Who’s Afraid of Virginia’s you: a Corpus-based Study of the French Translations of The Waves
Bibliographic record
Abstract
The present paper discusses issues related to the translation of the English personal pronoun you in the French translations of Virginia Woolf’s The Waves (1931). There are two published French translations of The Waves . The first one, Les Vagues , was translated by Marguerite Yourcenar and published in 1937. Around fifty years later, another version was published, under the same title but this time translated by Cécile Wajsbrot (1993). The two versions differ significantly when the use of tu and vous is concerned. This paper is concerned specifically with the original’s mind-style (Fowler 1977) in other words, the way the characters’ perceptions and thoughts, as well as their speech, are presented through language and how this is rendered in the translations. The quantitative analysis was realised using corpus-based studies tools which proved to be an asset in helping to identify the novels’ mind-style.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".