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Record W4413655761 · doi:10.1080/03086534.2025.2547393

Persuasive Forests for Maritime Britain: Canada and Britain’s Maritime Power from the War of the Spanish Succession to the Seven Years’ War

2025· article· en· W4413655761 on OpenAlexaboutno aff
Yuichi Hiono

Bibliographic record

VenueThe Journal of Imperial & Commonwealth History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsEcological successionPower (physics)HistoryMaritime historyAncient historyEconomic historyGeography

Abstract

fetched live from OpenAlex

This study examines the role of Canadian forest resources in British imperial expansion, highlighting how environmental factors such as timber supply influenced imperial policies, naval strategies, and territorial acquisitions from the late seventeenth century to the mid-eighteenth century. Britain maintained a keen interest in North American forest resources from the perspective of enhancing its maritime power. This was articulated as a crucial consideration in the prosecution of warfare against France and imperial expansion in North America by contemporary politicians, administrators, military personnel, and pamphleteers. The British Empire's environmental approach to Canada, specifically regarding forest resources for naval power, was intimately connected with its approach to the Thirteen Colonies, while serving as justification for expansion into Canada. This study reveals how environmental rhetoric transformed into practical policy, particularly through the establishment of Halifax as a naval base. It also argues that expectations regarding natural resources, especially their naval value, served as a driving force behind imperial territorial expansion, emphasising the reciprocal relationship between political activities and environmental discourse. By examining how developments in one region influenced others, this study illuminates how territorial expansion and resource procurement expectations were bidirectionally linked, manifesting in political discourse during both war and peace.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.234
Teacher spread0.227 · 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.

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
Published2025
Admission routes1
Has abstractyes

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