Asinabka in four transformation: how settler colonialism and racial capitalism sutured urbanization in Canada’s capital to the plunder of Algonquin territory
Bibliographic record
Abstract
This paper contributes to scholarship on settler colonial urbanism by examining the historical constitution of Canada’s National Capital Region at the intersection of racial capitalism and settler colonization. Its impetus arises from four years of solidarity work with Algonquin land defenders and accomplices struggling to reclaim Asinabka, an Algonquin sacred complex of islands and waterfalls in the Kitchissippi (Ottawa River) between the Canadian cities of Ottawa and Gatineau. Situating the current struggle within the 200 years of crisis and consolidation that produced the Ottawa Valley, we track the entwined histories of settler capitalists transforming Asinabka in response to the shifting demands of racial capitalism alongside the ceaseless effort by Algonquin people to exercise jurisdiction over the islands in the face of colonial incursion and theft. To do so, we read across 100 years of colonial archives in conjunction with settler historiographies of the lumber industry. We argue that while local in form, Asinabka’s transformations were constitutive of place- and race-making processes at a variety of scales and sites throughout Algonquin territory. We conclude by considering how traces of this history are recursively mobilized in the present to transform Asinabka into an investment property.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.020 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".