Anti-Japanese Sentiment among Chinese University Students: The Influence of Contemporary Nationalist Propaganda
Bibliographic record
Abstract
This study looks at the sources of anti-Japanese sentiment in today's China. Using original survey data collected in June 2014 from 1,458 students at three elite universities in Beijing, we quantitatively investigate which factors are associated with stronger anti-Japanese sentiment among elite university students. In particular, we examine the link between the Chinese Communist Party (CCP)'s nationalist propaganda (especially patriotic education) and university students’ anti-Japanese sentiment. We find that nationalist propaganda does indeed have a significant effect on negative sentiment towards Japan. Reliance on state-sanctioned textbooks for information about Japan, visiting museums and memorials or watching television programmes and movies relating to the War of Resistance against Japan are all associated with higher levels of anti-Japanese sentiment. The findings suggest the effectiveness of nationalist propaganda in promoting anti-Japanese sentiment. We also find that alternative sources of information, especially personal contact with Japan, can mitigate anti-Japanese sentiment. Thus, visiting Japan and knowing Japanese people in person can potentially offset some of the influences of nationalist propaganda.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".