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The Influences of Cultural Context on the Psychological Development of Child in Alice Munro’s Early Short Stories

2024· article· en· W4390838618 on OpenAlexaboutno aff
Abdel Kareem Shehata

Bibliographic record

VenueEgyptian Journal of Linguistics and Translation · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)Context (archaeology)PsychologyDevelopmental psychologyPsychoanalysisArtHistoryArt historyArchaeology

Abstract

fetched live from OpenAlex

Alice Munro is a Canadian short story writer and a novelist who was born in 1931. She won the Nobel prize for Literature in 2013. She published her first and important short story collection, Dance of the Happy Shades in 1968. It included fifteen short stories, three of these stories, “Walker Brother Cowboy”, “Images”, and “Boy and Girls”, the first, the third and the ninth, in order, though do not follow each other in the book, they are greatly connected in many ways. The most important of these connections is the child girl main character and narrator. She suffers many aspects of the cultural context, such as parents’ detachment, ways of living, values, customs and gender ideas. How does cultural context influence the psychological development of the child is the question of this paper. The main aim of the paper is to show how the cultural context affects the girl until, at the end of the last story, she regains herself and finds her own identity. The cultural and psychological theories are used in the paper to achieve its main aim.

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)0.001
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.052
GPT teacher head0.310
Teacher spread0.258 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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