Awe, the small self, and prosocial behavior.
Bibliographic record
Abstract
Awe is an emotional response to perceptually vast stimuli that transcend current frames of reference. Guided by conceptual analyses of awe as a collective emotion, across 5 studies (N = 2,078) we tested the hypothesis that awe can result in a diminishment of the individual self and its concerns, and increase prosocial behavior. In a representative national sample (Study 1), dispositional tendencies to experience awe predicted greater generosity in an economic game above and beyond other prosocial emotions (e.g., compassion). In follow-up experiments, inductions of awe (relative to various control states) increased ethical decision-making (Study 2), generosity (Study 3), and prosocial values (Study 4). Finally, a naturalistic induction of awe in which participants stood in a grove of towering trees enhanced prosocial helping behavior and decreased entitlement compared to participants in a control condition (Study 5). Mediational data demonstrate that the effects of awe on prosociality are explained, in part, by feelings of a small self. These findings indicate that awe may help situate individuals within broader social contexts and enhance collective concern.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".