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2024· book-chapter· en· W4398207266 on OpenAlexaff
Jonathan Cutmore

Bibliographic record

VenueOxford University Press eBooks · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract Review journals of the Romantic period gained cultural and political agency by fusing literature with politics. They were the primary representative in print of middle-class cultural and political ambition. Each of the famous review journals—the Edinburgh, the Quarterly, and the Westminster—was initiated and conducted by a socio-political coterie, liberal, conservative, or radical. Each review journal advanced its cultural and political agenda by subordinating authors to subjects. The intention of a review journal’s conductors and contributors was not to persuade the unpersuaded but to attract, inform, and rally a sympathetic constituency of readers. Readers elevated the status of a review journal by believing (not always correctly) that it influenced opinions, reputations, and the sale of books. The review journals’ cultural and political agency faded with the passage of parliamentary reform, with the rise of a mass readership, and in the face of competition from general-interest magazines.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.575
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0070.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4250.347

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 head0.061
GPT teacher head0.209
Teacher spread0.148 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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