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Record W7065825895

Ethics and Affects in the Fiction of Alice Munro

2018· book· en· W7065825895 on OpenAlexaboutno aff

Bibliographic record

VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2018
Typebook
Languageen
FieldEngineering
TopicPower Transformer Diagnostics and Insulation
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)Affect (linguistics)Embodied cognitionNormativeSAINTIcon
DOInot available

Abstract

fetched live from OpenAlex

Ethics and Affects in the Fiction of Alice Munro explores the representation of embodied ethics and affects in Alice Munro’s writing. The collection illustrates how Munro’s short stories powerfully intersect with important theoretical trends in literary studies, including affect studies, ethical criticism, age studies, disability studies, animal studies, and posthumanism. These essays offer us an Alice Munro who is not the kindly Canadian icon reinforcing small-town verities who was celebrated and perpetuated in acts of national pedagogy with her Nobel Prize win; they ponder, instead, an edgier, messier Munro whose fictions of affective and ethical perplexities disturb rather than comfort. In Munro’s fiction, unruly embodiments and affects interfere with normative identity and humanist conventions of the human based on reason and rationality, destabilizing prevailing gender and sexual politics, ethical responsibilities, and affective economies. As these essays make clear, Munro’s fiction reminds us of the consequences of everyday affects and the extraordinary ordinariness of the ethical encounters we engage again and again.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.008
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.042
GPT teacher head0.252
Teacher spread0.210 · 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
Published2018
Admission routes1
Has abstractyes

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