MétaCan
Menu
Back to cohort
Record W1919042164 · doi:10.1017/cbo9780511973925.005

Generating modernism and New Criticism from antisemitism: Laura Riding and Robert Graves read T. S. Eliot's early poetry

2011· book-chapter· en· W1919042164 on OpenAlexaff
Donald J. Childs

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAntisemitismPoetryCriticismModernism (music)LiteratureIdeologyPhilosophyArtArt historyJudaismTheologyPoliticsLaw

Abstract

fetched live from OpenAlex

The relationship between modernism and antisemitism – both in terms of the attitudes of individual writers and in terms of the ideology of the aesthetic itself – has long been a question in modernist studies, a question increasingly discussed with reference to T. S. Eliot's early works. Contemporary debate about Eliot foregrounds the poem ‘Burbank with a Baedeker: Bleistein with a Cigar’. In a poem about the decline of Venice, what does it mean that ‘The rats are underneath the piles. / The jew is underneath the lot’? Christopher Ricks, Anthony Julius, Rachel Blau DuPlessis, Vincent Sherry and Ronald Schuchard, among others, have all asked similar questions of ‘Burbank’. Is there antisemitism in the poem? If so, is the poem as a whole antisemitic? Whose antisemitism is it – Eliot's, Burbank's, an abstract narrator's? Is it being promoted, is it being undermined, is it simply being inspected? That critics should answer such questions in very different ways is not surprising. What is surprising, however, is that they should all have virtually ignored the first critical discussion of this question by Laura Riding and Robert Graves in A Survey of Modernist Poetry (1927).

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.200
Teacher spread0.152 · 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 teacher head, not a consensus.

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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicPoetry Analysis and CriticismFrench-language works237,207