Cultural Differences in Fear of Negative Evaluation After Social Norm Transgressions and the Impact on Mental Health
Bibliographic record
Abstract
Social norm transgressions are assumed to be at the root of numerous substantial negative outcomes for transgressors. There is a prevailing notion among lay people and scholars that transgressing social norms can negatively impact one’s mental health. The present research aimed to examine this assumption, focusing on clinically relevant outcomes such as anxiety and depression. The present research further aimed to examine a social cognitive process for these outcomes in the form of fear of negative evaluations as a result of one’s norm transgressing behavior. Specifically, it examined whether it is negative evaluations about ourselves or about those close to us that mediates the effect of social norm transgressions, and whether those may vary as a function of culture. Results of the present research, including a study with a community sample ( N = 410), suggest a positive association between social norm transgressions and psychological distress. Results also suggest that increased fear of negative evaluation mediates that association but does so differently for people from more collectivistic cultures and people from less collectivistic cultures. For people from more collectivistic cultures increased fear of negative evaluation of close others may mediate the association between social norm transgressions and psychological distress. However, for people from less collectivistic cultures that association may be mediated by increased fear of negative evaluation of oneself. Implications for research on consequences of social norm transgressions and cross-cultural differences in perceptions of such consequences are discussed as are practical implications for motivating social norm adherence and the maintenance of constructive social norms.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.001 | 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 teacher head, 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".