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Record W4385491459 · doi:10.3138/cras-2023-005

Ezra Pound and Spatial Poetics

2023· article· en· W4385491459 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Review of American Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPound (networking)PoeticsNarrativeLiteraturePhilosophyHistoryArtPoetryComputer science

Abstract

fetched live from OpenAlex

Ezra Pound was preoccupied with both time and space. But he developed a spatial poetics in order to transform experiences of time into intense moments of relationality and supra-historical awareness. His earlier discovery of a “method of Luminous Detail” was further confirmed by Ernest Fenollosa’s theory of the ideogram. What interested Pound was the superposition of historical and cultural meanings in the present, or, more precisely, in the textual present of the Cantos. It is not that Pound wanted to suppress time; superposition is for him simply the mode of being in the present, which is compounded into the same process of transmission, mediation, translation, and rewriting. Pound’s ideograms slow down the monolinear movement of narrative to allow more complex patterns of awareness and modes of interaction to emerge among the images, facts, and details of a given Cantos sequence.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.665
Threshold uncertainty score0.935

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.303
Teacher spread0.253 · 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