Une expérience vécue : l’intersection des langues, du genre et de l'identité dans la traduction
Bibliographic record
Abstract
A saying goes that "to know another language is to possess a second soul."Passionate about languages, translation and world cultures, the author is always on the way to learn more and decode the meaning of this quote.In this Honors essay, the author is going to explore the topic of gender and resistance in language translation based on her first experience as a translator.Working together with Dr. Bannerjee, Coupeuses d'Azur, an epic French anthology written by Mauritian poet Khal Torabully, is well translated.Based on this particular experience, the author first examines the inherent sexist components in the French language in its rules for grammatical gender, which influences French speakers' way of thinking.Furthermore, the author explores how translation practice, and the role of female translator may help change this current.Secondly, this thesis focuses particularly on the creole language and the musicality of poems in the process of translation from the postcolonial perspective.During the translation process, the author came across many intricacies and nuances, but that's what made this journey so challenging and rewarding at the same time.To summarize the highlights of this unique learning path, she also depicts her own lived experience in translation.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".