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Record W3106768899 · doi:10.21083/irss.v45i0.5464

John Campbell’s “Short Papers” for Lord Bute in the London Evening Post

2020· article· en· W3106768899 on OpenAlexvenueno aff
Matthew Binney

Bibliographic record

VenueInternational Review of Scottish Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsReignGeorge (robot)Administration (probate law)ClassicsNewspaperHistoryRhetoricPrime ministerEveningLawArt historyPolitical sciencePhilosophyTheologyPolitics

Abstract

fetched live from OpenAlex

John Campbell’s (1708-1775) biographer, Guido Abbattista, has argued that Campbell sought to publish a pamphlet, Thoughts on Public Affairs, in 1761. However, a review of Campbell’s private correspondence in 1761 with the future prime minister, John Stuart, 3rd earl of Lord Bute (1713-1792), indicates that the historian sought not to publish a pamphlet, but newspaper articles that promote the king’s new reign and his administration. Six of these articles have been found in the London Evening Post, and they use ideas and language from Henry St. John, 1st viscount Bolingbroke to represent George III as a Patriot King, to advance the Tory policies of Bute’s future administration, and to encourage a prospective peace to the Seven Years’ War (1756-1763). These six, new attributions to Campbell not only expand his extensive canon, but also portray his significant role in offering the rhetoric and depicting the ideas of George III’s early reign and Bute’s ascendency to premiership.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.006
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0140.003

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 head0.086
GPT teacher head0.328
Teacher spread0.243 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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