Le Roman de la Rose : représentations allégoriques et transformations iconographiques du manuscrit à l’imprimé. Étude du manuscrit Douce 195 et de l’incunable Rosenwald 3961
Bibliographic record
Abstract
Cet article propose une étude des transformations iconographiques que subit Le Roman de la Rose de Guillaume de Lorris et de Jean de Meun lors de son passage du manuscrit à l’imprimé. Malgré une forte tradition picturale qui impose la récurrence de nombreuses figures, les divergences entre les documents étudiés (le manuscrit Douce 195 et l’incunable Rosenwald 396) sont nombreuses et témoignent de profonds changements dans le rapport entre l’image et le texte. Que ce soit à travers l’analyse des représentations allégoriques, celle du parcours iconographique ou celle de la composition des miniatures, cette étude se veut représentative d’un phénomène au coeur des bouleversements que connaît le livre au xve siècle.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".