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Record W4235319247 · doi:10.1017/ccol0521814413.007

Poetry

2004· book-chapter· en· W4235319247 on OpenAlexaffabout
David Staines

Bibliographic record

VenueCambridge University Press eBooks · 2004
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoetryAlienLiteratureArtHistoryArt historySociology

Abstract

fetched live from OpenAlex

A land without poetry In The Journals of Susanna Moodie (1970), Margaret Atwood (1939-) reimagines Susanna Moodie, the nineteenth-century poet and novelist, who enters the “large darkness” that is Canada and fashions her life as a reluctant pioneer. Atwood's Moodie finds herself “a word / in a foreign language,” an apt description of someone alien in her new environment and cut off irretrievably from her old environment of England. As she confronts her new home, she meets what she sees as an uncultured landscape awaiting transformation into a cultured world. For the real Mrs. Moodie, who arrived from England in 1832, Canada was first and foremost a land without poetry. It was not until more than thirty years later that Edward Hartley Dewart (1828–1903) would publish the first anthology of Canadian poetry, Selections from Canadian Poets (1864), designed to “rescue from oblivion some of the floating pieces of Canadian authorship worthy of preservation in a more permanent form.” Casting a wide net that included most of the recognized poets of the period, including Susanna Moodie, he proclaimed that poets should be national heroes, though they would probably go unrecognized in such a young country as Canada: “if a Milton or a Shakspere . . . was to arise among us, it is far from certain that his merit would be recognized.” Canadians, he asserted, must be aware of the vitality and the significance of the poetic mind.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0600.020

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 head0.020
GPT teacher head0.182
Teacher spread0.163 · 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

Citations1
Published2004
Admission routes2
Has abstractyes

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Same venueCambridge University Press eBooksSame topicShort Stories in Global LiteratureFrench-language works237,207