Faxian’s Biography and His Contributions to Asian Buddhist Culture: Latest Textual Analysis
Bibliographic record
Abstract
To provide more updated and accurate information on Faxian, an eminent monk of ancient China’s Jin Dynasty (266–421 CE), the present study conducts a literature survey to analyze his native region. It is found that Faxian was actually born in modern Linfen City in Shanxi Province, not Xiangyuan County as previously described. In his childhood, he became a novice monk and was compassionate toward the poor. To search out and collect Buddhist scriptures, Faxian undertook a westward pilgrimage to India from 399 to 412 CE. During this hard and dangerous pilgrimage, Faxian burst into tears three times. Finally, he succeeded in bringing a trove of Buddhist scriptures back to China from India. For the rest of his life, along with Buddhabhadra, he was engaged in translating Buddhist scriptures into Chinese. These translated scriptures were highly beneficial for Chinese Buddhism, especially the precepts (sila-vinaya) and Mahāyāna works. Faxian himself is demonstrated to have been a Mahāyāna Buddhist follower. His pilgrimage experience was recorded in his work “Record of Buddhist Kingdoms”, which provides important information about ancient Asian kingdoms. Faxian’s story promoted Asian tourism relevant to Buddhist culture. As a pioneer in the 4th century, Faxian started a new era of westbound pilgrimage to ancient India, including the similar pilgrimages of Xuanzang and Yijing in the 7th century. Even today, Faxian continues to strengthen friendship among Asian countries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".