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Record W3170274091 · doi:10.4000/ces.4683

Corinne Bigot and Catherine Lanone, eds., “With a Roar from Underground.” Alice Munro’s Dance of the Happy Shades

2017· article· en· W3170274091 on OpenAlexaffabout
Claire Omhovère

Bibliographic record

VenueCommonwealth Essays and Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsDanceAlice (programming language)SyllabusArt historyArtVisual artsSociologyPedagogy

Abstract

fetched live from OpenAlex

Along with the incisive introduction that precedes them, the twelve essays gathered in this volume have reached the general public as the result of a conjunction of events. In 2014 and 2015, Alice Munro’s Dance of the Happy Shades (1968) was part of the syllabus of the French Agrégation, the highly competitive exam that selects aspiring English teachers at the national level. Its inclusion no doubt reflected the surge of worldwide interest in Munro’s writing after the Canadian writer was awar...

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0060.009
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.015

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 head0.052
GPT teacher head0.286
Teacher spread0.234 · 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
Published2017
Admission routes2
Has abstractyes

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Same venueCommonwealth Essays and StudiesSame topicShort Stories in Global LiteratureFrench-language works237,207