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Record W2993123928 · doi:10.1093/jahist/jaz539

The American Revolution: A World War

2019· article· en· W2993123928 on OpenAlexaff
John Crowley

Bibliographic record

VenueJournal of American History · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIndependence (probability theory)LeagueGeopoliticsColonialismSpanish Civil WarEconomic historyNeutralityHistoryPower (physics)Political scienceLawPolitics

Abstract

fetched live from OpenAlex

This collection of essays shows how the American colonies' independence depended on an international crisis brought about by their rebellion. Seventeen historians from eight countries (museum curators, public historians, historians of science, historians of the Anglo-American colonial and revolutionary periods, and naval and military historians of Great Britain, France, the Netherlands, Spain, India, and the United States) provide a multifaceted but coherent account of the American Revolution's international geopolitics. Drawing on the collections and expertise of the Smithsonian's National Museum of American History, it uses visual evidence to enrich, not just illustrate, its analysis. Naval power was crucial to the conduct and outcome of the Revolutionary War. In the Seven Years' War (1756–1763), the United Kingdom headed an anti-French coalition in theaters on the European continent and extending to the Americas, India, and the Pacific. In the War of American Independence, Britain had no allies, and, with the exceptions of the Gibraltar and Minorcan campaigns, fought overseas. Most of its previous allies and enemies formed the League of Armed Neutrality to trade with France, while Britain's outright enemies each fought for separate strategic reasons that “had little or nothing to do with aiding American independence” (p. 6). Spain, for example, was an ally of France, but not of the United States.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0060.005
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.194
Teacher spread0.186 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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