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Record W1982266114 · doi:10.5539/ass.v10n3p232

Labor Migration and Gender Empowerment: A Case Study of Housemaids

2014· article· en· W1982266114 on OpenAlexaffvenue
Farkhanda Shamim, Najeeba Tazeen, Naveeda Qaseem

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEmpowermentCasteAgrarian societyNonprobability samplingDebtSocial securityIntervention (counseling)SociologyEconomic growthDemographic economicsSocioeconomicsBusinessPolitical scienceEconomicsGeographyPsychologyAgriculturePopulationDemographyFinance

Abstract

fetched live from OpenAlex

By applying purposive and convenience sampling techniques the researchers interrogate the reasons of housemaids' migration from their native villages in Northwest Pakistan and their perceived Status within the household. The study finds that due to low wages in their home town, debt bondage, social discrimination based on caste and lack of personal security in the agrarian society, the whole family migrated to cities to improve their living and worked as unskilled labor in urban areas. The study concludes that although women work harder than men once they migrate however, they don't have much control on financial and social decisions and their lives are not any better. Internal migration does help to improve the family's economic and social status but it is not an empowering intervention for the women migrants. Nonetheless, it provides them the possibilities to bring about change in life.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0220.006
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0030.003
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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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
Published2014
Admission routes2
Has abstractyes

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