Bibliographic record
Abstract
At a time when the Métis are becoming increasingly visible in Canadian politics, this unique book offers a practical guide for understanding who they are, how they govern themselves, and the challenges they face on the path to self-government. The Métis have always been a political people. Kelly Saunders and Janique Dubois draw on interviews with elders, leaders, and community members to reveal how the Métis are giving life to Louis Riel’s vision of a self-governing Métis Nation within Canada. They look to the Métis language – Michif – to identify Métis principles of governance that emerged during the fur trade and that continue to shape Métis governing structures. Both then and now, the Métis have engaged in political action to negotiate their place alongside federal and provincial partners in Confederation. As Canada engages in nation-to-nation relationships to advance reconciliation, this book provides timely insight into the Métis Nation’s ongoing struggle to remain a free and self-governing Indigenous people.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".