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Record W2999834276 · doi:10.3968/11388

A study of Postcolonial Narrative in The Remains of the Day

2019· article· en· W2999834276 on OpenAlexvenueno aff
Anqi Wang, Yanbing Zeng

Bibliographic record

VenueStudies in literature and language · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeNarratologyIdentity (music)SubjectivityLiteratureHistorySubject (documents)VirtueFace (sociological concept)British literatureColonialismAestheticsArtSociologyPhilosophyEnglish literatureEpistemologySocial science

Abstract

fetched live from OpenAlex

The winner of the Nobel Prize for literature in 2017, Kazuo Ishiguro,is a famous contemporary Japanese-British novelist who, together with Salman Rushdie and V. S. Naipaul, is known as the “Three Giants of Immigrants” in British literature. His novel, The Remains of the Day , was published in 1988 and won Booker Prize in 1989. The Remains of the Day takes two World War and typical British manor as the background and uses the first person retrospective narration form to describe the postwar British butler Stevens in the face of the historical change, the master replacement and some other series of events. The protagonist Stevens has gone through a process of identity change in different background, which is also the process of re-rebuilding identity through various events. As one of Kazuo Ishiguro’s representative works, The Remains of the Day is successful in its unique narrative strategy. Based on narratology theory and Said’s post-colonial identity theory, this paper attempts to explore the subject of the protagonist’s identity behind the text by virtue of Stevens’ unreliable narration, so as to show the process of his subjectivity, identity loss and identity reconstruction.

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 score0.043
Threshold uncertainty score0.341

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 head0.016
GPT teacher head0.293
Teacher spread0.277 · 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
Published2019
Admission routes1
Has abstractyes

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