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Barnard, Mary (1909–2001)

2018· book-chapter· en· W4230066429 on OpenAlexaboutno aff
Sarah Barnsley

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPound (networking)LiteratureMythologyPerformance artArtCounterpointStyle (visual arts)MemoirCreative writingMusicalArt historyHistoryAmerican poetryLegendWhite (mutation)Sociology

Abstract

fetched live from OpenAlex

Born in Vancouver, Washington, Mary Barnard was a writer best known for Sappho: A New Translation (1958) and her correspondence with Ezra Pound, which she initiated in 1933 after reading a range of modernist works in college. Impressed by the economy of her verse (which reminded Pound of H. D.’s Imagism) and her interest in Greek cadences, Pound supervised Barnard’s early exercises in Sapphics. After winning Poetry’s Levinson Prize in 1935, Barnard relocated to New York where she came under the influence of Marianne Moore and William Carlos Williams. Williams’ tutelage provided a counterpoint to Pound’s, initiating what Barnard called her ‘spare but musical’ style of poems in the American grain, resulting in Cool Country (1940) and A Few Poems (1952). She later translated this style into fiction, writing mysteries and fables, but also into the clarity and measured rhythms of her Sappho translation. Research on Sappho led to an essay volume, The Mythmakers (1966), which anticipated Lévi-Strauss’s work on myth, and Time and the White Tigress (1986), an essay-in-verse exploring time myths. These experiences and creative stages were retold in her memoir Assault on Mount Helicon (1984). Her archive joined the Yale Collection of American Literature at the Beinecke Library following her death in 2001.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5770.012

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 head0.047
GPT teacher head0.228
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

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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