LA TRADUCTION DE LA POÉSIE : L’EXEMPLE DU POÈME L’INVITATION AU VOYAGE DE BAUDELAIRE TRADUIT EN SERBE
Bibliographic record
Abstract
Dans cet article, par le biais de l’approche contrastive, nous nous penchons sur le poème L’invitation au voyage du poète français Charles Baudelaire, extrait du recueil Les Fleurs du Mal (Librio, 1979). La version serbe se trouvant dans le recueil de poésie et de prose Cveće zla / Pariski splin est faite par Nikola Bertolino (Zavod za udžbenike i nastavna sredstva, 1999). En utilisant les techniques de traduction établies par les théoriciens canadiens Jean-Paul Vinay et Jean Darbelnet dans l’ouvrage Stylistique comparée du français et de l’anglais publié en 1977, au sein de la théorie linguistique de la traduction, nous observons l’original sous la lumière morphologique, syntaxique et stylistique dans le but d’examiner si le traducteur réussit à transférer la forme et l’esprit du poème original dans la langue cible.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".