MétaCan
Menu
Back to cohort
Record W3096736552 · doi:10.5539/ells.v10n4p1

Viewing of Women as Culture and Domain in “Perchavan” by Qaisra Shahraz

2020· article· en· W3096736552 on OpenAlexvenueno aff
Shaista Andleeb, Muhammad Asif Khan

Bibliographic record

VenueEnglish Language and Literature Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsEmblemGender studiesSociologyFeminismIdeologyScope (computer science)Political scienceArtPoliticsComputer scienceLawLiterature

Abstract

fetched live from OpenAlex

Postcolonial Feminism serves as a critical thought to reset the idiom of suppression by identifying the cultural codes which involve women as the ‘Other’ in the Third World countries. This paper is an effort to point out the process of gender fixation in Pakistan which determines the cultural roles for women. This paper tries to define that the system of positioning of women in Pakistan, establishes the term women, as culture and domain. The paper tries to investigate the ideological problem in Pakistan for structuring the women’s identity in their sexual cum biological caricatures in groups instead of their talents. The paper tries to explore that Qaisra Shahraz in “Perchavan” is trying to identify that the term ‘women’, initiates a debate on women not as the emblem of culture, yet women appear to be the culture themselves against all the ethnographic standards of gender remapping in any definition of culture. This study, about the Pakistani women, is an effort to show that Shahraz in “Perchavan” tries to expose, that women are treated as the culture in Pakistan. However, the women in the process of regional nomenclature become portable objects and ultimately they become the domain of society.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.298
Teacher spread0.286 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language and Literature StudiesSame topicPolitics and Conflicts in Afghanistan, Pakistan, and Middle EastFrench-language works237,207