Reconciling the Ledger: The Rupert’s Land Purchase, Settler Capitalism, and Indigenous Dispossession on the Prairies
Bibliographic record
Abstract
This article examines one of the greatest land grabs in history and what may represent one of the single greatest transfers of wealth from Indigenous peoples to a private company: the so-called Rupert’s Land Purchase of 1870. By comparing the lands and money given to the Hudson’s Bay Company following Confederation for the transfer of Rupert’s Land to Canada with the lands and money set aside for First Nations signatories of Treaties 1–7 (1871–77) and the Métis Nation under the Manitoba Act of 1870, we attempt to establish what this looked like in material terms. In addition to highlighting the scale of wealth dispossession that occurred in both quantitative and qualitative terms, this article is primarily concerned with Canada’s actual implementation of these agreements. In recognizing the treaties beyond their written documents, this article seeks to challenge some of the popular narratives surrounding the Rupert’s Land Purchase and its significance in histories of stolen Indigenous land and wealth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.038 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".