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Record W4404445494 · doi:10.5430/wjel.v15n2p110

Discourse of the Marginalized: A Critical Analysis of Mulk Raj Anand's The Old Woman and The Cow

2024· article· en· W4404445494 on OpenAlexvenueno aff
J Jasmine Suja, M. R. Bindu, Anand Prakash, Thamarai Selvi

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPhilosophyTheology

Abstract

fetched live from OpenAlex

Women have had lower social status in Indian traditional culture. The primary objective of the study is to critically evaluate Mulk Raj Anand’s novel The Old Woman and The Cow from a feminist perspective. By adopting this approach, the research aims to illuminate the marginalized voices within the narrative and explore the novel's treatment of gender, power dynamics, and societal norms. The analysis of the novel is grounded in feminist criticism, focusing on the portrayal of female characters, their agency, and the challenges they confront in a patriarchal society. The methodology involves closely examining the text, paying careful attention to character development, narrative structure, and thematic elements. The study reveals how Anand’s novel provides a platform for marginalized voices, emphasizing the resilience and agency of women in the face of adversity. It underscores the role of literature in challenging societal norms and advocating for social change.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0260.039
Scholarly communication0.0150.007
Open science0.0020.008
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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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