Awkward Betweenness and Reluctant Metamorphosis: Eileen Chang’s Self-Translation
Bibliographic record
Abstract
This article studies Eileen Chang’s (1920-1995)’s self-translation as a cultural mediation between two worlds. Different from the previous studies which either focus mainly on a single work or interpret from the perspective of Sinophone studies, this article presents a relatively inclusive view of Chang’s self-translation by contrasting her practices in the 1940s with that of the post-1950s, examining the changing Skopos that dictates how she conducted and metamorphosized her self-translations and the paradoxical relationship between her writings and her self-translations. In today’s heterotopic world where cultures converge, intersect, and interact in a multitude of ways and places, Chang’s self-translation and rewriting presents less as a study of the schizophrenically divided world but more as a study of metamorphosis, transition, and hybridity across borders.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".