« La vérité ne peut être trop claire. » Ésope et ses fables à l’épreuve de la scène dans deux comédies de Boursault
Bibliographic record
Abstract
Dans Ésope à la ville et Ésope à la cour d’Edme Boursault, la figure du fabuliste infléchit de manière significative l’interprétation morale et la portée satirique des fables. Les choix biographiques et dramaturgiques opérés par l’auteur en sont certes à l’origine : placé en position d’autorité et occupant le rôle de ministre d’État de Crésus, le personnage de Boursault s’éloigne en partie du mythe ésopique, ce qui modifie le statut et la réception de ses fables. Ainsi, le spectateur assiste souvent à un échec flagrant de la fable comme outil de transmission d’une morale : prononcées par l’Ésope de Boursault, les fables ne garantissent pas toujours un accès à la sagesse.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".