"To be or not to be free" : nation and gender in Québécois adaptations of Shakespeare
Bibliographic record
Abstract
At first glance, the long tradition of Quebecois adaptations of Shakespeare might seem paradoxical, since Quebec is a francophone nation seeking political independence and has little direct connection to the British literary canon. However, it is precisely this cultural distance that allows Quebecois playwrights to play irreverently with Shakespeare and use his texts to explore issues of nation and gender which are closely connected to each other. Soon after the Quiet Revolution, adaptations such as Robert Gurik's Hamlet, prince du Quebec and Jean-Claude Germain's Rodeo et Juliette raised the question "To be or not to be free" in order to interrogate how Quebec could take action to achieve independence. In Macbeth and La tempete, Michel Garneau "tradapts" Shakespeare and situates his texts in the context of the Conquest. Jean-Pierre Ronfard's Lear and Vie et mort du Roi Boiteux carnivalize the nation and permit women to rise to power. Adaptations since 1990 reveal awareness of the need for cultural and gender diversity so that women, queers, and immigrants may contribute more to the nation's development. Since Quebec is simultaneously colonial, neo-colonial, and postcolonial, Quebecois playwrights negotiate differently than English Canadians the fine line between the enrichment of their local culture and its possible contamination, assimilation, or effacement by Shakespeare's overwhelming influence, which thus allows them to appropriate his texts in service of gender issues and the decolonization of the Quebec nation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.029 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".