Wound and Travel – Sophocles’s 193 Philoctetesand Homer’s Odyssey in Inflammation duverbe vivre (Inflammation of the Verb ToLive) by Wajdi Mouawad
Bibliographic record
Abstract
In her article, the author analyses an example of a text and its staging brought about by the sudden death of a member of the playwright’s creative team. In his solo performance Inflammation du verbe vivre (Inflammation of the Verb To Live), created at the Paris Théâtre National de la Colline in 2015, Canadian-Lebanese playwright, director and actor Wajdi Mouawad interwove the ancient Greek literary and mythological heritage with a personal confession about the loss of his friend and professional colleague Robert Davreu, upgrading it with a socially critical depiction of the situation in today’s Greece. The performance was made as the penultimate part of a staging cycle of Sophocles’s seven preserved tragedies under the common title Le dernièr jour de sa vie (The Last Day of his Life). Mouawad had intended to direct the cycle in new translations by Davreu. Mouawad thus connected the process of mourning the death, which stopped the project, with the documentation of the writing process of the text that he later also directed and performed in the form of a peculiar theatre elegy. He fused the character of Philoctetes with the character of Odysseus; not the Odysseus from Sophocles’s tragedy who plots to steal Philoctetes’s bow, but the one from Homer who seeks his way home to Ithaca for ten years after the conquer of Troy and visits Tiresias’s shade in the underworld.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".