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Record W3182922235 · doi:10.24113/ijellh.v6i10.5103

Exile of Women in Anita Raw Badami’s Can You Hear the Nightbird Call?

2018· article· en· W3182922235 on OpenAlexaboutno aff
K. Sathishkumar, Vaijayanthi Saravanan

Bibliographic record

VenueSMART MOVES JOURNAL IJELLH · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsEmbarrassmentPoliticsPartition (number theory)RomanceMaliceHistoryOrder (exchange)Subject (documents)Gender studiesSociologyLiteratureArtLawPsychologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Anita Rau Badami is an Indo-Canadian writer who has written four exceptional novels. Her widely praised books are known for the honest portrayal of Indian families and solid disapproved of women. Woman exploitation is one of the disasters defying ladies everywhere throughout the world. This malice is additionally intensified in the event that they are put in precarious political social orders or occasions. Women being greatly defenceless are obvious objectives of any type of abuse, embarrassment, hardship and segregation. Segment writing investigates the sexual injury, sufferings and excruciating encounter of ladies amid and after the Partition. This from multiple points of view substantiates the way that imbalance of genders is neither a natural reality nor a perfect order yet a social develop. The paper deals with the exploitation of women and their horrible encounters through the viewpoint of a female in Anita Rau Badami’s in her novel Can You Hear the Nightbird Call? This novel focuses on the subject of the Partition of India and Pakistan.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0260.011
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.016
GPT teacher head0.215
Teacher spread0.200 · 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
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueSMART MOVES JOURNAL IJELLHSame topicSouth Asian Cinema and CultureFrench-language works237,207