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Record W4392512190 · doi:10.1080/01425692.2024.2324052

Girls’ education and the cultural capital of Pakistan’s urban middle class

2024· article· en· W4392512190 on OpenAlexaff
Norin Taj

Bibliographic record

VenueBritish Journal of Sociology of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsCultural capitalHabitusSociologySociocultural evolutionSocial capitalSocial reproductionSocial mobilityMiddle classSocial transformationCapital (architecture)Social classQualitative researchSociology of EducationGender studiesIndividual capitalEconomic growthEconomic capitalHuman capitalSocial scienceSocial changePolitical scienceEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

This qualitative study employs a Bourdieusian framework to explore how urban middle-class parents in Pakistan support their daughters’ education while transmitting cultural capital. Parents emphasize talim-o-tarbiyat, referring to education and nurturing. I argue that, owing to the availability of educational resources and the recognition of the cultural capital conferred by Western qualifications, middle-class, educated urban parents choose Western education as talim. Additionally, Tarbiyat motivates their aspirations for their daughter’s education with specific cognitive references, notably Ashraaf values. Through boundary work and concerted cultivation, they reproduce cultural capital, influencing career choices and networks. Nevertheless, educated working women, experiencing a transformation of their habitus, foster new cognitive and social structures for themselves and their daughters. The study identifies desirable cultural capital, suggesting future research on exploring the conversion strategies of educated women’s capital by considering diverse sociocultural factors that intersect with gender dynamics within both private and public spheres.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.323
Teacher spread0.307 · 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 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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