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Record W3108918388 · doi:10.4312/an.53.1-2.33-47

Margaret Atwood, World-Famous but Yet to Be Discovered by Many Slovene Readers

2020· article· en· W3108918388 on OpenAlexaboutno aff
Tomaž Onič, Michelle Gadpaille, Jason Blake, Tjaša Mohar

Bibliographic record

VenueActa Neophilologica · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteratureShadow (psychology)HistoryEvent (particle physics)ArtPsychoanalysis

Abstract

fetched live from OpenAlex

Margaret Atwood is the only Canadian author whose 80th birthday in 2019 was celebrated by the global academic community. This is not surprising, as she is the most famous Canadian writer, popular also outside literary circles. On this occasion, Slovene Canadianists organized a literary event at the Maribor University Library, which presented an outline of Atwood’s oeuvre and a selection of translated poems and excerpts of prose texts; some of these were translated especially for the event. Of Atwood’s rich and varied oeuvre, only eight novels, a few short fiction pieces and some thirty poems have been translated into Slovene. This article thus aims at presenting those aspects of Atwood’s work which are less know to Slovene readers. It is no secret that Atwood is often labelled a feminist writer, mostly on account of The Handmaid’s Tale and the TV series based on the novel. However, many Slovene readers may not know that she also writes poetry, short fiction, non-fiction and children’s literature, that she is a committed environmentalist, and that she discussed the problem of “Debt and the Shadow Side of Wealth” in a prestigious lecture series. There are not many authors who master as many genres as Atwood and who are so well-received by readers and critics alike. The latter is true of Atwood also in Slovenia, and we can only hope that Slovene publishers will make more of Atwood’s work available to Slovene readers. All the more so since Atwood has no plans to end her career: just before her 80th birthday she was on a tour in Europe promoting her latest novel, The Testaments, and she would have continued touring in 2020 were it not for the COVID pandemic.

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: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0090.006
Scholarly communication0.0100.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.004

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 head0.036
GPT teacher head0.245
Teacher spread0.209 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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