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
We review the burgeoning literature on the social effects of emotions, documenting the impact of emotional expressions on observers' affect, cognition, and behavior. We find convergent evidence that emotional expressions influence observers' affective reactions, inferential processes, and behaviors across various domains, including close relationships, group decision making, customer service, negotiation, and leadership. Affective reactions and inferential processes mediate the effects of emotional expressions on observers' behaviors, and the relative potency of these mediators depends on the observers' information processing and the perceived appropriateness of the emotional expressions. The social effects of emotions are similar across expressive modalities (face, voice, body, text, symbols). We discuss the findings in relation to emotional contagion, emotional intelligence, emotion regulation, emotions as social information (EASI) theory, and the functionality of emotions in engendering social influence. Finally, we identify gaps in our current understanding of the topic and call for interdisciplinary collaboration and methodological diversification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it