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Record W3121257648

Status, caste, and the time allocation of women in rural India

2011· preprint· en· W3121257648 on OpenAlexafffund
Mukesh Eswaran, Bharat Ramaswami, Wilima Wadhwa

Bibliographic record

VenueRePEc: Research Papers in Economics · 2011
Typepreprint
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCasteAutonomyHierarchyPovertyWork (physics)Time allocationDeveloping countryDemographic economicsSurvey data collectionEconomicsEconomic growthSociologyDevelopment economicsSocioeconomicsGeographyPolitical scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

We argue that women may be disinclined to participate in market work in the rural areas of India because of family status concerns in a culture that stigmatizes market work by married women. We set out a theoretical framework that offers predictions regarding the effects of caste-based status concerns on the time allocation of women. We then use the all-India National Sample Survey data for the year 2004-05 and the Time Use Survey for six states of India for the year 1998-99 to empirically test these hypotheses. After controlling for a host of correlates, we find that the ratio of women's market work to men's declines as we move up the caste hierarchy. This ratio falls as family wealth rises and the decline is steeper for the higher castes. These findings lend support to our theory and to the view that, through its emphasis on family status, caste plays a pivotal role in undermining the autonomy of women. Our paper has implications for how culture impinges on the rate at which poverty in developing countries can be reduced.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.025
GPT teacher head0.304
Teacher spread0.279 · 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 designObservational
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

Citations1
Published2011
Admission routes2
Has abstractyes

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