Adapting “Le Grand Will” in Wendake: Ex Machina and the Huron-Wendat Nation’s La Tempête1
Bibliographic record
Abstract
This article examines how La Tempête, a 2011 collaboration between Robert Lepage’s theatre company, Ex Machina, and the Huron-Wendat Nation on the Wendake First Nations reserve, fostered moments of productive interculturalism both on stage and off through what I have termed scenographic dramaturgy. Lepage’s process of scenic re-“writing” responds to the evocative potential of individual performer bodies and a production’s given physical location to craft a postdramatic adaptation rooted in highly physical and visual performance text. This analysis draws on intercultural theory, scenographic dramaturgy, postcolonial theory, and postdramatic adaptation and includes a brief survey of Quebecois and First Nations Shakespeare productions in Canada, highlighting some of the potential traps of staging postcolonial interpretations, including power imbalances among intercultural collaborators and reductionist portrayals of difference. Ex Machina and the Huron-Wendat Nation’s ability to avoid many of these traps will be interrogated through examples illustrating how scenographic dramaturgy’s three central components—bodies in motion, architectonic scenography, and historical spatial mapping—function as both a process and product fostering progressive dialogue between cultures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".