Post-wildfire morel mushroom harvesting and the production of post-disaster opportunity in settler-colonial Canada
Bibliographic record
Abstract
This thesis explores processes of opportunism and socio-political change following so-called “natural” disasters through a multi-sited case study of the post-wildfire morel mushroom (Morchella sp.) harvest in Western Canada. Morels are edible fungi which fruit en masse the first spring season following large wildfires in western North America. This work follows harvesters who picked morels after the 2016 Horse River wildfire on Treaty 8 territory (near Fort McMurray, Alberta), and the 2018 Shovel Lake wildfire on Nadleh Whut’en, Stellat’en, and Nak’azdli Whut’en Territories (British Columbia). Thinking with and beyond the concepts of disaster capitalism and disaster colonialism, this thesis extends analyses of post-disaster change from considerations of states and large corporations to smaller-scale actors. As such, I consider the roles of hobbyist local harvesters, precarious pieceworkers in the wild mushroom industry, Indigenous Guardians of the Land, and forest ecologies more broadly. I demonstrate that while disaster capitalism and disaster colonialism are pervasive in the post-disaster landscape, they are not inevitable. Instead, I argue that post-disaster opportunity is emergent, contingent, and includes possibilities for reworking, resistance, and resurgence. In this work, I argue that settler-colonial aims to subsume nature produce the ecological conditions which make the commercial mushroom harvest possible. This industry, in turn, disproportionately benefits settler harvesters over Indigenous Nations and forest ecologies. I also demonstrate that the materiality of wildfire memories affects different groups’ capacities to harvest mushrooms, influence others, and define the ethical standards of the harvest. Finally, I examine how settler claims to post-disaster opportunity on Indigenous lands¬ are connected to broader affective “settler common sense” and “white possessive” claims to adventure, freedom and commerce. Together, these findings demonstrate how the concurrent and often contradicting post-disaster opportunism demonstrated by small-scale actors relate to broader politics about natural disasters, environmental politics, resource extraction, and Indigenous governance within Canada and in other settler-colonial contexts.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".