Adult-Like Competence in Perceptual Encoding of Facial Configuration by the Right Hemisphere Emerges after 10 Years of Age
Bibliographic record
Abstract
In the present study, we examined ascription of bizarreness to faces in a ratings task by children aged 8-10 and 11-13 years, and by adults. Configural information was manipulated subtly (a single eye was inverted) or in a more salient manner (eye and mouth were inverted). By utilizing brief presentations we restricted initial processing of the manipulations to one hemisphere. Right-hemispheric sensitivity to the manipulations was seen in higher ratings for (viewer-centered) left-sided manipulations than for right-sided manipulations. The youngest group showed significantly less right-hemisphere sensitivity to the manipulations in upright faces than the adults, but children aged 11-13 years were similar to adults. The three age groups were equivalently able to detect the stronger eye and mouth manipulation. In all, children's performance approached that of adults gradually in this task, which emphasizes immediate perceptual encoding of faces and for which memorial demands are minimal.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".