Giulio Aleni’s Adaption and Interpretation of Chinese Confucian Culture
Bibliographic record
Abstract
Giulio Aleni with the mission from Society of Jesus came to China for Catholic missionary work in 1610 and died in Yanping Fujian Province in 1649, altogether living in China for thirty-nine years. Giulio Aleni, who was the most popular Catholic missionary by the literati of China and was called him ‘Confucius from the West’, was proficient in Chinese language, learned a lot, and wrote many books and had a reputation in China for his quick wit. Giulio Aleni followed the view provided by Matteo Ricci to divide Chinese Confucianism into Pre-Confucianism and Neo-Confucianism; then believed that Catholic righteousness and Pre-Confucianism had some similarities or commonalities in the fields of faith and worship, ethics and etiquette of the highest god; also thought that the taiji, li and qi of Neo-Confucianism are not the original or creator of all things in the world, but something of material and Meta nature; and used western philosophy theory to interpret the inner taiji of Neo-Confucianism in Song and Ming Dynasty as an external material. Through analyzing the similarities and differences between Catholicism and Confucianism, he presupposes a dependency relationship between the God concept of Western Christianity and Chinese Confucian concepts, in order to consciously reduce the status of the metaphysical system of Confucianism, and put it under the theory of Western Christian creationism.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".