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Record W2056192923 · doi:10.7202/009259ar

Poetic Hells and Pacific Edens

2004· article· en· W2056192923 on OpenAlexvenueno aff
Tim Fulford

Bibliographic record

VenueRomanticism on the Net · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryContext (archaeology)PoliticsPublic sphereLiteratureOrientalismHistoryPower (physics)Argument (complex analysis)EmpireLawArtPolitical scienceAncient history

Abstract

fetched live from OpenAlex

The subject of this article is the vicious public dispute between Southey and Byron—the well-known argument that centred on the two poets’ Visions of Judgment . Precipitated by Southey’s call for censorship of immoral literature and punishment of “Satanic” authors, the dispute was won—according to twentieth-century critics—by Byron, whose devastating parody undermined the credibility of Southey’s political poetry. It has long been understood that the dispute was about more than personal enmity, that what was in question was literature’s relationship to power and its proper role in the body politic. What has received less attention is the fact that the dispute concerned not only the domestic scene (literature’s relationship to Church and State in Britain) but also the widening sphere of empire. It is my intention to focus on the imperial sphere in what follows so as to reveal that Southey and Byron were arguing in and for a new context. They were setting out rival models of colonialist and Orientalist poetry for an age in which empire was being expanded and imperialism redefined. These models include two long poems that scholars have hitherto failed to relate to the poets’ dispute—Byron’s The Island (1823) and Southey’s Tale of Paraguay (1825). Both these poems look different when we understand their place in the poets’ contest to make their own colonialist representations of native peoples prevail over the hearts and minds of the British public.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score0.468

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.247
Teacher spread0.230 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2004
Admission routes1
Has abstractyes

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