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Record W2408773462 · doi:10.1057/9781137461964_1

Introduction: Into the Eurozone: European Dimensions of British Romanticism, Then and Now

2015· book-chapter· en· W2408773462 on OpenAlexaff
Steve Clark, Tristanne Connolly

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2015
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsSt. Jerome's University
Fundersnot available
KeywordsRomanticismEnlightenmentHistoryRomanceScottish EnlightenmentOrientalismLiteratureColonialismArt historyArtPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Studies of Enlightenment tend to take as their starting point the issue of whether the movement should be regarded as a unified phenomenon, based not only on circulation of texts but on networks of personal connection, such as Hume in Paris and Gibbon in Geneva, and Voltaire and Rousseau in Britain. European Romanticism tends to be perceived apart from these interactions, instead divided up into indigenous traditions, each embedded in its own distinctive language, ethnicity and popular culture. In contrast to the exhaustive attention paid to colonial contexts, comparatively little has been given to the interrelation of British Romanticism to other European national variants. James Chandler’s Cambridge History of English Romantic Literature (2009) does not even have an index entry for Europe. It includes essays by David Simpson on ‘France, Germany, America’, Esther Schor on ‘The “Warm South”’, and Mary Favret on ‘Writing, Reading and the Scenes of War’; overall coverage, however, remains minimal. Nicholas Roe’s Romanticism: An Oxford Guide allots ten pages of over 700 to one essay on ‘Europe’ by Christoph Bode, while Michael Ferber’s Companion to European Romanticism omits Scandinavia, Holland and Belgium, Portugal and almost the whole of Eastern Europe (only containing entries on Poland and Russia). This collection seeks to consider what British Romanticism looks like when its own international connections and circulations are taken into account.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.204
Teacher spread0.184 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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