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Record W7000097908

El beso como detalle narrativo en los relatos “Llegar a Japón” de Alice Munro y “El beso” de Anton P. Chejov

2024· article· en· W7000097908 on OpenAlexaboutno aff

Bibliographic record

Venuee-rph (University of Granada) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsKISS (TNC)NarrativeAlice (programming language)Relevance (law)Residence
DOInot available

Abstract

fetched live from OpenAlex

This analysis proposes a contrastive approach between two short stories, The Kiss by Anton Pavlovich Chekhov and To Reach Japan, written by Alice Munro. The word Chekhovian is remarked to refer to Chekhov’s short-story narrative and, according to such allusions, to establish a textual dialogue with Canadian writer Alice Munro. The analysisis based upon the relevance of the detail in both short-story narratives. The detail is an intensively brief element in the text that refers to daily life and determines the evolution of story characters. It is tied to daily-life events and both writers’ narrations imply the surge of an exceptional daily-life. In these stories by Munro and Chekhov, the detail is represented by a kiss. From the instant of the kiss onwards, its remembrance chronogically structures both texts. It conditions the characters’ identities and perceptions of others’ emotions. The detail of the kiss is to be narrated though it is an indicative of the lack of significant words. The kiss instants are located in places alien to daily residence so intimacies in movement are conformed in the characters of both stories. In consequence, the narrative detail is the criterion to analyze those arguments and to establish links between short-story narratives of Anton Chekhov and Alice Munro.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.202
Teacher spread0.195 · 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
Published2024
Admission routes1
Has abstractyes

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Same venuee-rph (University of Granada)Same topicShort Stories in Global LiteratureFrench-language works237,207