Autour du manuscrit nouvellement attribué au scriptorium de Cîteaux, Paris, Bibl. nat. de France, lat. 2495B, un copiste et un collectionneur, Claude-Barthélemy Morisot
Bibliographic record
Abstract
Claude-Barthélemy Morisot (Dijon, 1592-1661), a learned man, avid reader of classical literature, fine lover of art and alchemical symbolism, and author of many Latin works, was also a collector of manuscripts. Eight medieval manuscripts owned by Morisot have been identified in the Bibliothèque nationale de France, where they arrived by various ways. Five of them come from the abbey of Cîteaux, mss latins 2495B, 2727, 3277, 3430 and 8300. Particularly interesting is the ms. lat. 2495B, a lavishly illustrated book containing Hugues of Fouilloy’s Aviary and a Latin Bestiary. Rather than in Paris, as usually suggested, the manuscript was very likely produced in the scriptorium of Cîteaux during the first quarter of the thirtheenth century. The hand of the scribe can be recognized in three other manuscripts from the same scriptorium : Dijon, BM, mss 87 and 218 and, in part, Besançon, BM, ms. 844. The localization of ms. latin 2495B at Cîteaux obliges a reconsideration of the place of origin of ms. 14 in the library at Chalon-sur-Saône, a manuscript coming from the Cistercian abbey of La Ferté and very probably produced in Burgundy around 1250-1270.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.007 |
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".