Bibliographic record
Abstract
Two centuries ago, many hundreds of Iroquois - principally from what is now Kahnawà:ke - left home without leaving behind their ways of life. Recruited to man the large canoes that transported trade goods and animal pelts from and to Montreal, some Iroquois soon returned, while others were enticed ever further west by the rapidly expanding fur trade. Recounting stories of Indigenous self-determination and self-sufficiency, Iroquois in the West tracks four clusters of travellers across time, place, and generations: a band that settled in Montana, another ranging across the American West, others opting for British Columbia and the Pacific Northwest, and a group in Alberta who were evicted when their longtime home became Jasper National Park. Reclaiming slivers of Iroquois knowledge, anecdotes, and memories from the shadows of the past, Jean Barman draws on sources that range from descendants' recollections to fur-trade and government records to travellers' accounts. What becomes clear is that, no matter the places or the circumstances, the Iroquois never abandoned their senses of self. Opening up new ways of thinking about Indigenous peoples through time, Iroquois in the West shares the fascinating adventures of a people who have waited over two hundred years to be heard.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".