Online Cultural Conservatism and Han Ethnicism in China
Bibliographic record
Abstract
This research note analyzes the intellectual and ideological contents of cultural conservative discourses on the internet in the past several years in China. Our findings show that online cultural conservatives valorize Han ethnic culture and Chinese cultural tradition at the same time through conflating the two. They also demonstrate that online cultural conservatives reinterpret historical China in order to represent it in a totally positive light and that they vehemently attack the negative images of historical China found in intellectual, official, and popular cultural discourses. They claim that the real culprit that had prevented historical China from progressing into modernity was a non-Han ethnic group (the Manchus). Our analysis on political thoughts of online cultural conservatives shows that they partially agree with Chinese neo-leftists and liberals on critical assessment of contemporary Chinese reality but they diverge greatly from the two schools on the choice of solution for the problems. Online cultural conservatives’ proposal is to reinvigorate traditional Chinese culture and their political vision combines international relations realism, cultural determinism, and Han ethnicism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".