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Record W3202836102 · doi:10.3968/12260

Modernism’s Rejection of Tradition through Literary Experimentation in James Joyce’s A Portrait of the Artist as a Young Man and Virginia Woolf’s Mrs. Dalloway

2021· article· en· W3202836102 on OpenAlexvenueno aff
Abdalhadi Nimer Abdalqader Abu Jweid

Bibliographic record

VenueCross-cultural communication · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsModernism (music)LiteratureNarrativePortraitAppropriationLiterary criticismArtLiterary scienceAestheticsPhilosophyArt historyEpistemology

Abstract

fetched live from OpenAlex

This paper examines literary experimentation in James Joyce’s A Portrait of the Artist as a Young Man (1916) Virginia Woolf’s Mrs. Dalloway (1925). Modernism’s rejection of pre-modern tradition lies in literary experimentation. Before embarking on answering the question, I will introduce modern literary experimentation to derive the idea home. The core conceptual appropriation of modern literary experimentation with the novels’ narrative structure which had emphasized the genuine artistic quality which corresponds to modernism’s departing point from pre-modernism. This departure is the artist experimentation with the main narrative components of the novels. Therefore, modernism has offered a technical narrative analysis of this experimentation in literature, especially the novel. Artistic experimentation yields the necessity of exposing pre-modernism’s literary decline and its possible amendment. Modern fiction relies on literary imitation of previous literary works in an almost similar manner. Modern fictional authors did not compose innovative literary forms so that they could not produce any literary genuineness. Such literary imitation has culminated in literary decline which limits the artistic creativity of fiction. In modernism, the proper agent to confront literary decline is the creative experimentation with fictional techniques to avoid such literary decline.

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 score0.427
Threshold uncertainty score0.434

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 studies0.0000.001
Scholarly communication0.0000.002
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 head0.037
GPT teacher head0.307
Teacher spread0.270 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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