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FROM A FLOWER GIRL TO A LADY: THE CHANGE OF DISCOURSE AND POWER/ DUNE JEUNE FILLE A UNE DAME: CHANGEMENT DE DISCOURS ET POUVOIR

2010· article· fr· W1911300053 on OpenAlexvenueno aff
Yan Zhang

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languagefr
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesConversationPower (physics)CriticismGirlDramaRelation (database)SociologyPhilosophyLiteratureEthnologyArtLinguisticsPsychology

Abstract

fetched live from OpenAlex

The theory of discourse and power, which was put forward by the French philosophy Michel Foucault, is more and more frequently employed in literary criticism. As one kind of discourse, conversation plays an essential role in understanding drama, Pygmalion is no exception. Applying the method of stylistic analysis, this paper aims at analyzing the change of power relationships through examining the discourses in Act I and Act V of Pygmalion, and then presents how Eliza changes from a flower girl to a lady through discourse. Key words: discourse, power, relation, Pygmalion, change Resume: La theorie de discours et pouvoir, elaboree par le philosophe francais Michel Foucault, est de plus en plus employee dans la critique litteraire. Comme une sorte de discours, la conversation joue un role essentiel dans la comprehension du drame, Pygmalion ne fait pas exception. Appliquant la methode d’analyse stylistique, le present article vise a etudier le changement de la relation de pouvoir a travers l’examination des discours dans l’Acte I and l’Acte V de Pygmalion, et montre comment Eliza, d’une jeune fille, devient une dame a travers le discours. Mots-Cles: discours, pouvoir, relation, Pygmalion, changement

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)0.003
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 score0.011
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.021
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.004
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 head0.026
GPT teacher head0.290
Teacher spread0.264 · 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
Published2010
Admission routes1
Has abstractyes

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