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Record W2558465251 · doi:10.5539/ells.v6n4p1

The Reception of Milton’s Samson Agonistes in Coleridge’s Remorse

2016· article· en· W2558465251 on OpenAlexvenueno aff
Takehiro Hashimoto

Bibliographic record

VenueEnglish Language and Literature Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
Fundersnot available
KeywordsRemorsePoetryDialogicCharacter (mathematics)LiteraturePhilosophyTragedy (event)Argument (complex analysis)NegationExpression (computer science)ArtPsychologyLinguisticsSocial psychologyComputer science

Abstract

fetched live from OpenAlex

The present study explores the influences of Milton’s Samson Agonistes on Coleridge’s Remorse in terms of poetic dialogue. Poetic dialogue is an open-ended poetic collaboration between authors consisting of various poetic forms of literature (Magnuson, 1988). The study of such literary collaboration is usually concerned with contemporary authors. This study, however, proposes that poetic dialogue is possible between Coleridge and precedent poets. Magnuson (1988)’s theory of poetic dialogue found that there are two collaborative processes of the negation and application of the character. In the process of negation, Coleridge denies the image of being surrounded by a swarm of dangers of hornets in Milton’s Samson Agonistes. Coleridge changes the figurative expression of hornets to the figurative expression of coldness to express his romantic imagination. In the process of the application of the character, Coleridge uses Dalila’s argument which evades responsibility in Milton’s Samson Agonistes. The main character in Coleridge’s Remorse, Ordonio, changes the focus of the argument from individual fault to something that can happen to everyone. This, in turn, increases Ordonio’s affliction later. Coleridge transfuses Dalila’s character into Ordonio so that the degree of tragedy increases. With these poetic dialogues in mind, the paper concludes that Milton is an interlocutor of poetic dialogue as if Milton is in front of Coleridge. Coleridge can conduct dialogue with Milton, allude to and revise Milton’s poems, and generate open-ended dialogic poems. This dialogue, in turn, would change and enlarge Milton’s poetic space.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.202

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 studies0.0000.000
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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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