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Record W2109708864 · doi:10.7202/009256ar

“The Renovating Fury”: Southey, Republicanism and Sensationalism

2004· article· en· W2109708864 on OpenAlexvenueno aff
Ian Haywood

Bibliographic record

VenueRomanticism on the Net · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsnot available
Fundersnot available
KeywordsChivalryPolitical radicalismSensationalismPoliticsRomanticismLiteraturePoetryHistoricismState (computer science)HistoryAestheticsArtLawPolitical science

Abstract

fetched live from OpenAlex

This article takes a fresh look at Southey’s radical poetry of the 1790s in order to assess Southey’s mobilization of the tropes of political violence and atrocity. In the repressive antijacobin climate of the mid to late 1790s, radicalism was frequently associated with the sensational imagery of unbridled popular violence and regicide, but such propaganda misrepresented the ways in which radical authors like Southey used their texts precisely to explore and negotiate the problem of “justified” violence. The two texts I focus on are Wat Tyler and Joan of Arc , both of which imagine the bloody overthrow and destruction of a violent British state. But I show that beneath such a sensational vision (which may seem to explain why Wat Tyler was not published) is a more complex and coded engagement with the contemporaneous debate about politics, violence and democracy, including issues such as plebeian chivalry, heroic martyrdom, divine punishment, and state terror. I also argue that the furore surrounding the radical pirating of Wat Tyler in the postwar period overlooked the fact that the text offers the reader various political fantasies and discourses of violence ranging from regicide to patriarchal self-defence, sacrificial defiance and statesmanlike moral reflection. I hope to show, therefore, that a more nuanced historicist approach to Southey’s early poetry in fact yields a more polysemic hermeneutics than has been appreciated by critics from the Romantic period to the present.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.024
GPT teacher head0.288
Teacher spread0.263 · 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
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

Citations2
Published2004
Admission routes1
Has abstractyes

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