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Record W2803805550 · doi:10.5539/ells.v8n2p69

Aesthetics and Violence in Romantic Poetry

2018· article· en· W2803805550 on OpenAlexvenueno aff
Mohamad Haj Mohamad

Bibliographic record

VenueEnglish Language and Literature Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceBeautyEmbodied cognitionAestheticsPoetryHEROOrder (exchange)PhilosophyPsychologyArtLiteraturePsychoanalysisEpistemology

Abstract

fetched live from OpenAlex

Violence, as exhibited by some romantic poets, works as the dormant, and sometimes explicit, whim to think of and go for. Violence may not only be a temporal tendency but rather a philosophical trend embraced by romantics so that they can offset deep frustration generated by failure to create a better world. Shelley, Blake and Lord Byron do not mind conveying a tendency to go violent in order to bring about a better world, while E.A. Poe gives abnormal images, to define man’s need to liberate himself from restrictions of time and place. Emotions, imaginations and the search for beauty that are, sometimes, seen embodied in their approach to liberty mark the touchstone that romantics felt attached to, which explains why the world needs a hero, a savior, the concept that romantics believed in.This paper sets to investigate this issue of violence, its nature and how it functions in the works of selected romantic men of letters and how it can be affiliated to beauty and ethical and aesthetical values. Edgar Allan Poe will be dealt with along with fellow English romantic figures for, next to his romantic philosophy, he had a prominent tendency for functional violence coupled with aesthetical values.

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 score0.677
Threshold uncertainty score0.351

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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
Published2018
Admission routes1
Has abstractyes

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