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Record W1893498684

Consumer Culture in Theodore Dreiser's Sister Carrie

2012· article· en· W1893498684 on OpenAlexvenueno aff
Helen Ouliaei Nia, Fatemeh Torki Baghbaderani

Bibliographic record

VenueStudies in literature and language · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Studies and Postmodernism
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationConsumerismSisterSociologyAestheticsGirlLiteratureArtLawPsychologyAnthropologyPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Heodore Dreiser, the American novelist (1871-1945), was a keen witness of the huge industrial changes in America. Dreiser minutely portrayed the lives of the poor in society because he had experienced poverty both as a child and an adult and he could also depict the lives of the rich as he was a journalist who was in everyday contact with the facts of such people’s life. In one of his novels, Sister Carrie , Dreiser, impersonally, represents the struggles of a poor girl who finds her way up the social scale. Carrie, the protagonist of the story, lives in an industrial and commodified society in which people find their identity in items of consumption. In this article, the researchers attempt to examine the dexterity of Dreiser in portraying the inner and outer lives of characters in such a society and in the light of Baudrillard’s theory of consumerism and the way this portrait approximates real life. Key words : Sister Carrie ; Dreiser; Commodified Society; Baudrillard; Consumerism

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)0.004
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.011
Scholarly communication0.0060.004
Open science0.0000.004
Research integrity0.0020.004
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 head0.383
Teacher spread0.343 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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