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Record W2199395471

Some Regimented Evening: The Relationship between Commentary and Representation in "The Dead" and "The Love Song of J. Alfred Prufrock"

2015· article· en· W2199395471 on OpenAlexaff
Helen Pinsent

Bibliographic record

VenueVerso: An Undergraduate Journal of Literary Criticism · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWorryPsychoanalysisWrightRepetition (rhetorical device)LiteratureAestheticsPhilosophySociologyHistoryArtPsychologyArt historyLinguisticsAnxiety
DOInot available

Abstract

fetched live from OpenAlex

As a verb, “worry” has roots in Old English and refers to one person trying to hurt another (choking, harassing, irritating). In the nineteenth century, according to the OED , it changed:  it become a noun that referred to an anxious state of mind, a sense of dread tied to interior fretting rather than external threat. Eliot’s Prufrock and Joyce’s Gabriel are, as Helen Pinsent shows, defined by this distinctly modern and modernist worry. Moreover, it cannot be escaped through fantasy even as worry isolates these two protagonists from their social worlds by drawing them inward into repetition, reflection, and regret.  Trapped in what Francis O’Gorman has dubbed “worry’s familiar grooves,” the iteration of the underwhelming overwhelms them, on terms that, as Pinsent argues, are both distinctly modernist and distinguishable from each other. —Julia Wright

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)0.002
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.012
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.086
GPT teacher head0.303
Teacher spread0.217 · 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
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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