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Record W7154588451 · doi:10.48448/ttwz-vw02

Enhanced Prototype Formation for Other-Race Faces in Infancy: Developmental Trajectories and Environmental Adaptations

2025· other· W7154588451 on OpenAlexaffabout
Cognitive Science Society 2025, Carie Guan, Paul C. Quinn, 蕭乃齊, Linlin Yan

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFace (sociological concept)Context (archaeology)CognitionTrajectoryPerceptionCognitive developmentSocial cognitionFace perception

Abstract

fetched live from OpenAlex

Face prototype formation plays a pivotal role in translating face experience into robust internal representations. However, the early developmental trajectory and experiential influences on this cognitive capacity remain underexplored. Across five within-subject experiments conducted in Canada and China across different time periods, we investigated how face race and environmental context modulate infant prototype formation. Using a novel prototype formation paradigm, we discovered infants consistently exhibited stronger prototype formation for unfamiliar other-race faces compared to own-race faces, and this bias increased significantly with age. Furthermore, we demonstrated remarkable plasticity. Infant cohorts tested during and after COVID-19 lockdowns show opposite age-related trajectories in face prototyping, reflecting differential environmental exposure to diverse faces. These findings illuminate the experience-dependent nature of early face processing specialization, suggesting infants’ prototype formation dynamically adapts to optimize face processing within specific environments. We discuss implications for understanding the developmental origins of face processing biases and potential social consequences.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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