Bibliographic record
Abstract
De nombreuses dames de la cour d'Anjou ont exercé un mécénat littéraire et bibliophilique important à la cour d'Anjou. Parmi elles se trouvent Marie de Blois (v. 1340-1404), Yolande d'Aragon (1381-1442), Isabelle de Lorraine (v. 1400-1453), Jeanne de Laval (1433-1498) et Marie de Clèves (1426-1487). Le mécénat de ces femmes, parentes, épouses ou amies de René d'Anjou, est ici abordé à travers les documents d'archives et les manuscrits conservés qui attestent d'un intérêtréel et constant pour l'art du livre et de l'enluminure et pour la littérature en vogue à la cour. Une attention toute particulière est réservée au Pèlerinage de Vie humaine de Guillaume de Digulleville dont la version rimée, et plus tard la version en prose commandée par Jeanne de Laval, n'a cessé de captiver le lectorat féminin et notamment Marguerite d'Anjou, Blanche d'Anjou et Guyonne de Beauvau
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".