The effects of trait social anxiety on affective and behavioral reactions to others' resource allocations
Bibliographic record
Abstract
Abstract Most studies investigating interindividual differences in the context of social decision making have focused on the decision maker. Considerably less empirical attention has been paid to interindividual differences in how recipients react both affectively and behaviorally. In two preregistered studies (total N = 667), we examined whether heightened levels of trait social anxiety are associated with higher levels of forecasted and experienced negative affective reactions in response to uneven resource allocations by an interaction partner in a dictator game and an ultimatum game as well as corresponding hypothetical and actual behavioral reactions. In accordance with our predictions, social anxiety levels correlated with negative affective reactions; these correlations were stronger the more unevenly the resources were allocated by the other individual. The observed effects remained robust when controlling for expectations and basic personality traits and across two different economic social decision‐making tasks. This suggests that social anxiety level is an important contributor to interpersonal differences in affective reactions to another individual's uneven resource allocations.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 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".