Quoting the Classics: An Alternative Reinforcement of Regime Legitimacy in China
Bibliographic record
Abstract
After the opening reform of China, the revival of Chinese traditional culture has raised by the CCP. One characteristic of this revival has emerged with the continuous adaption of the Chinese classics in speeches of top leaders of the CCP . In particular, the current president Xi Jinping likes to cite Chinese traditional classics more than his two predecessors. This paper examines this tendency. At the same time, the CCP propaganda department also actively matches up Xi’s citation. They have published official interpretation books, raised Xi’s personal prestige as a Confucian gentleman possessing the good values of Chinese traditional philosophy. These values are aimed at gaining the support of the conservative climate in Chinese society and adapted to be an alternative for the reinforcement of CCP legitimacy. This paper also examines some concrete governmental policies of raising this adaption and observes that Xi and the CCP have begun to use it to connect with current social problems and their solutions in China, such as officials’ morality, social justice and equality, rule by law and nationalism. However, Xi has not matched this perfect commitment in reality.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".