The Shifting Identity of Gabrielle as A Suburban Woman in Marc Cherry’s “Desperate Housewives”: A Drama Series
Bibliographic record
Abstract
Desperate Housewives (2004) is one of the drama series which presents the fractured lives of four upper middle class suburban women in Wisteria Lane and the problems, how they are facing the secrets, crimes, and mysteries hidden behind the doors of their-at the surface-beautiful suburban neighborhoods. There are four major characters in this drama series, Susan Mayer, Lynette Scavo, Bree Van De Kamp, and Gabrielle Solis. They have their own problems and solutions to share between them. The story tells about their life during their quarter life about their struggle in career, couple seeking, marital life, performances, etc. \nThe main purpose of this study is to provide profound analysis on the identity of Gabrielle as a suburban woman portrayed in Desperate Housewives. The identity can be seen upon several environmental aspects. Then, the identity is analyzed further to see the shifting identity that happens toward Gabrielle’s life, such as marital life, economic life and sexual relationship. The major finding of the analysis on the identity and the shifting identity of Gabrielle as a suburban woman is material obsession as her point of view to reach happy housewife life. It is obviously seen when Gabrielle accepts Carlos’s proposal. The shifting that happens toward Gabrielle is seen when she just realizes that love is the important thing than material obsession.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".