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Record W3006233333 · doi:10.35869/afial.v0i28.1440

Un idilio más allá de la obsesión: el duelo tras la pérdida del amor en 'Bardon Bus', de Alice Munro

2019· article· es· W3006233333 on OpenAlexaboutno aff
Máximo Aláez Corral

Bibliographic record

VenueBabel A.F.I.A.L.: Aspectos de filología inglesa y alemana · 2019
Typearticle
Languagees
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsRomancePsycheFemininityOrder (exchange)Character (mathematics)ArtHumanitiesPsychoanalysisSociologyArt historyGender studiesLiteraturePsychology

Abstract

fetched live from OpenAlex

In her short-story “Bardon Bus,” from her 1982 collection The Moons of Jupiter, Canadian writer Alice Munro dissects the memories of a middle-aged woman living in Toronto about a love affair she had had a few months earlier, while on a research trip to Australia, with an anthropologist whom she just names “X.” Through a constant time-leap from the Australian past to the Canadian present and back, Munro describes the strategies that the unnamed main character develops in order to deal with the sense of loss after the end of the affair. In this essay the influence and effects of love on female and male individuals, as exemplified in Munro’s story, will be analysed under the light of emotion and romantic love, and in relation to the masquerade of femininity, within the framework of Sara Ahmed’s theories and other feminist theoretical trends. The connection and/or the clash between the emotionally charged past and the loveless present is revealed to grow and strengthen its influence on the narrator’s psyche under the mask of romantic love, a stereotype that takes its roots from conventional and sexist assumptions about love and its absence.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.014
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.239
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBabel A.F.I.A.L.: Aspectos de filología inglesa y alemanaSame topicShort Stories in Global LiteratureFrench-language works237,207