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Record W2416634403 · doi:10.1057/9781137303851_11

The Art and Science of Politics in Blackwood’s Edinburgh Magazine, c. 1817–1841

2013· book-chapter· en· W2416634403 on OpenAlexaff
Duncan Kelly

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsQueen's University
Fundersnot available
KeywordsPoliticsArtArt historyMedia studiesHistoryPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

When it was established in 1817, the ‘paranoid politics’ embodied in the polemical pyrotechnics of Blackwood’s Edinburgh Magazine masked a really rather conventional approach to the science of politics. 1 It combined a broad eighteenth-century concern with the philosophical history of government, and a romantic anti-liberalism expressed in reactionary rhetoric. 2 In France, writers like Benjamin Constant and the doctrinaires focused on the need to reform the post-Napoleonic and Restoration politics to meet the needs of a representative republic better based on commercial rather than military competition. One had to distinguish between the liberty of the ancients and the moderns. In post-Napoleonic Britain, however, the terms of political debate remained located within a traditional narrative of the balanced constitution and the evolutionary success of the English Parliament, allied with pragmatism concerning the economic limits to modern politics. Debates about sovereign debt in the pursuit of conquest abroad, or the price of reform (whether corn laws or poor laws) at home, provoked much consternation in all the periodicals. In Blackwood’s , although the tone was often bombastic, its rhetoric relied upon several ruling clichés of political argument.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.009
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.023
GPT teacher head0.224
Teacher spread0.201 · 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
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

Citations1
Published2013
Admission routes1
Has abstractyes

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