Un tragique de l’ébranlement : usages et enjeux de la catharsis dans Le sang des promesses (Littoral, Incendies, Forêts, Ciels) de Wajdi Mouawad
Bibliographic record
Abstract
Consacré à la tétralogie Le sang des promesses – composée des pièces Littoral, Incendies, Forêts et Ciels – de Wajdi Mouawad, le présent article s’appuie sur un retour remarqué de la catharsis dans les discours sur le théâtre contemporain pour questionner la capacité du théâtre à développer une pensée du vivre-ensemble. J’étudie d’abord la place du tragique dans la tétralogie avant d’analyser le devenir contemporain de la catharsis, son articulation autour des émotions de peur et de compassion et l’importance de la parole-action au sein de l’oeuvre. Enfin, je redéfinis les rapports entre le cathartique et la « solidarité des ébranlés » théorisée par Jan Patočka avant d’analyser la réception critique des pièces pour y trouver des exemples concrets de l’effet cathartique propre au théâtre de Mouawad.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".