The Ghosts of Chroniclers Past: The Transmission and Legacy of the Chroniques of Jean Froissart in the Anchiennes Cronicques d’Engleterre compiled by Jean de Wavrin
Bibliographic record
Abstract
Compared to Georges Chastellain or Jean Molinet, Jean de Wavrin is not a very well known figure of burgundian historiography; he is nonetheless the author of the Anchiennes cronicques d’Engleterre, an extensive historical compilation in six volumes that has not yet been edited in full. About 40% of the text is derived from the Chroniques of Jean Froissart. This article investigates the transmission and the transformation of Froissart’s Chroniques into the Wavrin compilation through a close reading of an episode (the Flemish wars of 1379-85, Froissart, Book II; Wavrin, volume III) in manuscript context. It evaluates the extent to which Wavrin is faithful to Froissart, and explores complex issues of manuscript transmission. This article also examines Wavrin’s compiling method and his interventions on his source text taking into account the impact of these interventions on the reader, and the relationship between the materiality of the manuscript and its content.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".