The Loss of Cultural Image in Literary Translation-A Case Study of the English Version of The Peony Pavilion
Bibliographic record
Abstract
Cultural image is the unique cultural symbol formed in different ethnic groups due to different cultural traditions and geological environment. Cultural image is widely used in classic Chinese literary, which was a great difficulty in translation. The paper has a case study of The Peony Pavilion , where exists abundant cultural images, among which the use of image “willow” and “plum” were in high frequency. These images were elaborately designed by the author to forward the plots and contained profound connotative meanings. Therefore, the translation of these cultural images is of vital importance. This essay explores the phenomenon of the loss of cultural images in the English version translated by Wang Rongpei and Cyril Birch. There are 55 scenes in the Peony Pavilion , among which the image “plum” and “willow” have been mentioned in 32 scenes. The constant repetition of these two images helps depict vivid characters and promotes the development of plots. Unfortunately, in the translation, the expression of these images is more or less absent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".