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Record W2049002093 · doi:10.5539/ells.v1n2p123

The Role of Symbol in Delivering the Theme of Reviving Power of Sex in Tennessee Williams’ Orpheus Descending

2011· article· en· W2049002093 on OpenAlexvenueno aff
Ahmadi Mosaabad Masoud, Ahmad Gholi

Bibliographic record

VenueEnglish Language and Literature Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsSymbol (formal)Theme (computing)RealmPower (physics)GuitarSociologyThe SymbolicAestheticsLiteratureHistoryLinguisticsArtPsychologyPhilosophyComputer sciencePsychoanalysisManagement

Abstract

fetched live from OpenAlex

Dating back to the second half of Stone Age, Symbol is the mother of art and culture. Being omnipresent, symbols are interwoven to the humans’ life, thereby becoming their inseparable aspect of living. In the realm of literature, they are categorized into two types: public and private. The symbolic import of public symbols is determined by a particular culture while that of private ones is determined by the writer himself/herself. Symbols play different roles in a literary work; one of them is delivering its theme(s). In American literature, Tennessee Williams is well-known for utilizing symbols widely in his plays. In fact, he expressed his world views through the language of symbols. Therefore, this article makes an endeavor to show how guitar as a private symbol pushes forward the theme of life-giving force of sex in Williams’s Orpheus Descending.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.014
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.258
Teacher spread0.235 · 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
Published2011
Admission routes1
Has abstractyes

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