Anita Desai’s Fasting Feasting: A Picturesque Reflection of Male-Chauvinistic Indian Society
Bibliographic record
Abstract
An attentive perusal of Anita Desai’s Fasting Feasting shows that the novel is really a picturesque reflection of predicament, plight, pains and pangs done one the females in male-chauvinistic society of the then India. In other words, the novel reveals her struggle for female autonomy against the backdrop of the patriarchal cultural pattern prevailing in India. She has picturesquely shown how the women are deprived of what they deserve. Desai has used the characters of Uma and Anamika to delineate how women are bereft of human rights –social, political, familial, cultural, economic, academic etc. and used for sexual gratification and then discarded. How women are persecuted in the family as well as in the society by the husbands and father or mother-in-laws, ignored to be educated, bound to go for miscarriage or hysterectomy, not allowed to enjoy various tastes of life have also been depicted in the novel. That the ‘new woman’ is essentially a woman of awareness and consciousness of her low position in the family and society is discerned here. This paper, besides showing how the Indian women are indescribably and brutally persecuted in the family and society, sidelined and not allowed to be educated, suffer from father obsession and look for the typical father in her husband, also aims at describing how Anita Desai has struggled for the independence of women of her time.
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 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 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".