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Record W2757258081 · doi:10.3968/9799

Applying Nietzsche’s Concept of “Self-Creation” to Tennessee Williams’s The Glass Menagerie : A Postmodern Study

2017· article· en· W2757258081 on OpenAlexvenueno aff
Pegah Qanbari

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismMenagerieAestheticsFantasyPower (physics)Transcendental numberCreativityPhilosophyPsychoanalysisAbsolute (philosophy)SociologyEpistemologyLiteraturePsychologyArtArt historySocial psychology

Abstract

fetched live from OpenAlex

The main tenet of Postmodernism is its insistence on the multipolarity of reality; postmodernists maintain that there is no definite, transcendental truth to be discovered and followed by individuals, instead there are plurality of truths made by people based on their needs and desires. According to Nietzsche existing realities, good and bad, are governmentʼs constructs and are created as tools to impose power on people and suppress peopleʼs creativity and potentiality. Nietzscheʼs solution in this chaotic world is “Self-Creation” which means individuals should live up to their own standards, not societyʼs. Williamsʼs characters are fragile and maladjusted wanderers who due to their inability to encounter facts and solve their problems take shelter in a cocoon of fantasy as a means of self-defense, to protect themselves instead of creating their own characters. The researcherʼs aim is to prove the cause of the protagonistʼs downfall was her traditional way of thinking, such as every woman needs a man to protect her, though in a postmodern world in which anything goes, everything is acceptable and as valid as the other things, there is no absolute truth.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.017
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.026
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.357
Teacher spread0.317 · 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
Published2017
Admission routes1
Has abstractyes

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