Deux réécritures tragiques du mythe d’Orphée à l’âge classique. Orphée (1690) de Louis Lully et Michel Du Boullay et Orphée (1736) de François-Joseph de Lagrange-Chancel
Bibliographic record
Abstract
Il existe peu d’opéras ou de tragédies traitant du mythe d’Orphée en France à l’époque classique. Les deux oeuvres étudiées (Orphée de Louis Lully et Michel Du Boullay, Orphée de François-Joseph de Lagrange-Chancel) s’inscrivent résolument dans le moule du théâtre racinien et font appel aussi aux canons esthétiques en vigueur dans la tragédie lyrique telle que l’a créée Lully. Il s’agit de montrer combien ces deux oeuvres portent un éclairage nouveau sur le mythe en y intégrant une réflexion sur la notion de tragique ainsi que sur le Mal. Il faudra aussi interroger le positionnement par rapport à la tradition, italienne notamment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".