Assimilation and Partition: How Settler Colonialism and Racial Capitalism Co-produce the Borders of Indigenous Economies
Bibliographic record
Abstract
The history of colonialism in Canada has meant both the partition of Indigenous peoples from participating (physically, politically, legally) in the economy and a relentless demand to become assimilated as liberal capitalist citizens. Assimilation and segregation are both tendencies of colonization that protect the interests of white capital. But their respective prevalence seems to depend on the regime of racial capitalism at play. This paper examines the intersection of settler colonization and racial capitalism to shed light on the status of Indigenous economic rights in Canada. I ask, to what extent are Indigenous peoples understood to have economic rights—defined here as the governing authority to manage their lands and resources—and, how we can we analyze these rights to better understand the conjoined meanings of colonialism and capitalism as systems of power today? In this paper, I look at two sites to address this problem: first, I examine how the Supreme Court of Canada has defined the “Aboriginal right” to commercial economies since the patriation of Aboriginal rights into the Constitution in 1982; and, second, I examine how these rights are configured through state resource revenue-sharing schemes with First Nations, in particular from extractive projects, over the past few years. Each case study provides critical material for analyzing the economic opportunities available to First Nations through democratic channels of state “recognition,” as well as when and why tensions between state policies of segregation and assimilation emerge.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.046 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| 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".