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Record W1578747947

Tricks with "a Sad Ring": The Endings of Alice Munro’s "The Ottawa Valley"

2006· article· en· W1578747947 on OpenAlexaffvenueabout
Tracy Ware

Bibliographic record

VenueStudies in Canadian Literature · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsQueen's University
Fundersnot available
KeywordsParagraphMeaning (existential)Representation (politics)ConfusionArt historyHistoryArtSociologyPsychologyLawPsychoanalysisPhilosophyPolitical scienceEpistemologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

In 1981 interview with J.R. (Tim) Struthers, Alice Munro says that stories in Something I've Been Meaning to Tell You are nearly all holding-pattern stories, except for ... 'The Ottawa Valley,' and that was big turning-point story. Later she modifies that opinion (scratch that holding-patterns business), saying, truth is, one becomes very dissatisfied with everything. When Struthers notes the importance of such dissatisfaction, Munro agrees: It's in 'The Ottawa Valley,' I believe. The last paragraph in this book all about with art (28). That commentary raises several important questions. If the inadequacy of her representation of real lives matters, then how can she maintain (in the same interview) that those who dispute her accuracy demonstrate a total confusion about what fiction is (33)? And why does she say that the conclusion of Ottawa Valley deals with general dissatisfaction with art when it actually makes different point? The answers to these questions involve autobiographical connections: as Munro states in her Paris Review interview, material about my mother my central material in life (Art 237), and therefore the ending of Ottawa Valley does express dissatisfaction with art. For her, the writer must be free to use bits of what real, however presumptuous that sounds. Munro's commentaries tend to divert attention from the painfully vivid memories that give her work its force in favour of less volatile metafictional issues.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.972
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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 teacher head, 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

Citations1
Published2006
Admission routes3
Has abstractyes

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