MétaCan
Menu
Back to cohort
Record W3029609596 · doi:10.1515/jcde-2020-0004

“Writing Plays That Are Climate Change”

2020· article· en· W3029609596 on OpenAlexaboutno aff
Nassim W. Balestrini

Bibliographic record

VenueJournal of Contemporary Drama in English · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changePublishingMedia studiesHistoryPolitical scienceVisual artsSociologyArtLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.492
GPT teacher head0.407
Teacher spread0.085 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Contemporary Drama in EnglishSame topicClimate Change Communication and PerceptionFrench-language works237,207