The Other-Race Effect in Caucasian and Japanese-Descendant Children in Brazil: Evidence of Developmental Plasticity
Bibliographic record
Abstract
The Other-Race Effect has been confirmed by several experimental studies, in which the individual has greater difficulty in recognizing the faces of races that are different from their own. Few studies have investigated this effect during the development of the face processing system. The aim of this study was to investigate the development of the Other-Race Effect in Caucasian and Japanese-descendants children born and living in Brazil. Seventy-four children, split into two age groups (5 - 7 and 9 - 11 years of age), were tested. Japanese-descendant children did not present the effect in favor of their own-race faces, whereas Caucasian children demonstrated the effect in both age groups. This indicates that the effect is present early in the development of face recognition and that contact with the faces of another race during childhood dissipates it. These findings suggest that experience with faces from the children’s visual context is crucial for shaping face processing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".