CULTURE MODERATES THE SELF-SERVING BIAS: ETIC AND EMIC FEATURES OF CAUSAL ATTRIBUTIONS IN INDIA AND IN CANADA
Bibliographic record
Abstract
This study tested the hypothesis that individuals from a collectivist culture explain life events using more contextual causes than do those from an individualistic culture. Undergraduates' causal attributions about positive and negative life events were assessed in India ( n = 195) and Canada ( n = 162) using a revised Attributional Style Questionnaire. Analyses revealed the India participants generated more contextual causes for events, but also had a stronger self-serving bias than did the Canada participants. Further, each cultural group viewed achievement events as more controllable than interpersonal events, but the Canada sample differentiated between achievement and interpersonal events more strongly than did the India sample. The findings demonstrate that causal explanations for life events in the two cultures possess both etic (i.e., universal) and emic (i.e., culture-specific) features.
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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".