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Record W2559326317 · doi:10.5539/ells.v6n4p89

The Narrative Techniques in The Portrait of a Lady

2016· article· en· W2559326317 on OpenAlexvenueno aff
Zhao Yú

Bibliographic record

VenueEnglish Language and Literature Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitNarrativeTheme (computing)FeelingConsciousnessLiteratureAestheticsIsolation (microbiology)HistoryPsychoanalysisArtPhilosophyArt historyEpistemologyPsychologyComputer science

Abstract

fetched live from OpenAlex

The paper aims to analyze the narrative techniques in Henry James’ masterpiece The Portrait of a Lady. James is both a novelist and a literary critic. The narrative techniques that James puts forward are mixed well like milk and water with the theme of The Portrait of a Lady. James regards human heart as a closed book and is very interested in the obscurity in human relations. Isabel is eager to learn about the world, yet she is always haunted with the feeling of helplessness due to the isolation and estrangement with others. James’ three narrative techniques, i.e., the “central consciousness”; the “limited point of view” and the “organic form” are employed to effectively represent the theme in this novel.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.010
GPT teacher head0.255
Teacher spread0.246 · 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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