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Record W2132853094 · doi:10.1017/s0018246x01001820

LANGUAGE AND POLITICS AT THE WESTMINSTER ELECTION OF 1796

2001· article· en· W2132853094 on OpenAlexaff
Timothy Jenks

Bibliographic record

VenueThe Historical Journal · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVictoryParliamentBoroughPoliticsPolitical radicalismPolitical scienceLawHistoryEconomic historyPolitical economySociologyPublic administration

Abstract

fetched live from OpenAlex

This article looks at one of the less frequently examined contests in the parliamentary borough of Westminster – the election of 1796, in which Charles James Fox, Admiral Allan Gardner, and John Horne Tooke vied for the borough's two seats. This election offers an opportunity to investigate the patriotic discourses, representational strategies, and styles of political leadership available to loyalism and popular radicalism in the early years of the war with Revolutionary France. The period of the election spanned the second anniversary of Admiral Richard Howe's victory of 1 June 1794, creating significant opportunities for links to be made between Gardner's naval position and the necessity of electing a loyalist candidate. The article investigates electoral politics with an eye towards reconstructing some important features of Westminster political culture in the 1790s. While Gardner's electoral posture is revealed to depend on a series of stereotypes operating around the image of the ‘political’ admiral, Tooke's is shown to have been heavily informed by his philological studies. Given the long history of admirals serving as MPs for Westminster and the persistent presence of naval officers as members of parliament between 1790 and 1820, the article concludes by suggesting that political admiralship played a role in the development of nineteenth-century styles of political candidacy and leadership.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.010
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.026
GPT teacher head0.229
Teacher spread0.202 · 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 designQualitative
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

Citations18
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueThe Historical JournalSame topicScottish History and National IdentityFrench-language works237,207