L’histoire d’un récit inséré. Dispositio et narratio dans Pierre de Provence et la belle Maguelonne, du xve au xviiie siècle
Bibliographic record
Abstract
Succs remarquable de la littrature europenne depuis la fin du Moyen ge, Pierre de Provence et la belle Maguelonne 1 est l'origine d'une longue histoire de rcritures et d'adaptations qui ne s'est pas acheve avant le milieu du XIX e sicle 2 . Non seulement ces remaniements successifs ont-ils fourni un cas extraordinaire aux recherches sur l'volution de l'art narratif la fin du Moyen ge et sur la rception de la matire mdivale l'poque prmoderne 3 , mais ils ont aussi permis des avances dans les travaux sur l'histoire du livre 4 : des manuscrits du XV e sicle la Bibliothque universelle des romans du XVIII e sicle, en passant par les ditions supervises par les libraires-imprimeurs que sont Jean Trepperel et Michel Le Noir, surtout actifs au tournant du XVI e sicle, Pierre de Provence a connu diffrentes conditions de vie matrielle clairant les modes de circulation et de consommation des textes par le public du Moyen ge et de l'Ancien Rgime.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".