[Le] rle des mezzo-sopranos dans Carmen de Georges-Bizet, Samson de Dalila de Camille Saint-Sans et Werther de Jules Massenet
Bibliographic record
Abstract
Mezzo-soprano roles in French opera at the end of the nineteenth century were fatalistic; that is, the y inevitably bring about min or death. This thesis studies three mezzo-soprano roles in French Romantic opera from a performer's perspective: Carmen in Georges Bizet's Carmen, Dalila in Camille Saint-Sans' Samson et Dalila and Charlotte in Jules Massenet's Werther. These three characters cause the min of three romantic heroes all performed by tenors. What are the new narrative and dramatic functions of mezzo-sopranos in French opera at the end of the nineteenth century? As a performer, it is important to understand one's voice-type, the roles that are generally attributed to it, and the impact they have on dramatic and musical representation. This short analysis will help young performers in their approach to a character in order to have a better comprehension of aIl the dimensions and subtleties that are related to it.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".