Relative Influences of Lightness and Facial Morphology on Perceived Race
Why this work is in the frame
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Bibliographic record
Abstract
In a recent study (Brooks and Gwinn, 2010 Perception 39 1142-1145), the lightness contrast illusion was employed to study the influences of skin tone and facial morphology on race perception. The findings were rather counterintuitive: they suggested that skin tone does not play a major role in racial categorisation. To investigate this further, we used a parametric paradigm including five lightness levels, five morphing levels, and two face orientations. In accordance with Brooks and Gwinn, we found that race categorisation of African-American and Caucasian faces by Caucasian participants relied mainly on morphological cues. However, the relative influence of lightness increased when morphological information was ambiguous and when the faces were upside down. Overall, the results point to a flexible multicue-based mechanism underlying race perception.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it