MétaCan
Menu
Back to cohort
Record W1973729120 · doi:10.7202/031021ar

Selling Beaver Skins in North America and Europe, 1720-1760: The Uses of Fur-Trade Imperialism

2006· article· en· W1973729120 on OpenAlexvenueaboutno aff
Thomas Wien

Bibliographic record

VenueJournal of the Canadian Historical Association · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsBeaverCONTESTCompetition (biology)Fur tradeState (computer science)EmpireCommoditySign (mathematics)Order (exchange)EconomyEconomic historyEconomicsHistoryLawPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

Historians have tended to assume that, during the last decades of French rule in Canada, competition in the fur trade and the imperial contest in North America ran along the same lines. The posts of the rival empire on Hudson Bay or south of Lake Ontario are thought to have posed the main threat to the fortunes of the Montreal-based traders established in the heart of Indian lands. This article assesses the evidence for price competition between such distant antagonists in the trade in beaver. Owing to the Compagnie des Indes' pricing policies, this commodity usually fetched a lower price in the French trading system than it did in the one centred on London. There is little sign of a response in the distribution of beaver receipts to changes in the intercolonial price differential. This suggests that Canadian merchants exaggerated the force of foreign competition in order to lend weight to their appeals to the state for an increase in the price of beaver. The paper concludes that the obsession with the external foe, which the official sources have transmitted to historians, has obscured the internal dynamic of the Canadian fur trade during these years.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.150
Teacher spread0.145 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Historical AssociationSame topicEcology and biodiversity studiesFrench-language works237,207