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Record W2138967896 · doi:10.3138/ecf.27.1.25

Wit at War: The Poetry of John Wilmot and the Trauma of War

2014· article· en· W2138967896 on OpenAlexvenueno aff
Cynthia Richards

Bibliographic record

VenueEighteenth-Century Fiction · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryNarrativeLiteratureContext (archaeology)CourageAmerican poetryCompromisePersonaHistoryClose readingArtPhilosophySociologyHumanitiesTheology

Abstract

fetched live from OpenAlex

To read Rochester’s poetry as reflecting the trauma of war troubles the dominant narrative of his literary legacy. That the persona of those poems often presents a “fragmented self” and the world described is a chaotic, deeply disordered one are givens. To read these poems in the context of trauma studies can compromise two current truisms about his work: its honesty and its wit. For, if trauma narratives are largely significant for their “slippages,” for what they leave “unexpressed,” Rochester’s work, by contrast, is celebrated for its willingness to name what others refuse to. Rochester’s famed obscenity points to his courage to speak the unspeakable, to say what others can and will not. Rochester’s reliance on wit means his poetry operates according to principles of association rather than the troubling disassociation connected to trauma. Reading Rochester’s poetry as reflecting the trauma of war then complicates its status as poetry that critiques its culture—that names its excesses—rather than poetry which is so compromised by those atrocities as unwittingly to hide them.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.187
Teacher spread0.177 · 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 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

Citations4
Published2014
Admission routes1
Has abstractyes

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