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Record W4320149006 · doi:10.54513/joell.2022.9408

MIRRORING SPACES OF WILDERNESS AND OBSESSION IN ALICE MUNRO’S “VANDALS”

2022· article· en· W4320149006 on OpenAlexaboutno aff
Pulak Avinashi, Preeti Bhatt

Bibliographic record

VenueJournal of English Language and Literature · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessPsychicPsychePsychoanalysisDreamPsychologyAestheticsArtSociologyLiterature

Abstract

fetched live from OpenAlex

Short stories by Alice Munro merge autobiographical themes with remarkable language and stirring imagery. This paper analyzes the impact of ‘wilderness’ and mirrors the complexities of the obsession with the human psyche in the lives of the characters of Alice Munro’s short story “Vandals”. She portrays the evil and the threat that prevails in the wild and its hazardous impact on the psychology of its characters where they face cognitive clinical manias. The objective of the present paper is to read “Vandals” with reference to Bertrand Westphal’s theory of ‘geocriticism’ as proposed in his book Real and Fictional Spaces (2007) to identify the psychic disorders that Ladner, Bea, and Liza possess in the story. The wilderness that is constantly set against civilization or the urban space, distorts perception and selfperception, which metaphorically is an intrusion into the mental space of an individual. The characters are driven by intrusive thoughts and dysfunctional beliefs which lead to the suppression of their thoughts and psychological obsession after encountering the wilderness of Canada. This essay analyses Alice Munro’s depiction of this Gothic setting through the Canadian environment and the character’s preoccupation with the wild. The significance of the wilderness as a place, both in its ‘physical’ and ‘abstract’ representations in Munro’s stories, has been attempted to be discussed.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.372

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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