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Record W2020767437 · doi:10.2307/4486084

The French Navy and the Seven Years' War

2006· article· en· W2020767437 on OpenAlexaboutno aff
Kevin Crisman

Bibliographic record

VenueJournal of American History · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNavyCharismaSpanish Civil WarPoliticsIdeologyHistoryWorld War IIPolitical sciencePolitical economyEconomic historyAncient historyLawSociology

Abstract

fetched live from OpenAlex

The Seven Years' War (1756–1763) has been termed the first true world war, due to the geographical extent of the conflict (five continents were involved), the widespread participation by European states and their overseas colonies and allies, and the duration and ferocity of the fighting. Despite this, it has never captured the wholehearted attention of historians and the public. Much of the uninterest can be ascribed to a few key factors: the baffling diplomatic complexity of the conflict, its lack of a propelling ideology or a larger-than-life charismatic leader, and—with the exception of France's loss of Canada—its seemingly indecisive outcome. Recent decades have seen a number of excellent scholarly studies of the war, most of which have focused on the “French and Indian War” campaigns in North America. Comprehensive studies of the entire conflict are relatively few, however, and most date from the early twentieth century. In The French Navy and the Seven Years' War, the historian Jonathan R. Dull goes for the big picture, picking a high vantage point and giving his readers a remarkably detailed look at the political, diplomatic, military, and naval events of the war.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.879

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 studies0.0010.002
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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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 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

Citations2
Published2006
Admission routes1
Has abstractyes

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