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Record W2996039891 · doi:10.3968/11322

T.S. Eliot’s ‘Sweeney Erect’ Revisited

2019· article· en· W2996039891 on OpenAlexvenueno aff
Mariwan Hasan, Bushra Hsen, Bushra Jalal

Bibliographic record

VenueStudies in literature and language · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryCarelessnessLiteratureMythologyThe ImaginaryReading (process)ChoseHuman sexualityConstruct (python library)PhilosophyAestheticsPsychoanalysisArtSociologyPsychologyGender studiesLaw

Abstract

fetched live from OpenAlex

The main goal in writing this paper is to illustrate and shed light on the four main themes of the poem; myth and misogyny, violence and sexuality, self-importance and carelessness, human desire and animality in the poem and how Eliot describes his own preview on modern man and the condition of life which is full incompleteness by presenting this poem. Reading the poem carefully will make that clear that Eliot chose those themes for some reasons; firstly because the modern society suffers from lack of communication and live in an imaginary life and most of them construct a relationship just to quench their whims, not to complete their lives. Eliot believed that modern man is selfish and careless about the main points of building sabbatical life for themselves and others. In his paper, modern man’s problem has been shown on the shape of duplicity, lack of relationship and the effect of poverty on women in society, these problems are depicted by Eliot in “Sweeney Erect”. Moreover, the paper focuses on Eliot’s portrayal of women in the poem and finally through these themes Eliot tells us “Sweeney Erect” is a mirror, in which the condition of modern society is reflected.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.622

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)0.0010.000

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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