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Preface

2010· book-chapter· en· W873880356 on OpenAlexaboutno aff
Heidi Slettedahl Macpherson

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Margaret Atwood has been writing poetry, fiction and criticism for almost fifty years. Her influence on Canadian literature is phenomenal, and her influence on contemporary literature as a whole is immense. Her readings fill theatres and her books win a range of literary and social prizes. She has gone from being ‘world famous in Canada’ (to repeat Mordecai Richler's famous joke) to being world famous, full stop. Atwood used to find that the media tried to reinvent her in ways that she didn't recognize, and perhaps some of that reinvention continues. However, Atwood notes: Once you hit the granny age, people think that you may be okay and that you're handing out cookies to younger writers and waving your benevolent fairy godmother wand over the proceedings, but you're no longer the sort of threat that you were because people kind of know what you are by now. They're not expecting some awful threatening surprise to appear. Yet Atwood continues to have the power to surprise – from embracing new genres, to developing expertise in the extra-textual side of contemporary publishing, to returning to the poetry that first made her famous. Each Atwood text is a treat, whether it spans only a few lines, or offers up an intricate puzzle in the form of a multilayered novel. Spanning different genres, as well as crossing over them, Atwood's work appeals to academics and non-academics alike, and this introduction will give you the opportunity to explore not only her own life and work but also the contexts for it and reception of it.

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)0.005
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: Editorial · Consensus signal: none
Teacher disagreement score0.432
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.4320.244

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 head0.019
GPT teacher head0.181
Teacher spread0.162 · 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
GenreEditorial

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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