Making the voyageur world travelers and traders in the North American fur trade
Bibliographic record
Abstract
"French Canadian workers who paddled canoes, transported goods, and staffed the interior posts of the northern North American fur trade became popularly known as voyageurs. Scholars and public historians alike have cast them in the romantic role of rugged and merry heroes who paved the way for European civilization in the wild Northwest. Carolyn Podruchny looks beyond the stereotypes and reveals the contours of voyageurs' lives, world views, and values." "Making the Voyageur World shows that the voyageurs created distinct identities shaped by their French-Canadian peasant roots, the Aboriginal peoples they met in the Northwest, and the nature of their employment as indentured servants in diverse environments. Voyageurs' identities were also shaped by their constant travels and by their own masculine ideals that emphasized strength, endurance, and daring. Although voyageurs left few conventional traces of their won voices in the documentary record, an astonishing amount of information can be found in descriptions of them by their masters, explores, and other travelers. By examining their lives in conjunction with the metaphor of the voyage, Podruchny not only reveals the everyday lives of her subjects - what they ate, their cosmology and rituals of celebration, their families, and, above all, their work - but also underscores their impact on the social and cultural landscape of North America."--BOOK JACKET.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.013 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".