Emotional versus neutral expressions and perceptions of social dominance and submissiveness.
Bibliographic record
Abstract
Emotional expressions influence social judgments of personality traits. The goal of the present research was to show that it is of interest to assess the impact of neutral expressions in this context. In 2 studies using different methodologies, the authors found that participants perceived men who expressed neutral and angry emotions as higher in dominance when compared with men expressing sadness or shame. Study 1 showed that this is also true for men expressing happiness. In contrast, women expressing either anger or happiness were perceived as higher in dominance than were women showing a neutral expression who were rated as less dominant. However, sadness expressions by both men and women clearly decreased the extent to which they were perceived as dominant, and a trend in this direction emerged for shame expressions by men in Study 2. Thus, neutral expressions seem to be perceived as a sign of dominance in men but not in women. The present findings extend our understanding of the way different emotional expressions affect perceived dominance and the signal function of neutral expressions-which in the past have often been ignored.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".