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Record W4377251019 · doi:10.1515/9780228010227

The Collected Poetry of Carol Shields

2021· book· en· W4377251019 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2021
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsShieldsPoetryArtArt historyLiteratureGeologyShieldPaleontology

Abstract

fetched live from OpenAlex

Carol Shields, best known for her fiction writing, received both the Pulitzer Prize and the Governor General’s Award for Fiction for her novel The Stone Diaries . But she also wrote hundreds of poems over the span of her career. The Collected Poetry of Carol Shields includes three previously published collections and over eighty unpublished poems, ranging from the early 1970s to Shields’s death in 2003. In a detailed introduction and commentary, Nora Foster Stovel contextualizes these poems against the background of Shields’s life and oeuvre and the traditions of twentieth-century poetry. She demonstrates how poetry influenced and informed Shields’s novels; many of the poems, which constitute miniature narratives, illuminate Shields’s fiction and serve as the testing ground for metaphors she later employed in her prose works. Stovel delineates Shields’s career-long interest in character and setting, gender and class, self and other, actuality and numinousness, as well as revealing her subversive feminism, which became explicit in Reta Winter’s angry (unsent) letters in Unless and in the stories of poet Mary Swann and Daisy Goodwill in Swann and The Stone Diaries . The first complete collection of her poetry, this volume is essential for all readers of Carol Shields. Stovel’s detailed annotations, based on research in the Carol Shields fonds at Library and Archives Canada, reveal the poems in all their depth and resonance, and the dignity and consequence they afford to ordinary people.

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)0.004
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 score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.006
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.004

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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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
Published2021
Admission routes1
Has abstractyes

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