On Zhang Peiji’s Prose Translation from the Perspective of the Translator’s Subjectivity
Bibliographic record
Abstract
Chinese prose characterizes being formally-loose and essence-focused with features such as many a free style and myriads of assorted contents, among which the poetic images and artistic conceptions are so distinct that they are usually regarded as criteria for measuring its excellence. Whereas, it is the same features that impose obstacles for the prose translation, for it is difficult for the translator to grasp the whole essence of the original text in the first place and then recreate it in the translation works in another language. Therefore, during the translating process, it is inevitable not to adopt the translators’ subjectivity. And the three basic characteristics of it, namely, activeness, passiveness and purposiveness, will combine to affect the whole translating activity in one way or another. Nowadays, translation theorists both at home and abroad have conducted many studies on translators’ subjectivity. Grounded on those authoritative theories, this paper will make a tentative study on Zhang Peiji’s translation of Chinese modern prose writings. Professor Zhang’s classics Selected Modern Chinese Prose Writings will be focused. In the main body of the paper, the demonstrations of those three features of subjectivity will be elaborated with abundant examples from the two volumes of his translation works. In particular, great attention will be paid to the function of the translator’s activeness in the translation, which will be analyzed via three levels: lexical, semantic and textual. Thus, readers and translators-to-be would be better able to appreciate and draw upon those excellent translated prose.
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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 | 0.002 | 0.000 |
| 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".