After the Forest Burns: Storying Wildfire in Western Canada Through Visual Material Narratives
Bibliographic record
Abstract
With anthropogenic climate change exacerbating the frequency and intensity of wildfires in Western Canada, lived experiences of climate change are becoming increasingly visible and felt. This thesis considers the forest after it burns and before ecological regeneration becomes visible. Using semi-structured interviews, place-based conversations, and “slow-writing” and “slow-looking” as methods, I examine how six artists engage with post-wildfire sites in Western Canada, incorporating materials like ash and charcoal into their work. These projects demonstrate that material relations and artistic practices can foster new imaginaries necessary for responding to the climate crisis. Drawing on Ursula K. Le Guin’s theory of the carrier bag and Haraway’s concept of “staying with the trouble” I propose that the act of gathering, both with hands and in community, offers a critical, decolonized approach to storying wildfire in which loss is both catastrophic and regenerative.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.031 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".