Is the loss of diagnosticity of the eye region of the face a common aspect of acquired prosopagnosia?
Why this work is in the frame
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Bibliographic record
Abstract
A recent study published in this journal has shown an abnormal performance at discriminating differences with respect to the eyes of unfamiliar faces in two acquired prosopagnosic patients, but preserved processing of the mouth region. Here we extend these findings by showing a similar lack of sensitivity to the eyes in the very same face matching experiment for the prosopagnosic patient PS, who also showed normal performance for detecting differences in the mouth region. These results complement previously published evidence that the patient PS presents a lack of sensitivity to diagnostic information located on the eyes of familiar faces during individual face recognition tasks. More generally, they indicate that the impaired processing of the eyes of faces is a fundamental aspect of acquired prosopagnosia that can arise following damage to different brain localizations.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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