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Record W2361172838

Alice Munro and Canadian Literature:An Interview with Professor Robert Thacker

2015· article· en· W2361172838 on OpenAlexaboutno aff
Yiqun Zhou

Bibliographic record

VenueEnglish Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyBiographyNarrativeNationalismAlice (programming language)Canadian literatureAmerican literatureHistorySociologyArt historyMedia studiesPoliticsLiteratureArtLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In this interview,Prof. Robert Thacker,while discussing his much-acclaimed biography,Alice Munro: Writing Her Lives,provides a profound analysis on Munro's narrative techniques,her leitmotif of place and artistic aesthetics. Based on the discussion of Munro's writing,Prof. Thacker also answers questions about the Ontario tradition of Canadian literature,and its sense of history. He is especially wary of the ideological tendency that tries to pigeonhole Canadian literature into national literature framework. Talking about the relationship between Canadian literature and American literature,he dismisses the radical nationalist standpoint by emphasizing the fact that the two countries share a single North American physiographic region. He believes that the changes that have happened to the now better established Canadian literature have left us a much more vibrant field.

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)0.005
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.692

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0720.016
Scholarly communication0.0080.005
Open science0.0020.004
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0090.001

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 head0.052
GPT teacher head0.275
Teacher spread0.223 · 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
GenreOther

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

Citations2
Published2015
Admission routes1
Has abstractyes

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