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Record W2110746732 · doi:10.5539/ells.v2n2p56

A Reflection of Ian McEwan’s Life in His Fiction

2012· article· en· W2110746732 on OpenAlexvenueno aff
Mina Abbasiyannejad, Rosli Talif, Marjan Heidari

Bibliographic record

VenueEnglish Language and Literature Studies · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsMaturity (psychological)Reflection (computer programming)Class (philosophy)SociologyPsychoanalysisPsychologyHistoryAestheticsDevelopmental psychologyArtPhilosophyEpistemologyComputer science

Abstract

fetched live from OpenAlex

This article aims to show why Ian McEwan is so obsessed with relationships, as well as with other socio-cultural issues such as class difference, sense of loss, music, role of parents, and with certain mental illnesses, in his fiction. McEwan also makes very pronounced use of the aforementioned issues in different ways and colours his fiction with them, one way or another. Examining McEwan’s life reveals that he experienced quite troubled circumstances and, as he himself admits, his writing can never escape from his background, so this is mirrored in his work. His obsession with language is also clear in much of his work. This article investigates McEwan’s life with the help of several interviews and articles written by him about his life, particularly relating to his childhood and family background. This article examines various aspects of his life, from childhood to maturity, and shows the reflection of Ian McEwan’s life in his work.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.021
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations5
Published2012
Admission routes1
Has abstractyes

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