Shyness and the first 100 ms of emotional face processing
Bibliographic record
Abstract
Although shyness is presumed to be related to an increased sensitivity to detect motivationally salient social stimuli, we know little of how shyness affects the early perception of facial emotions. We demonstrate here that individual differences in normative shyness were related to brain responses to some emotional faces as early as the P1 electrocortical component, 80-130 ms after stimulus onset. High-shy individuals showed reduced P1 amplitude for fearful faces compared to neutral faces. Low-shy individuals processed happy faces faster than other emotions and showed increased P1 amplitudes for happy faces over neutral faces. Regardless of shyness level, participants showed increased amplitudes in the N170 component (130-200 ms) for all emotions over neutral conditions, particularly for the emotion of fear. This study presents the first evidence that shyness is related to early electrocortical responses to the processing of fearful faces, consistent with a fast-path amygdala sensitivity model.
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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 | 0.000 | 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) | 0.002 | 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".