Bibliographic record
Abstract
Gender translation in Korea is known to be relatively passive or conservative compared to that in western countries, especiallyCanada. The claim about gender translation in Korea, however, has not yet been substantiated with specific grounds; therefore, this paper first introduces previous cases of feminist translation and strategies employed in feminist translations mostly in Canada and compares them with the detailed expressions and strategies applied in the case of gender translation in Korea. The texts selected for the analysis and comparison are the translations of The Awakening by Kate Chopin, an American feminist writer. A translation carried out under the intention of emphasizing a woman character's challenging spirit or resistance and the other translation that intended to be faithful to the source text are compared thoroughly to shed light on the specific strategies and adjustments in the gender translation. The analysis results substantiate the previous claim that the gender translation in Korea is relatively passive or conservative, which is mostly author-centered rather than translator-centered. Finally this paper seeks to unravel the reasons behind the rather passive and author-centered translation, which are associated with the insufficient pool of readers who are willing to accept radical or aggressive feminist translations and the status of translators in translation for publishing.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".