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Record W4409428612 · doi:10.48175/ijarsct-25236

Intersectionality in Alice Munro’s Stories: Class, Gender, and Rural Urban Divide

2025· article· en· W4409428612 on OpenAlexaboutno aff
Mrinal Srivastava, S.K. Rai

Bibliographic record

VenueInternational Journal of Advanced Research in Science Communication and Technology · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIntersectionalityAlice (programming language)Gender studiesSociologyClass (philosophy)HistoryComputer scienceArt history

Abstract

fetched live from OpenAlex

Alice Munro, the Nobel Prize-winning Canadian short story writer, is renowned for her nuanced portrayals of small-town life and the complexities of human relationships. Her stories often explore the intersections of class, gender, and the rural-urban divide, revealing how these overlapping identities shape the experiences of her characters. This paper examines Munro’s intersectional approach in selected stories, focusing on how socioeconomic status, gender expectations, and geographical setting influence power dynamics and personal agency. By analyzing works such as "Boys and Girls,""The Beggar Maid," and "Runaway,"this study demonstrates how Munro’s fiction critiques systemic inequalities while offering a deeply empathetic portrayal of marginalized voices

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)0.004
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 score0.114
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0280.019
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.054
GPT teacher head0.415
Teacher spread0.361 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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