Proust, traducteur de Ruskin. De la traduction de Ruskin à la création d’À la recherche du temps perdu
Bibliographic record
Abstract
La rédaction de Contre Sainte-Beuve et d’À la recherche du temps perdu de Marcel Proust a été précédée par la traduction de The Bible of Amiens (1884) et de Sesame and Lilies (1865) de John Ruskin. L’examen de ces deux traductions montre que le traducteur s’en est inspiré pour échafauder le socle esthétique de son oeuvre à venir. En effet, la traduction des essais ruskiniens fait partie intégrante du processus d’apprentissage et de maturation qui devance et prépare la rédaction définitive de À la recherche du temps perdu. Cette traduction a consisté en une activité de transfert des contenus esthétiques de l’oeuvre de l’esthète anglais à la sienne propre. Nous essaierons dans cet article de montrer que le cadre esthétique d’À la recherche du temps perdu provient directement, avec quelques modifications que nécessite toute transformation créatrice, de sa confrontation avec les livres de Ruskin.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".