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Record W4322623488 · doi:10.3167/cs.2023.350105

Constructing Childhood through Remembrance in Selected Short Stories by Alice Munro

2023· article· en· W4322623488 on OpenAlexaboutno aff
Zeinab Abdulmuttalib

Bibliographic record

VenueCritical Survey · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)NarratologyTheme (computing)Representation (politics)Childhood memorySociologyPsychoanalysisHistoryPsychologyNarrativeGender studiesLiteratureArtArt historyPoliticsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This article attempts to study a selection of short stories by the contemporary Canadian writer Alice Munro (1931–) focusing on the theme of childhood. It examines the representation of childhood as remembered by adult narrators. The research approaches the stories through the theories of narratology and psychoanalysis. The concepts of the narrator in addition to Freud's theorisation about childhood memories are especially utilised to explore the childhood memories of the adult narrators. The stories selected for this study are ‘The Ottawa Valley’ (1974), ‘Chaddeleys and Flemings’ (1979), ‘The Progress of Love’ (1985) and ‘The Eye’ (2012) with adult narrators.

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)0.007
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 score0.433
Threshold uncertainty score0.860

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0150.012
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.043
GPT teacher head0.304
Teacher spread0.261 · 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
Published2023
Admission routes1
Has abstractyes

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