Autorka i tłumaczka: dwie pełnoprawne postacie? O przekładzie feministycznym w Kanadzie na przykładzie <i>Lettres d’une autre</i> Lise Gauvin i „przekładu w rodzaju żeńskim” Susanne de Lotbinière-Harwood
Bibliographic record
Abstract
Author and Translator: Two Full-Fledged Characters? On the Feminist Translation in Canada Based on the Example of Lettres d’une autre by Lise Gauvin and “Feminine Translation” by Susanne de Lotbinière-HarwoodAmong many translation activities characteristic for Canada, a “feminine translation”, meaning an act of re-creation, is particularly worth mentioning. One of its representatives is Susanne de Lotbinière-Harwood, a translator of the texts of Quebec feminists, including Lise Gauvin’s Lettres d’une autre (1984) translated into English in 1989 (Letters from an Other). De Lotbinière-Harwood’s translation caused controversy, as — according to the critics — she explained to much to a reader, inserted too many footnotes and feminized the text more than the original. The translation activity of de Lotbnière-Harwood proves how, by using the creative approach to translation, the act of translation itself becomes visible, and the feminization of the target text creates a space for female expression also in a real world.KEY WORDS: feminist translation, Canada, Quebec, re-creation, Lise Gauvin
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".