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Alice Munro’s <i>The View from Castle Rock</i> (2007): An Example of “Historiographic Metafiction”

2021· book-chapter· en· W4248845872 on OpenAlexaboutno aff
Milena Kaličanin

Bibliographic record

VenueUniverzitet u Beogradu, Filološki fakultet, Srpska asocijacija za kanadske studije eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)MetafictionArtArt historyHistoryLiteraturePostmodernism

Abstract

fetched live from OpenAlex

the term "historiographic metafiction" in Historiographic Metafiction: Parody and the Intertextuality of History (1989) to denote one of the key features of postmodernist literature, the omnipresent interconnection between history and fiction.The literary works of "historiographic metafiction" prove that historical events are transformed into facts by relying on the interpretation of documents that are merely representations of the past and subject to the attitudes of the person that recorded them.Thus the idea of history as an objective science is completely demystified.In the paper, Hutcheon's insights are applied to Munro's The View from Castle Rock (2007) that depicts the immigrant experience of the author's ancestors from 18 th century Scotland to Canada.Though based on the outline of a true narrative, Munro herself claims that the initial idea of writing her family history has expanded into fiction thus validly exemplifying Hutcheon's concept of "historiographic metafiction".Munro's narrative technique combines the realist method of portraying historically accurate facts, events and persons and postmodernist method of deconstructing historical figures and events by fictionalizing them.Other characteristics of postmodern historical fiction present in The View from Castle Rock (parody, irony, didactic rhetoric, linear narrative, etc.) are further explored in the paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.040
GPT teacher head0.219
Teacher spread0.180 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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