Bibliographic record
Abstract
Zhu Ziqing was a Chinese academic who developed a reputation first as a poet and later as an essayist in the 1920's and 1930's. His works are still read widely in China and are considered important enough to be included in the curriculum of secondary schools and universities in the People's Republic of China, Hong Kong and Taiwan. Despite his enduring reputation among his countrymen, he is little known abroad and Western scholarly works on modern Chinese literature scarcely mention him. This thesis examines Zhu Ziqing's prose, since it is his essays which are the basis of his reputation. His short stories are examined first, as the precursors to his essays, with which they have much in common. The essays are presented in categories according to their subject matter, and representative works from each category are examined in detail. It becomes clear that the most noticeable characteristic of Zhu Ziqing's writings is their autobiographical nature. He is at his best when writing about things with which he is intimately acquainted, and his attempts to grapple with wider social issues tend to be inconclusive. Zhu Ziqing is known principally as a lyric essayist, a "painter of pictures with words." The scenes which he describes are often marked by his presence, linked by the autobiographical thread which runs through all his work. Concerned as they are with painting delightful scenes rather than making any profound statements, lyric essays are not calculated to offend anyone's ideological sensibilities. This, combined with the inconclusive nature of Zhu Ziqing's attempts at weightier social pronouncements, accounts for the availability of his works on both sides of the Taiwan Strait. One may concede that Zhu Ziqing is but a minor planet in the Chinese literary firmament. Nevertheless, his short stories and essays are Interesting as examples of prose which was highly regarded by the author's contemporaries in the early days of modern Chinese vernacular literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".