Theatrical Calls to Climate Action: Excerpts of a Conversation
Bibliographic record
Abstract
Cet article est extrait d’une discussion sur la performance et l’action en faveur du climat qui a eu lieu à l’occasion du colloque annuel de l’Association canadienne de la recherche théâtrale (ACRT), Partition/Ensemble 2020. Dix artistes, activistes et universitaires rapportent leur expérience de la performance comme outil dans la lutte contre les changements climatiques. Leurs difficultés et leurs tactiques sont abordées, des exemples détaillés d’actions climatiques théâtrales sont exposés et la nécessité pour les autres artistes et activistes d’employer les outils du théâtre et de la performance pour raconter les récits de la crise climatique est soulignée de manière pressante. L’article, qui rend compte de la lame de fond d’énergie créative consacrée à la crise climatique, servira du même coup d’inspiration à celles et ceux qui veulent mettre leurs talents artistiques au service de la lutte contre les changements climatiques.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.034 | 0.026 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 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".