Using dedications to Charles VI to convey political messages: Honorat Bovet, Philippe de Mézières, Christine de Pizan and Pierre Salmon
Bibliographic record
Abstract
Abstract The dedication of four French-language advice books to Charles VI of France (r. 1380–1422), two just after the king’s declaration of personal rule and two during the period dominated by his mental illness, was a strategic choice by the books’ authors. Honorat Bovet, Philippe de Mézières, Christine de Pizan and Pierre Salmon used these dedications to convey political messages not only to the king but also to his powerful male relatives. The dedications, the way the manuscripts represented Charles both textually and visually and the way the texts urged Charles’ relatives to support Charles and each other, all place the king at the centre of the political conversation. Casting both themselves and the king’s relatives as important contributors to French political life, the writers used the role of Charles as imagined reader of the books to urge his male relatives to prioritize the needs of king and kingdom above their own.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".