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Record W2292876012 · doi:10.4000/erea.4711

Juliet’s Migrations in Alice Munro’s Runaway: Making and Losing Connections

2015· article· en· W2292876012 on OpenAlexaboutno aff
Christine Lorre-Johnston

Bibliographic record

VenueE-rea · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyInterpretation (philosophy)NarrativeMeaning (existential)FeelingMythologyReading (process)DyadAestheticsLiteratureArtHistoryPsychologyEpistemologyPhilosophyLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

This reading of Alice Munro’s Juliet trilogy, in Runaway (2004), proposes an analysis of the sequence of three stories as one that simultaneously establishes connections and undermines them. As a result, Juliet’s migrations, from one period of her life to another, from one part of Canada to another, from one story to the next, both lead to a build-up of experience that lends itself to interpretation, and to a questioning of the meaning to be attributed to that experience. This is achieved in various ways: through mythological interpretation (and counter-interpretation) of her life; through the choice of a trilogy, by contrast in particular with a dyad; through the very functioning of the trilogy as pictorial tryptich that allows the circulation and therefore the instability and liveliness of sensations; and through the changing meaning of words, that convey evolving emotions and ways of feeling. In these different ways, Munro once more reports acute feelings, while leaving the narrative open to interpretation.

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: Other · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.013
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.272
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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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