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Record W2316010246 · doi:10.1037/a0038835

Development of visual preference for own- versus other-race faces in infancy.

2015· article· en· W2316010246 on OpenAlex
Shaoying Liu, Wen Xiao, Naiqi G. Xiao, Paul C. Quinn, Yueyan Zhang, Chen Hui, Liezhong Ge, Olivier Pascalis, Kang Lee

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDevelopmental Psychology · 2015
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsChild and Family Research InstituteCanada Research ChairsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsPsychologyRace (biology)PreferenceEye trackingDevelopmental psychologyVisual perceptionContrast (vision)PerceptionFace perceptionCognitive psychologyAudiologyArtificial intelligence

Abstract

fetched live from OpenAlex

Previous research has shown that 3-month-olds prefer own- over other-race faces. The current study used eye-tracking methodology to examine how this visual preference develops with age beyond 3 months and how infants differentially scan between own- and other-race faces when presented simultaneously. We showed own- versus other-race face pairs to 3-, 6-, and 9-month-old Chinese infants. In contrast with 3-month-olds' visual preference for own-race faces, 9-month-olds preferentially looked more at other-race faces. Analyses of eye-tracking data revealed that Chinese infants processed own- and other-race faces differentially. These findings shed important light on the role of visual experience in the development of visual preference and its relation to perceptual narrowing.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.543

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 head0.314
GPT teacher head0.429
Teacher spread0.115 · 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