Bibliographic record
Abstract
This is a story of me, of my Seawi Clan, and of my Wendat people.It is also a story of Canada and, as such, is an exploration into the historical and future significance of the Native soul of Canada in the world context.Most centrally, it presents our country, Canada, as our motherland, our Eatenonha, instead of as a common property we acquire and own by the fact of being and becoming Canadian.This book is also a gift, from me and from my people, to Canada and to the world.In the first chapter, I am inviting you, dear friend and reader, on a road trip in the eastern United States that I made with my very dear life-companion Bárbara in February 2012, where she and I converse, and at times surmise, about some less certain, sparsely documented aspects of my people's historical trajectory.This first section also takes you to Brazil and Argentina to give you a glimpse into my people's ancestral thinking about the continental unity of a Native American way of comprehending life and the world.In chapter 2, I take you back, through a tale of my unconventional family's life on our Reserve, to a time when Nature herself was so much more present than now in our ways of thinking and living.That piece is titled "Seawi: Hurons of the Rising Sun."Chapter 3 presents the virtually unknown history of the Seawi, a group of Wendat traditionally refractory to the socio-political order imposed by the colonial powers of New France.That section begins to explain how an ancient Aboriginal sense of Canada's viii
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.595 | 0.379 |
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".