Bibliographic record
Abstract
This book, and the conference that sparked its creation, originated from John MacKenzie's monograph Empires of Nature and the Nature of Empires (1997).1 Growing up Anishinaabe in the Great Lakes, which are subdivided between two imperial-colonialist states, has made me intimately familiar with the natural world, its sublime power, and the ongoing attempts by states to impose their wills upon the land, water, and people.Displays of power both subtle and overt are a fact of life in the history and contemporary lives of Indigenous peoples in Canada and the world over.Denials by Prime Minister Stephen Harper of Canada's colonial history are only the most recent examples of the dominant empire's ignorance of its past.2Indeed, the prime minister's insistance at a "historic" Crown-First Nations gathering on 24 May 2012 that the key piece of colonial legislation-the Indian Act-would remain is the most recent example.3Moreover the ignorance about First Nations and Aboriginal issues in Canada is best summed up by John Ivison's opinion column in the National Post, where he notes that the chiefs continue to "air old grievances" while a "pragmatic PM looks ahead."4 Ivison and many other Canadians fail to realize that the "pragmatism" evidenced by the prime minister is simply one element of the government's historic and ongoing colonial relationship with First Nations.Canadians seem to think that France and Britain were the colonial powers and that the slate was wiped clean in 1867 with the birth of Canada as a nation.Sadly, this is a failure to grasp the reality that Canada and its provinces are and remain colonial empires with the subjugation of Indigenous population resting at the nation's core.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.536 | 0.357 |
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".