Cooperation in Face and Dignity Cultures: Role of Moral Identity and Gender
Bibliographic record
Abstract
We examined the effects gender and moral identity on collaborative behavior among Face (Chinese) and Dignity (Canadian) cultures. 105 participants engaged in a dyadic intracultural interaction via the FireSim computer game. Each participant was assigned a village and was tasked to protect the village from seasonal fires. Participants had the option of requesting or providing help to the neighboring village, i.e. their counterpart. We examined collaborative behavior by measuring help given, while controlling for help request. Using theories of face and dignity cultures, moral identity, and gender roles, we predicted and found that overall, Chinese individuals were less helpful than Canadians. This effect was stronger for males than females. Interestingly, more helping behavior was observed among Canadians with high levels of internal moral identity. Yet, this effect was not observed among Chinese individuals. Theoretical and practical implications for collaboration across culture are discussed.
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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 | 0.000 | 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 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".