Exploring the Patriarchal Oppression and Predicament of Women: A Radical Feministic Analysis of Mitra Phukan's The Collector's Wife and Arupa Patangia Kalita's Felanee
Bibliographic record
Abstract
This Research paper aims to investigate the violence against women and the repercussions of political upheaval as reflected in Mitra Phukan’s The Collector's Wife and Arupa Patangia Kalita’s novel Felanee in the northeastern Indian literature. Women have long endured social injustices based on patriarchy and experience a range of socially imposed discrimination. Society regards women as mere by-products of sentimental domesticity, whereas males dominate and sphere head all the public domain as the rightful inheritors. Women are the worst affected by these geopolitical manoeuvres and are more physiologically affected. Not only do these acts of discrimination jeopardise public safety and tranquility, but they also have a profound impact on the lives of women. The literature of North-East India has several instances of this exploitation. This paper also highlights the radical feminist theory, Mitra Phukan and AP Kalita clearly explained the patriarchal system, which is based on gender roles and is characterized by prioritizing men's domination and interests over women's and reinforced by sexuality and motherhood while valuing female sexuality and fertility in Assam culture.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.021 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".