Voyages from Montreal, on the river St. Laurence, through the continent of North America, to the frozen and Pacific oceans; in the years 1789 and 1793. With a preliminary account of the rise, progress, and present state of the fur trade of that country. Illustrated with maps
Bibliographic record
Abstract
"Binder's title: Travels in North America. Two pages of errata bound in at end of text. The introductory history of the fur trade has been attributed by J.B. Tyrrell to Roderick McKenzie. Alexander Mackenzie's two exploratory expeditions from Fort Chipewyan on Lake Athabasca, the first from June to September, 1789, down the Mackenzie River to the Arctic, the second to the Pacific via the Peace and Fraser Rivers, from October, 1792 to August, 1793, were compiled from Mackenzie's notes by William Combe, ref. D.N.B. Contents: pp[iii]-viii. Preface.- pp[i]-cxxxii. [McKenzie, R.] A general history of the fur trade from Canada to the northwest [including detailed accounts of the Knisteneaux, Algonquin and Chepewyan [!] tongues] - PP.1-119. Journal of a voyage, &c.- pp [121]-397. Journal of a second voyage, &c. -PP.397-412. [Short geographical view of the country] -PP[413-414] Errata."-- Strathern, G. M., & Edwards, M. H. (1970). Navigations, traffiques & discoveries, 1774-1848: A guide to publications relating to the area now British Columbia. Victoria, BC: University of Victoria, p. 182-183.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.231 | 0.028 |
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".