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Sister Carrie in Consumer Society as Seen from Deception Within Non-verbal and Verbal Framework and the Fulfillment of Desires

2010· article· en· W1944387103 on OpenAlexvenueno aff
Jin Rong

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceTheme (computing)DeceptionSisterHumanitiesPsychologySociologyPower (physics)Social psychologyArtAestheticsAnthropology

Abstract

fetched live from OpenAlex

This essay attempts to analyze the theme of deception which is presented by two forms, one is silence, the other is lie, which are known as the deception within the non-verbal and verbal framework respectively. Widely employed in Sister Carrie, the theme of deception reveals the conflicts between feminine and masculine power through the utterances. In addition, the materialization in the relationship between man and woman especially Carrier and her two lovers is presented in the consumer society. And the protagonists in the novel are tragic products of the inability to communicate with each other and the victims of their desires and consumer society. Key words: Silence, lie, consumer society, desire Resume: Le present article tente d’analyser le theme de tromperie qui est presente sous deux formes dont l’une est le silence et l’autre est le mensonge, qui sont consideres comme la tromperie dans le cadre non-verbal et verbal. Amplement employe dans Sister Carrie, le theme de tromperie revele les conflits entre les puissances feminine et masculine a travers les paroles. De plus, la materialisation de la relation homme-femme, notamment entre Carrie et ses deux amants, est presentee dans la societe de consommation. Et les protagonistes du roman sont les produits tragiques de l’incommunication entre eux et les victimes de leurs desirs et de la societe de consommation. Mots-Cles: silence, mensonge, societe de consommation, desir

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.999

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 studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.276
Teacher spread0.253 · 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.

Study designQualitative
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
Published2010
Admission routes1
Has abstractyes

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