A New Perspective of Translation Criticism: Descriptive Translation Studies
Bibliographic record
Abstract
Descriptive translation studies (DTS) provides a new approach to translation studies which developed in the 1970s in the western world. This approach not only broadens the horizon of translation studies, but also shifts its focus to target language and target-oriented culture. This thesis, based on a general description of DTS and its developments and characteristics, chooses the article “The translation of Hong Lou Meng into English: A descriptive Study” as its model and tries to discuss how are the ways of description revealed in this article. Key words: descriptive translation studies, objects of description, ways of description Resume: La traduction descriptive emergeant dans les annees 70 du 20e siecle ouvre une nouvelle perspective pour l’etude de la traduction. Elle elargit non seulement le domaine d’etude de la traduction, mais aussi centre la recherche sur la langue et culture cible. L’article presente d’abord sommairement la theorie de la traduction descriptive, son developpement et ses caracteristiques, et puis prend comme exemple l’essai intitule « L’itineraire inoubliable – etude descriptive sur le travail de traduction anglaise du « Reve dans le pavillon rouge » pour examiner comment le moyen descriptif se traduit dans cet essai. Mots-cles: etude de la traduction descriptive, objet de description, maniere de description 摘要：西方 20世紀 70年代發展起來的描寫翻譯為譯學研究提供了一個新的視角，它不僅拓寬了翻譯研究的範圍，而且將研究的焦點轉向以目的語及其文化為研究中心。本文在概述描寫譯學理論及其發展，特徵基礎上，選取 “難忘的歷程 ——《紅樓夢》英譯事業的描寫性研究 ”這篇論文，談談描寫方式在該論文中是如何體現出來的。 關鍵詞：描寫翻譯研究；描寫對象；描寫方式
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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 | 0.066 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.008 | 0.083 |
| Scholarly communication | 0.023 | 0.035 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".