Emotional expressivity in men and women: Stereotypes and self-perceptions
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
Three studies were conducted to assess prevalent stereotypes regarding men's and women's emotional expressivity as well as self-perceptions of their emotional behaviour. Emotion profiles were employed to assess both modal emotional reactions and secondary emotional reactions to hypothetical events and personal experiences. In Study 1 we asked how men and women in general would react to a series of hypothetical emotional events. In Study 2 we asked how participants themselves expected to react to these same situations and in Study 3 we asked participants to report a personal emotional event in narrative form. Two gender differences emerged across all three studies. Specifically, women were expected to be more likely to react with sadness to negative emotion-eliciting events in general. They also expected themselves to be more likely to react with sadness as well as to cry and to withdraw more when experiencing negative emotional events. Finally, women report more sadness when describing personal events. In contrast, men were expected to react with more happiness/serenity during negative emotional situations. Also, they expect themselves to react more frequently this way as well as to laugh and smile more and to be more relaxed in negative situations. Finally, men tend to report more happiness when describing negative personal events. In sum, the present study gives a more detailed portrayal of how men and women are expected and expect themselves to react to specific emotional situations and presents some evidence that these expectations may influence the way they reconstruct emotional events from their past.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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