Anti-Japanese Sentiment among Chinese University Students: The Influence of Contemporary Nationalist Propaganda
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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