Bibliographic record
Abstract
A Streetcar Named Desire is a famous play written by American playwright Tennessee Williams, for which he was awarded the Pulitzer Prize for Drama in 1984. He is highly praised and eulogized for its delicate construction, refined writing, vivid characters and provoking thoughts. It mainly deals with the conflicts between two symbolic characters, Blanche DuBois—a fading gentlewoman of the Old South--and Stanley Kowalski, an industrial, urban immigrant with unrefined characteristics. In particular, Blanche, as the representative of delicate and fragile southern female images, has been the focus of discussion. This paper analyzes this typical controversial heroine from the perspective of feminism in terms of social culture, economic factor and women’s psychology to find out the main factors for her destruction. Key words: desire, feminism, social culture, economic factor, women’s psychology Resume: Un Tramway Nomme Desir est une celebre piece ecrite par le dramaturge americain Tennessee Williams, pour lequel il a recu le Prix Pulitzer pour le Drame en 1984. Il est tres apprecie et louange pour sa construction delicate, son ecriture raffinee, ses personnages vivants et d’inspirer la reflexion. Il traite essentiellement les conflits entre les deux personnages symboliques, Blanche Dubois-une dame fanee de vieux Sud - et Stanley Kowalski, un immigrant urbain industriel avec la caracteristique non raffinee. En particulier, Blanche, comme le representant de l’image des femmes du sud delicat et fragile, etait le point focal de la discussion. Ce document analyse cette heroine typique controversee du point de vue du feminisme en termes de culture sociale, facteur economique et psychologie des femmes a connaitre les facteurs principaux de sa destruction. Mots-Cles: desir, feminisme, culture sociale, facteur economique, psychologie des femmes
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".