MétaCan
Menu
Back to cohort
Record W2028340164 · doi:10.1027/1614-0001/a000036

It’s About Time

2011· article· en· W2028340164 on OpenAlex
Meredith Young, Paul M. Brunet

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

VenueJournal of Individual Differences · 2011
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyCategorizationShynessFacial expressionStimulus (psychology)Developmental psychologyCognitive psychologyEmotional expressionSocial psychologyCommunicationAnxietyLinguistics

Abstract

fetched live from OpenAlex

Accurate identification of emotional expressions is important to social interaction. We examined the relations among shyness, sociability, and the accuracy of categorization of facial expression of emotions in a sample of 127 undergraduates. Individual differences in sociability, but not shyness, were significantly related to categorization accuracy under conditions of limited presentation time, but not under circumstances of unlimited stimulus presentation time. Adults self-rated as low to moderate in sociability were significantly less accurate in categorizing facial expressions of emotion, albeit only under conditions of rapid stimulus presentation. These results suggest that individual differences in sociability and social exposure may influence the ability to categorize facial expressions of emotions.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.994

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)0.0070.001

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 head0.165
GPT teacher head0.297
Teacher spread0.132 · 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