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Record W1855395620 · doi:10.1080/02722011.2015.1039339

“Evocative and Luminous Phrases”: Reading Alice Munro’s<i>Hateship, Friendship, Courtship, Loveship, Marriage</i>

2015· article· en· W1855395620 on OpenAlexaboutno aff
Robert Thacker

Bibliographic record

VenueThe American Review of Canadian Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsFriendshipCourtshipCharacter (mathematics)Reading (process)ArtSociologyLiteratureVisual artsHistoryLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This essay reads Munro’s 2001 story collection as embodiment of her artistic accomplishment. Beginning with a 1952 internal Canadian Broadcasting Corporation reader noting “evocative and luminous phrases” in two of Munro’s earliest stories, it argues that such phrases have informed Munro’s fiction throughout her career. In Hateship, these phrasings are key to “Family Furnishings,” “Hateship, Friendship, Courtship, Loveship, Marriage,” “Post and Beam,” “The Bear Came Over the Mountain,” and especially “Nettles.” There Munro structures her stories around “real facts in the making,” combining autobiographical facts and situations with her imaginative renderings of them. This collection reveals Munro at the height of her accomplished art.

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: none
Teacher disagreement score0.216
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0180.019
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.074
GPT teacher head0.311
Teacher spread0.238 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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