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‘True, Publick and Notorious’: The Privateering War of 1812

2021· article· en· W3196148223 on OpenAlexaboutno aff
Faye Margaret Kert

Bibliographic record

VenueLondon Journal of Canadian Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsNavyAdversaryLawHistoryGovernment (linguistics)Political sciencePower (physics)Spanish Civil WarEconomic historyAncient history

Abstract

fetched live from OpenAlex

During the War of 1812, hundreds of private armed vessels, or privateers, carrying letters of marque and reprisal from their respective governments, served as counterweights to the navies of Great Britain and the United States. By 1812, privateering was acknowledged as an ideal way to annoy the enemy at little or no cost to the government. Local citizens provided the ships, crews and prizes while the court and customs systems took in the appropriate fees. The entire process was legal, licensed and often extremely lucrative. Unlike the navy, privateers were essentially volunteer commerce raiders, determined to weaken the enemy economically rather than militarily. So successful were they, that from July 1812 to February 1815, privateers from the United States, Britain, and the British provinces of New Brunswick and Nova Scotia (as well as those sailing under French and Spanish flags) turned the shipping lanes from Newfoundland to the West Indies, Norway to West Africa, and even the South Pacific into their hunting grounds. In the early months of the war, privateers were often the only seaborne force patrolling their own coasts. With the Royal Navy pre-occupied with defending Britain and its Caribbean colonies from French incursions, there were relatively few warships available to protect British North American shipping from their new American foes. Meanwhile, the United States Navy had only a handful of frigates and smaller warships to protect their trade, supported by 174 generally despised gunboats. The solution was the traditional response of a lesser maritime power lacking a strong navy—private armed warfare, or privateering.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.037
GPT teacher head0.302
Teacher spread0.265 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueLondon Journal of Canadian StudiesSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207