Traduction dérimation compilation – La Phraséologie, Actes du Colloque international Université McGill, publiés par Giuseppe Di Stefano et Rose M. Bidler
Bibliographic record
Abstract
2Œuvre d'un grand admirateur de la matière de France, le Guerrin Meschino fut traduit en français par Jean de Rochemeure dans la seconde moitié du XV e siecle.Cette traduction, dont il est difficile de reconnaître avec précision le modèle italien, est conservée dans deux manuscrits autographes (Cambridge, Fitzwilliam Musem, mss. 25 et 26), qui nous révèlent la technique du traducteur: selon les pratiques du Moyen Age tardif, celui-ci se fait tour à tour «scriptor», traducteur au sens propre, commentateur, voire auteur à part entière.3 MAUREEN BOULTON, Jean Galopes, traducteur des «Meditationes Vitae Christi» pp.91-102.Jean Galopes traduisit en français les Meditationes, composées en Italie au début du XIV e siecle, entre 1420 et 1422 pour le roi Henry V d'Angleterre.Se conformant aux habitudes de son temps, le traducteur adapte le texte à un public et à un milieu différents de ceux du traité original: tout en se montrant globalement fidèle à la source, Traduction dérimation compilation -La Phraséologie, Actes du Colloque intern...
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".