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Record W2099132040 · doi:10.7202/013565ar

Who’s Afraid of Virginia’s you: a Corpus-based Study of the French Translations of The Waves

2006· article· en· W2099132040 on OpenAlexvenueno aff
Charlotte Bosseaux

Bibliographic record

VenueMeta Journal des traducteurs · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)Personal pronounLinguisticsPronounHistoryLiteraturePerceptionComputer scienceArtPsychologyPhilosophy

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0060.005
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.059
GPT teacher head0.266
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2006
Admission routes1
Has abstractyes

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Same venueMeta Journal des traducteursSame topicTranslation Studies and PracticesFrench-language works237,207