Bibliographic record
Abstract
In about 1800, fur trader Charles Ermatinger married an Obijwa woman, Mananowe. Their three sons grew up with both their mother’s hunter/warrior culture and their father’s European culture. As adults, they lived adventurously in Montreal and St Thomas, where they were accepted and loved by fellow citizens while publicly retaining their Ojibwa heritage. The Ermatingers contrasts the “European” commercial and trading society in urban Montreal, where Charles was brought up, with the Ojibwa hunter/warrior values of Mananowe’s society. Their sons variously risked life at war in Spain and in the Upper and Lower Canada rebellions, policed Montreal streets in an era of riots, spied on the Fenians on the US border, and made a hazardous journey to help establish the Canadian Pacific Railway’s route. Brian Stewart argues that the sons’ Ojibwa traditions and values shaped their adult lives: during their adventures, the sons fought for Native rights for themselves as well as for Ojibwa relatives and friends. The Ermatingers is an exciting story that contributes to our understanding of Indian and European biculturalism and its effects on those who make up the various forms of Métis society today. It will appeal to general readers as well as scholars and students in Native studies and Canadian history.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".