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Record W4386131880 · doi:10.59962/9780774851848

Frigates and Foremasts

2007· book· en· W4386131880 on OpenAlexaboutno aff
Julian Gwyn

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyComputer science

Abstract

fetched live from OpenAlex

The first comprehensive study of naval operations involving North American squadrons in Nova Scotia waters, Frigates and Foremasts offers a masterful analysis of the motives behind the deployment of Royal Navy vessels between 1745 and 1815, and the navy’s role on the Western Atlantic. Interweaving historical analysis with vivid descriptions of pivotal events from the first siege of Louisbourg in 1745 to the end of the wars with the United States and France in 1815, Julian Gwyn illuminates the complex story of competing interests among the Admiralty, Navy Board, sea officers, and government officials on both sides of the Atlantic. In a gripping narrative encompassing sea battles, impressments, and privateering, Gwyn brings to life key events and central figures. He examines the role of leadership and the lack of it, not only of seagoing heroes from Peter Warren to Philip Broke, but also of land-based officials, such as the various Halifax naval yard commissioners, whose important contributions are brought to light. Gwyn’s brilliant evocation of people and events, and the scholarship he brings to bear on the subject makes Frigates and Foremasts a uniquely authoritative history. Wonderfully readable, it will attract both the serious naval historian and the general reader interested in the ’why’ and ’what’ of naval history on North America’s eastern seaboard.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.603
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.171
Teacher spread0.151 · 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
GenreOther

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
Published2007
Admission routes1
Has abstractyes

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