The Evolution of Filial Piety in Ancient China and Its Influence on Neighboring Countries: Taking the Classic of Filial Piety as the Chief Source
Bibliographic record
Abstract
Filial piety is a typical feature of Chinese civilization. Represented by the book of The Classic of Filial Piety, the filial culture in China experienced different periods of establishment, development and maturity. The pre-Qin period is the germination time for the filial culture, and the book of The Classic of Filial Piety, a systematic filial thought was formed in Warring States period. The rulers of Han dynasty drew hard lessons from Qin, which was ruined by its tyranny, and decided to govern the country with filial piety. During this period, Dong Zhongshu used Confucian classics to do judgments, preliminarily realized the legalization of Confucianism such as the filial piety. The formulation of the Tanglv Shuyi marks the full legalization of Confucianism, and filial piety was completely integrated into the legal norms. From Tang dynasty, most of the emperors in Chinese history all paid attention to The Classic of Filial Piety, even involved in the compilation of its explanatory notes, advocating to perform filial rule in the country. Since the Tang dynasty, with the strengthening of Chinese and foreign cultural exchanges, The Classic of Filial Piety and filial piety culture widely spread abroad. At the same time some neighboring areas such as Japan, the Korean peninsula and Vietnam was profoundly influenced by The Classic of Filial Piety and the filial piety culture.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".