FROM A FLOWER GIRL TO A LADY: THE CHANGE OF DISCOURSE AND POWER/ DUNE JEUNE FILLE A UNE DAME: CHANGEMENT DE DISCOURS ET POUVOIR
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".