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Record W2504503877 · doi:10.1057/9781137000682_2

The Confiding First-Person Narrator

2011· book-chapter· en· W2504503877 on OpenAlexaboutno aff
Isla Duncan

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2011
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeFirst personFolioPerspective (graphical)Subject matterLiteratureDanceSubject (documents)ArtHistoryArt historyPsychologyPsychoanalysisVisual artsPedagogy

Abstract

fetched live from OpenAlex

T he first stories published by A lice M unro (as Alice Laidlaw) appeared in Folio , the magazine of the University of Western Ontario, in 1950 and 1951. They are written from an omniscient narrative perspective and their subject matter is not entirely within the writer’s experience. 1 The story “At The Other Place,” published in the Canadian Forum in September 1955, marks a significant change, for in it Munro draws upon her family’s circumstances, employing the first-person narration that, according to Robert Thacker “became characteristic” of her fiction. 2 Of the 15 stories in Munro’s prize-winning collection, Dance of the Happy Shades , twelve are written from a first-person narrative perspective. Most of these are what the writer, in the often-cited interview with J. R. (Tim) Struthers, describes as her “real material” stories, for example, “Walker Brothers Cowboy,” “Boys and Girls,” and “The Peace of Utrecht.” 3 These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0170.005

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 head0.032
GPT teacher head0.212
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; 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
Published2011
Admission routes1
Has abstractyes

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Same venuePalgrave Macmillan US eBooksSame topicShort Stories in Global LiteratureFrench-language works237,207