Bibliographic record
Abstract
Abstract Montreal-born playwright, translator, and climate change theater activist Chantal Bilodeau is currently based in New York City. As a co-founder of the biennial Climate Change Theatre Action (CCTA), which is a growing international initiative to foster climate change awareness through the performance of very short plays commissioned from playwrights in dozens of countries, she has been dividing her time between coordinating theater-based activism, publishing, and curating a blog series on HowlRound.com, and writing short plays as well as an eight-part series of full-length dramas. As she argues in her 2015 article “In Search of a New Aesthetic,” it is necessary “to move beyond writing plays about climate change to writing plays that are climate change – plays that embody, in form, content, and process, the essence of the issues we are facing. Plays where the concept of climate change is so integral to the work that the term doesn’t even need to be uttered. New problems cannot be solved with old solutions. A new consciousness requires new artistic constructs.” On the eve of the CDE conference, Chantal Bilodeau spoke about her research-based creative process at a public event in downtown Graz. At the conference, she presented a keynote on how her work in climate change theater addresses crisis as an ongoing condition. This interview provides detailed insights into Bilodeau’s artistic concepts, theater practices, and climate change activism.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".