Who’s counting? Spatial politics, ecocolonisation and the politics of calculation in Boundary Bay
Bibliographic record
Abstract
Answering the simple question, ‘who’s counting’, reveals much about the spatial and cultural politics of ecosystem management. In this paper, I unite the concept of ‘ecocolonisation ’ with the body of work on the politics of calculation. I argue that political technologies – including calculative techniques such as the enumeration of contamination levels – are a form of ecocolonisation that have considerable political effects on Indigenous communities. I explore the ways that historically connected Indigenous commu-nities are divergently impacted by shellfish regulations and water pollution through an investigation of Boundary Bay, which straddles the Canada–US border on the Pacific coast. In closing, I suggest the on-going need to decolonise our understanding of calculative techniques for ecosystem management, and offer a more nuanced interpretation of space that accounts for both traditional boundaries and connected ecosystems. Key words: North America, ecocolonialism, politics of calculation, spatial politics, shellfish harvesting, open-ended interviews
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.039 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.006 |
| 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".