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Record W2053736917 · doi:10.7771/1481-4374.1879

Eliot's The Waste Land and Surging Nationalisms

2011· article· en· W2053736917 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSensibilityDichotomyPoetryContext (archaeology)Fragmentation (computing)HistorySociologyLiteratureArtPhilosophyArchaeologyEpistemologyComputer science

Abstract

fetched live from OpenAlex

In her article "Eliot's The Waste Land and Surging Nationalisms" Pouneh Saeedi analyzes T.S. Eliot's poem in the context of the impact of World War I and the emergence of nationalisms. In the midst of the ruins of both his personal life and Europe, Eliot expresses the loss of a universal understanding delineated in the fragmentation of language and a disassociation of sensibility. In The Waste Land, the West and the East — represented in their respective canonical texts — commingle and cohere to present an image of oneness that goes beyond oppositional binaries and leads the egotistical self to look beyond antagonistic dichotomies and ultimately embrace a peace beyond national and linguistic boundaries.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score0.759

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.244
Teacher spread0.179 · 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