Redefining the Language of Care: A Reflection on Wajdi Mouawad’s Dramaturgy of Care and the Possibilities of Theater
Bibliographic record
Abstract
Focusing on Wadji Mouawad’s redefinition of care, my dissertation explores the Francophone artist’s performances and para-theatrical works, using his pandemic corpus as a starting point. Mouawad is a well-established and institutionally recognized figure, a polymorphous artist in the process of being canonized. He engages with care in all the spheres of his career, revolving around the questions of reparation, solidarity and allyship: reading and researching his work teaches us how to feel about care, how to understand our identity, how to live with the Other, both in a local context and a global or pandemic one. Care is a term drawing on attentiveness, responsibility, competence and responsiveness, that emerges in the Francophone performance as a restorative mediation of art and ethics in which the invisible, the minor and the marginalized are at the core of a symbolic, linguistic and ethical form of care. Moving away from the theoretical framework of care ethics established by Carol Gilligan and Carol Gilligan and introduced in French by Fabienne Brugère, Mouawad redefines the language of care. In this thesis, my goal is to investigate how Mouawad’s diasporic perspective challenges standard approaches to care studies and, using his work as a case study, show the unique possibilities of theater that complement the existing research in the field – connectedness and community, interactivity and civic action, plurality, physicality and spatiality – and structure a dramaturgy of care. A case study on which my dissertation pivots, the evolution of this artist provides an important insight into the possibilities of theater in our socio-political present, within and outside the Francophone borders.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.042 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".