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Record W6998517162

Alice Munro as the 2013 Nobel Laureate: Canadian Literature Has Finally Come of Age

2014· article· en· W6998517162 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsHonourInjusticeSkepticismTragedy (event)Inscribed figureIdentity (music)Reading (process)Alice (programming language)
DOInot available

Abstract

fetched live from OpenAlex

October 2013 marks the date of perhaps the most significant literary event for Canadians, whose literature and sense of identity have been dominated by the absence of strong foundations. With Alice Munro’s Nobel Prize, not only has Canadian Literature finally come of age, emerging as an important force in the world, but the author herself has received the greatest honour awarded to a writer: the honour of having her name inscribed in history for all eternity. What is more, the short story genre has also received the recognition it deserves, in spite of all scepticism voiced against this literary art form, and even women may feel that Munro’s Prize is also a bit theirs. With so many people and so many interests implicated in this award, the world’s reaction to such key accomplishments was expected to be free of polemical acrimony. However, agreement and consensus are, for the most part, difficult to reach, as there are always dissident voices complaining against the injustice of the committee’s decision. It is in light of the above that I believe it is important to analyse Munro’s entrance to the canon, in particular through a brief reading and discussion of some of her most recent works, because I believe that there is a classical Munrovian touch to her stories that makes her stand out as unique: Alice Munro’s fully fleshed-out characters are so well-crafted, with all their flaws and strengths, that, in a short span of pages, we see them move over from the literary to the real world (or is it the other way around?!).

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)0.003
metaresearch head score (Gemma)0.005
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: Commentary · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0470.011
Scholarly communication0.0160.004
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0230.003

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 head0.055
GPT teacher head0.338
Teacher spread0.283 · 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
GenreCommentary

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 venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicShort Stories in Global LiteratureFrench-language works237,207