity or acuity, thereby promoting stimulus localization ("where") or stimulus discrimination ("what"), respectively. An optical model based on eye apertures of posed fear and disgust expressions supported this functional trade-off. We then tested the model using standardized optometric measures of sensitivity and acuity. We demonstrated that eye widening enhanced stimulus detection, whereas eye narrowing enhanced discrimination, each at the expense of the other. Opposing expressive actions around the eye may thus reflect origins in an optical principle, shaping visual encoding at its earliest stage-how light is cast onto the retina.

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)0.000
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.749

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.181
GPT teacher head0.428
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations63
Published2014
Admission routes1
Has abstractyes

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