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Record W4392004709 · doi:10.5430/wjel.v14n2p527

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

2024· article· en· W4392004709 on OpenAlexvenueno aff
T.S. Dhileep, Anu Baisel

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsWifeOppressionGender studiesSociologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.302
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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