Traducteur : auteur ou guide ? Letters from an Other de Lise Gauvin au-delà du stéréotype
Bibliographic record
Abstract
The article aims to present the particularities of the English translation of Lise Gauvin’s novel Lettres d’une autre by a Canadian feminist translator, Suzanne de LotbinièreHarwood. The purpose of the translation was to make the Quebec culture closer to the English speaking Canadians. Moreover, de Lotbinière-Harwood intended to emphasize feminist issues. Indubitably, such a project goes beyond the stereotypical function of translation as the translator herself is clearly visible in the text. The specificity of the de Lotbinière-Harwood’s translation encourages the reflection on the problematic border between a translation sensu stricto and a translation being at the same time some kind of explanation. The article seeks to answer to the following questions: is a literary translator “only” a transmitter of meanings invented by the author or a guide in the unknown world? Is he also a full-fledged author? In addition, the article considers how far a translator is allowed to be visible in a text, in particular, if he aims to explain culture.
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 | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.008 |
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".