Translation and Spreading of Folk Culture: The Case of The Last Quarter of the Moon
Bibliographic record
Abstract
With the deepening of globalization, mutual cultural communication has become a trend. China's comprehensive national strength is constantly increasing and its influence is also expanding. In the process of cultural communication, Chinese folk culture works are gradually favored by western readers and become one of the channels for the west to understand China. The Right Bank of Argun (2005) is the work of Chi zijian, a Chinese female writer who has won many awards. It was translated by American Sinologist Bruce Humes into English, renamed The Last Quarter of the Moon, and finally published in The United Kingdom in 2013. The spread of The Last Quarter of the Moon around the world is conducive to the spread of Chinese culture and plays a positive role. This thesis takes Susan Bassnett’s cultural translation theory as the theoretical basis, combines the analysis of related translation strategies, and analyzes the relevant corpora through examples, intensive research on the translation of folk culture in The Last Quarter of the Moon.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".