The Ugly Truth to Canada’s Big Lie: A Tale of Ongoing Settler Colonial Genocide of Canada’s Indigenous Peoples and the Creation of an Apartheid State
Bibliographic record
Abstract
Drawing heavily on Indigenous authors, this paper explores the historical roots to the emergence of Canada as a genocidal and apartheid state with respect to its Indigenous peoples. A major theme of the paper is that historical injustices grounded in settler colonial priorities continue to inform contemporary socio/political contexts that maintain Canada’s status as a racist, apartheid and genocidal state with respect to Indigenous peoples. Examples drawn from the Lytton fire of 2020 and the November floods in British Columbia highlight that the needs and rights of Indigenous peoples will always take a back seat to Canada’s corporate economic interests. A corollary to the paper constitutes the dismantling of Canada’s “Big Lie” that Canada is a progressive country that has shown considerable progress in its relationship with Indigenous peoples.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.054 | 0.043 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".