Climate Change Theater and Cultural Mobility in the Arctic: Chantal Bilodeau’s Sila (2014)
Bibliographic record
Abstract
Based on an interdisciplinary approach to mobility, this paper scrutinizes how Chantal Bilodeau’s climate change play Sila (which had its professional premiere in 2014) unravels mechanisms of meaning construction that prevail in discourse on climate change in the Arctic. Bilodeau addresses the impact of climate change on the Arctic by foregrounding competing notions and practices of mobility promoted by various interest groups living or working in Arctic Canada. Through a focus on real and figurative references to breath and to lines/paths, the play highlights individual experiences of loss and mourning rather than specific instances of environmental disaster. Sila demonstrates that the characters’ socioeconomic status, ethnicity, gender, generation, and species – along with their attitudes towards human and non-human, material and spiritual realms – largely determine which kinds of mobility they are associated with and how these types of physical or cultural mobility are assessed. The play responds to the challenge of dramatizing climate change, a phenomenon which is not graspable through single spectacular environmental disasters, by immersing theatergoers into a complex aestheticized network of life-giving and life-depriving natural and human-made situations and narrative practices that demonstrate intersections between local and global, synchronic and diachronic, material and immaterial phenomena.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".