It's not all in the face: reduced face visibility does not modulate social segmentation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Humans rely on social information to parse environmental content into social and nonsocial events. Here, we assessed if information conveyed by faces was necessary for this process. We asked participants to view a video clip depicting a social interaction and mark social and nonsocial events while actors’ faces were either visible or blurred. Keypress and eye-movement data were collected. Participants consistently identified social and nonsocial event boundaries independently of face availability, with greater agreement and less variability in keypresses for social relative to nonsocial events. Eye-tracking revealed that participants attended more to actors’ faces when they were visible and more to bodies when faces were blurred. Thus, face information is not necessary for social segmentation, which appears to be a flexible process that depends on a range of information conveyed by both faces and bodies.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it