French Canadians, Furs, and Indigenous Women in the Making of the Pacific Northwest
Bibliographic record
Abstract
Jean Barman was the recipient of the 2014 George Woodcock Lifetime Achievement Award. In French Canadians, Furs, and Indigenous Women in the Making of the Pacific Northwest, Jean Barman rewrites the history of the Pacific Northwest from the perspective of French Canadians attracted by the fur economy, the indigenous women whose presence in their lives encouraged them to stay, and their descendants. Joined in this distant setting by Quebec paternal origins, the French language, and Catholicism, French Canadians comprised Canadiens from Quebec, Iroquois from the Montreal area, and métis combining Canadien and indigenous descent. For half a century, French Canadians were the largest group of newcomers to this region extending from Oregon and Washington east into Montana and north through British Columbia. Here, they facilitated the early overland crossings, drove the fur economy, initiated non-wholly-indigenous agricultural settlement, eased relations with indigenous peoples, and ensured that, when the region was divided in 1846, the northern half would go to Britain, giving today’s Canada its Pacific shoreline.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".