Integrating physical and social cues when forming face preferences: Differences among low and high-anxiety individuals
Bibliographic record
Abstract
This study investigated individual differences in the integration of social (i.e., direction of social interest) and physical (i.e., apparent health) cues in a face preference test. While low-anxiety individuals demonstrated preferences for social engagement from healthy-looking faces, but not from unhealthy-looking faces, high-anxiety individuals preferred social engagement from both healthy and unhealthy individuals. Importantly, anxious individuals were not simply less discriminating in their face preferences generally: anxiety levels were positively related to the strength of overall preferences for positive social interest. Collectively, our findings show that perceptions of gaze and expression can be modulated by aspects of facial appearance and that systematic variation among individuals exists in the extent to which this modulation occurs. Furthermore, since previous studies have demonstrated hypersensitive amygdala responses among anxious individuals when viewing faces, our findings suggest that the amygdala may play an important role in determining how different facial cues are integrated in person perception.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".