La déconstruction du stéréotype dans les contes de fées de la dramaturge sicilienne Emma Dante
Bibliographic record
Abstract
Cet article analyse la manière dont Emma Dante déconstruit les stéréotypes liés au féminin et au genre dans deux de ses adaptations théâtrales contemporaines de contes de fées. L’étude des pièces La bella Rosaspina addormentata (2013) et Anastasia, Genoveffa e Cenerentola (2010) met en lumière la manière dont Dante remplace les modèles patriarcaux par des personnages hybrides et subversifs. Le théâtre devient un espace de « quotidianisation » (« quotidianizzazione »; Barsotti, 2016) du merveilleux d’où émergent les archétypes jungiens de l’Amante et de la Femme sauvage. Le travestissement, la non-binarité et la critique sociale y occupent une place centrale, faisant du théâtre dantien un outil politique et inclusif qui interroge la binarité et valorise la liberté des corps et des identités.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".