The Translator’s Subjectivity and Its Constraints in News Transediting: A Perspective of Reception Aesthetics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drawing upon the theory of reception aesthetics, this paper aims to systematically explore the news translator’s subjectivity and the constraints involved in transediting hard news texts. The translator, who actively receives, selects and conveys information, plays a decisive role in striking an appropriate balance between accuracy and acceptability during the transediting process. By optimally exerting his/her subjectivity, the translator can produce appropriate target news that communicate effectively. Interest in the translator’s subjectivity has continued to grow since the cultural turn in translation studies which introduced a range of new approaches. These either focus exclusively on the translator’s subjectivity or emphasize the constraints impinging upon it, but, in either instance fail to provide a comprehensive account. In contrast, the theory of reception aesthetics, which takes both aspects into account, provides a more thorough theoretical framework. This paper first performs a theoretical analysis of the reciprocity between the translator’s subjectivity and its corresponding constraints. A case study on English-Chinese news transediting in the Taiwanese press is then conducted to further explain how to apply the theoretical analysis in order to examine and assess the translator’s constrained subjectivity in actual transediting practice.
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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 | 0.001 | 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 it