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Record W4413984508 · doi:10.1080/1369183x.2025.2544091

Narratives on emigration of women from Nepal: is the state discourse keeping up with reality?

2025· article· en· W4413984508 on OpenAlexaff
Hari KC, Richa Shivakoti

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEmigrationNarrativeState (computer science)Gender studiesSociologyPolitical scienceDemographic economicsEconomicsLawArtLiteratureComputer science

Abstract

fetched live from OpenAlex

This article critically examines Nepal’s migration policy discourse, which frames women migrants as inherently ‘vulnerable,’ requiring state protection. Central to this paternalistic narrative is a protection-through-prohibition approach that bans women from migrating for domestic work. In contrast, the lived experiences of women engaged in transnational labour migration expose not their vulnerability but the geopolitical fragility and regulatory limitations of the Nepali state. By juxtaposing the state’s policy narrative with counter-narratives articulated by women migrants and civil society actors, the paper reveals how both invoke values of care, protection, and responsibility, yet with fundamentally different outcomes. While the state’s approach reinforces gendered precarity, women’s strategies to circumvent migration bans emerge as acts of resistance against patriarchal state control. The paper explores three central questions: What drives the Nepali state's persistence with an ineffective prohibition policy? How do women migrants and civil society contest its gender-discriminatory logic? And what transformative potential do these counter-narratives hold for more equitable policymaking? Drawing on qualitative data from interviews across Nepal and three Gulf countries—Kuwait, Qatar, and the UAE—alongside policy and media analysis, the paper engages with feminist policy narrative theory to highlight the stakes of redefining ‘protection’ in global labour migration governance.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.053
GPT teacher head0.407
Teacher spread0.353 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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