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Record W1623073832

Playing the Parts: The ‘corps morcelé’ in Alice Munro’s Lives of Girls and Women

2007· article· en· W1623073832 on OpenAlexaffvenue
Andrew Lesk

Bibliographic record

VenueStudies in Canadian Literature · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSubversionAlice (programming language)PatriarchyGender studiesTextualityIdentity (music)Reading (process)Power (physics)SociologyBody politicAestheticsArtLiteraturePoliticsArt historyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Some feminist readings of Alice Munro’s Lives of Girls and Women have underestimated the formative influence of various uncle figures on protagonist Del Jordan’s growth as both individual and author. Marjorie Garson’s reading of the construction and subversion of various textual “wholes” (including the body as text) in the novel is useful but does not go far enough in explicating how Del reads various male figures as partial texts through which she can come to understand the body politic and abstract concepts such as death, wisdom and the power of textuality itself. Male figures contribute to Del’s active construction of an identity of unemasculated freedom, the attributes of which she selects from various people in her life, irrespective of gender. Through this unorthodox selectivity, Del escapes and subverts the binaries enforced by patriarchy.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.568

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0350.027
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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 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

Citations1
Published2007
Admission routes2
Has abstractyes

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