Values and Hostile Intent Attribution to Out-Groups within China-Apan Relations: The Mediating Role of Perceived Threats
Bibliographic record
Abstract
This study examines a specific effect of hostile intent attribution within intergroup relationships. Based on our application of integrated threat theory, we hypothesised that different types of symbolic and realistic threats had a mediating effect on relations between basic human values (traditionalism and universalism) and hostile intent attribution. We conducted a survey among two university population samples of Chinese and Japanese respondents. The results for our first sample of Chinese undergraduate students (N = 201) revealed that both traditionalism and universalism predicted hostile intent attribution and that these relations were fully mediated by symbolic threats, but not by realistic threats. However, the results for the second sample of Japanese undergraduate students (N = 256) differed, indicating that traditionalism, but not universalism, predicted hostile intent attribution, and that this relation was fully mediated by both symbolic and realistic threats. In conclusion, we discuss the theoretical and practical implications of these findings.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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".