A Study of the Difference in Translation under the Influence of Deconstruction: A Perspective of Feminism
Bibliographic record
Abstract
This paper studies the issue of difference in translation under the influence of deconstruction,as shown in the French-Canadian feminist texts by Nicole Brossard and their feminist translations into English.Feminist translators explicitly reject traditional views on fidelity and emphasize the individualistic and creative nature of translation.Thus,their work is seen as a challenge to mainstream translation discourse.The argument on which feminist translation rests is that through the use of innovative translation strategies a feminist translation becomes a deliberate mistranslation and extension of the source text,and that feminist translation,unlike conventional translation,constitutes difference and not derivation.This argument is questionable.We need to examine how feminist translation differs from conventional translation.In the texts analyzed the feminist translation discourse is not embodied in actual translation practice and that the unusual translation techniques used constitute a minor feature of the translations.
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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 | 0.000 | 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".