Crisis, Colonialism and Constitutional Habits: Indigenous jurisdiction in times of emergency
Bibliographic record
Abstract
Abstract The Tŝilhqot’in Nation has had ample experience exercising its laws and jurisdiction to manage emergencies during record-breaking wildfires and the COVID-19 pandemic. Despite the Nation’s unique opportunity to formally describe and advance its jurisdiction through its landmark Aboriginal title declaration and beyond, in these crises, Crown actors have defaulted to well-worn patterns of colonialism. Through a detailed analysis of recent Tŝilhqot’in experiences of emergency, we argue that provincial and federal responses to these extreme events reveal constitutional habits: patterns of decision-making that emerge in the immediate response to an emergency, so as to appear automatic. Crown emergency responses assume exhaustive Crown jurisdiction and its corollary erasure and dispossession of Tŝilhqot’in jurisdiction. Fortunately, however, habits can change. We show how Tŝilhqot’in responses to emergency reveal alternate constitutional possibilities: habits of coordination, which, through their attention to responsible relationships, build capacity to respond to emergencies and, more broadly, a changing world.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".