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Record W2996119115 · doi:10.7202/1065393ar

To promote the Interest and Security of the North West Company

2019· article· en· W2996119115 on OpenAlexvenueaboutno aff
Jean Morrison

Bibliographic record

VenueOntario History · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCONQUESTWest coastHistoryAmerican westFur tradeGold coastSpanish Civil WarNorth westEconomic historyEthnologyArchaeologyGeographyAncient historyOceanography

Abstract

fetched live from OpenAlex

While the traditionally-known elements of the War of 1812 deserve recognition, they are not the whole story. The British fought to save the Canadas from conquest by the Americans, but they also strove to save and expand the territorial base of the fur trade, a vital element in the British North American economy, a goal shared by the North West Company. Since Fort William was located in Upper Canada and many NWC actions took place in Upper Canada, the roles of both the Company and the Fort are an integral part of Ontario history. This article examines actions at Sault Ste. Marie, the roles of the schooners Nancy and Perseverance, the development of Yonge Street and the route from Lake Simcoe to Wasaga, the struggle to maintain the fur trade canoe route between Fort William and Montreal, NWC involvement in the taking of Prairie du Chien and the decision made to take Astoria from the American Fur Company which led to British rule over the Columbia Department on the Pacific coast.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.003

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.

Opus teacher head0.017
GPT teacher head0.200
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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