Emotion suppression on relationship and life satisfaction: Taking culture and emotional valence into account
Bibliographic record
Abstract
Despite a general consensus on the negative consequences of emotion suppression in Western cultures, cross-cultural explorations to date have yielded many inconsistencies on whether such phenomena can be generalized to Eastern cultures. A set of two studies were conducted to examine the role of emotional valence in resolving such inconsistencies on both relationship satisfaction and subjective well-being. In accordance with our hypotheses, our results consistently revealed that the habitual suppression of emotions was associated with lower relationship satisfaction and subjective well-being, regardless of valence, for American participants. However, the effects of emotion suppression significantly varied by valence for Korean participants, such that suppressing negative emotions was less detrimental than suppressing positive emotions. Overall, the present study highlights the importance of considering the nature of different emotions and cultural contexts when examining the adaptiveness of emotion regulation strategies on individuals’ interpersonal and intrapersonal well-being.
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".