Traduire, imiter et réécrire <i>Agamemnon</i> à la Renaissance : les tragédies de Charles Toutain (1556), Roland Brisset (1589) et Pierre Matthieu (1589)
Bibliographic record
Abstract
Le théâtre de Sénèque a exercé une influence majeure sur le développement de la tragédie française au XVIe siècle. Sa tragédie Agamemnon est ainsi à l’origine des pièces de Charles Toutain, Roland Brisset et Pierre Matthieu. D’un auteur à l’autre, l’écart avec le texte-source devient toutefois de plus en plus important. D’abord entreprise, chez Toutain, avec le souci d’enrichir la langue française, la traduction se fait davantage imitation chez Brisset, dans l’objectif d’instruire le public en lui offrant à méditer le destin malheureux des Grands. La pièce de Matthieu propose quant à elle une interprétation nouvelle du mythe en recourant à l’invention de scènes et de dialogues. Les modifications apportées à l’intrigue originale contribuent à donner une orientation plus politique au mythe d’Agamemnon, par le développement de la thématique de la destruction de Troie et l’inflexion donnée au personnage d’Agamemnon, envisagé à la fois comme une victime expiatoire et un roi devant payer le prix de son ambition. The drama of Seneca exercised a major influence on the development of French tragedy in the sixteenth century. His tragedy Agamemnon is thus the origin of plays by Charles Toutain, Roland Brisset and Pierre Matthieu. From one author to another, divergence from the source text became more and more considerable. Initially undertaken by Toutain to enrich the French language, translation became more like imitation with Brisset, in order to educate the public by offering to mediate the unlucky fate of the ancients. The play by Matthieu proposed a new interpretation of the myth by resorting to the invention of scenes and dialogues. The modifications to the original intrigue contributed to a more political orientation of the myth of Agamemnon, through the development of the theme of the destruction of Troy and the inflexion given to the character of Agamemnon, portrayed as both an expiatory victim and a king paying the price of his ambition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".