Repair and the 2014 Mount Polley Mine disaster: Antirelationality, constraint, and legacies of socio-ecological disruption in settler colonial British Columbia
Bibliographic record
Abstract
In this article I situate the 2014 Mount Polley Mine disaster within centuries-long relations of colonial-modernity in the region currently known as British Columbia, Canada. Guided by the work of Gilmore and Moten, I argue that repairing colonial systems of mass disruption and death requires attending to the logics that enable and normalize these systems of violence. To support this argument, I turn to British Columbia’s early settler colonial history—a violent and destructive history forged through mining—and outline large-scale socio-ecological violence that occurred throughout this period. By turning to this history, I show how these disruptions are connected to the Mount Polley Mine disaster through ongoing and pervasive logics that enable, and often even celebrate, these processes of violence and disruption.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".