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Record W4205591002 · doi:10.5539/ells.v12n1p49

The Grotesque World in The Heart is a Lonely Hunter

2022· article· en· W4205591002 on OpenAlexvenueno aff
Huimin Liu

Bibliographic record

VenueEnglish Language and Literature Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationLonelinessInterpretation (philosophy)AestheticsRealismSociologyIsolation (microbiology)PsychoanalysisPsychologySocial psychologyEpistemologyPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

This article is going to explore the reasons leading the figures grotesque and the way out of such world, with the help of Bakhtin’s theory of grotesque realism, via linking the duality of physical part with the grotesque to analyze the three main characters’ physical characteristics, social relationships and mental world. Singer, Mick and Biff are the distinct characters in Carson McCullers’s novel The Heart is a Lonely Hunter. Their lives are shot through with frustration and discouragement and the intense privacy of their inner lives gives the reader the impression that they are isolated, lonely beings. They try to build connections with others but eventually they fail. The following are the reasons: Firstly, they cannot identify themselves with the majority due to their physical problems, which further lead to their mental crisis. Secondly, they are alienated from the majority in society while they communicate with the ones who cannot end their isolation, which enforces their alienation. Finally, loneliness grips them so powerfully that they cannot come out of their grotesque dreaming world centering on the truth or idea or purpose they have created for themselves. Therefore the way out is to experience the social reality, to express ideas, share care and love with others. Through the interpretation of this novel, the point of this article is to explain the reasons and the ways out of alienation, the keyword in the grotesque world.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.015
GPT teacher head0.244
Teacher spread0.230 · 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.

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
Published2022
Admission routes1
Has abstractyes

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