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Record W2791986994 · doi:10.1177/0843871417745731

British impressment and its discontents

2018· article· en· W2791986994 on OpenAlexaff
Nicholas Rogers

Bibliographic record

VenueInternational Journal of Maritime History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsIndependence (probability theory)Argument (complex analysis)PoliticsLawSubject (documents)ImperfectPolitical scienceSociologyHistoryLaw and economicsPolitical economyPhilosophy

Abstract

fetched live from OpenAlex

This article restates the argument that naval impressment was a contentious issue in the eighteenth century. It was subject to legal challenges during the American War of Independence. It engendered mutinies and affrays and a growing volume of litigation as the century progressed. The notion that impressment was insignificant is based on an atypical set of years during which the Admiralty strove to make naval recruitment as seamless as possible by allowing regulating officers in the ports to volunteer men who might otherwise have been impressed. The Admiralty had no wish to make impressment a contentious issue in the volatile political climate of the 1790s. It was aided in this endeavour by the circumstance of dearth and destitution, and the willingness of local authorities to augment existing bounties. As the example of the Sea Fencibles subsequently revealed, volunteering was an imperfect index of patriotic endeavour, despite claims to the contrary.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.298
Threshold uncertainty score0.593

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.016
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0050.006
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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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