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Record W2236696456 · doi:10.4000/eccs.453

Fathers and Other Clowns: Representations of Masculinity in Alice Munro’s Dance of the Happy Shades

2014· article· en· W2236696456 on OpenAlexaff
Anca-Raluca Radu

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsMasculinityFemininityDanceGender studiesHegemonic masculinitySociologyContext (archaeology)DepictionArtAestheticsLiteratureHistory

Abstract

fetched live from OpenAlex

This essay is an analysis of selected stories from Alice Munro’s first volume of fiction, Dance of the Happy Shades (1968) focusing on her representation of masculinity. It investigates the way in which the men in Munro’s stories participate in and relate to the discourse of “hegemonic masculinity” and how the stories outline moments of male crisis resulting from this. The essay pays heed to Munro’s careful location of her stories in a historical and geographical context, catering to masculinity studies’ insistence on the necessity of such contextualization. The present analysis understands itself as complementary to the already existing body of gender-based critical literature which focuses mainly on Munro’s rendition of women, suggesting that Munro understands gender as a process and a continual negotiation, and that she de-essentializes received definitions of masculinity and femininity. While concentrating on the depiction of the father figure in “Walker Brothers Cowboy” and “Boys and Girls” and on the parody of the “manly modern” in “The Office,” the analysis also includes references to the re-appearance of certain kinds of male characters in Munro’s later stories, suggesting that the various embodiments of masculinity in Dance can be seen as part of what Robert Thacker calls “Munro’s reoccurrences.”

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)0.002
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 score0.986
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.016
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.003
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 head0.029
GPT teacher head0.254
Teacher spread0.225 · 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
Published2014
Admission routes1
Has abstractyes

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Same venueÉtudes canadiennes / Canadian StudiesSame topicShort Stories in Global LiteratureFrench-language works237,207