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Record W4254988041 · doi:10.3138/chr.91.4.637

Canada or Guadeloupe?: French and British Perceptions of Empire, 1760–1763

2010· article· en· W4254988041 on OpenAlexvenueaboutno aff
Helen Dewar

Bibliographic record

VenueCanadian Historical Review · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireProsperityTreatyMercantilismGeopoliticsNegotiationState (computer science)Power (physics)AssertionBritish EmpireEconomic historyHistoryLawPolitical scienceSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract: The debate that arose in France and Britain over which concession to favour, Canada or Guadeloupe, in the peace negotiations towards the end of the Seven Years' War was a significant historical moment, one in which imperial perceptions can be compared. The different directions taken by the two empires following the war – France's turn towards its maritime and tropical interests, Britain's move from commercial and maritime regulation to the assertion of territorial control over its colonies – suggest that the two nations thought differently about empire. A close examination, however, of discussions in both over the fate of Canada prior to the Treaty of Paris indicates a common intellectual foundation to very different imperial policies. This foundation complicates the dichotomy of a modern, dynamic British empire and a narrowly mercantilist French one. Writers in both empires advanced arguments that, to various degrees, prioritized wealth and security. They reveal a common understanding of the necessary components to increase the power and prosperity of a state and an attempt to come to terms with the growing geopolitical importance of America to standing in Europe. Differences between the empires were, in many respects, ones of degree, not kind.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.007
Science and technology studies0.0070.006
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.214
Teacher spread0.191 · 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 designQualitative
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

Citations20
Published2010
Admission routes2
Has abstractyes

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Same venueCanadian Historical ReviewSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207