Situational differences in dialectical emotions: Boundary conditions in a cultural comparison of North Americans and East Asians
Why this work is in the frame
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Bibliographic record
Abstract
Past research generally suggests that East Asians tolerate opposing feelings or dialectical emotions more than North Americans. We tested the idea that North Americans would have fewer opposing emotions than East Asians in positive, but not in negative or mixed situations. Forty-seven European American, 40 Chinese, and 121 Japanese students reported the emotions that a protagonist of standardised positive, negative, and mixed situations would feel. Emotions were coded into three valence categories: pleasant, unpleasant, and neither-pleasant-nor-unpleasant. As predicted, cultural differences in opposing emotion associations were found in positive situations only. Moreover, East Asians reported more neither-pleasant-nor-unpleasant feelings, especially in mixed situations, possibly reflecting a deferral of valence appraisal due to expected change.
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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 | 0.000 | 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) | 0.000 | 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