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Record W4409240777 · doi:10.1080/0966369x.2025.2484682

Migration, gender roles, and empowerment: an assessment of women left behind married to internal and international migrants in Ghana

2025· article· en· W4409240777 on OpenAlexafffund
Senanu Kwasi Kutor, Teresa Abada, Godwin Arku

Bibliographic record

VenueGender Place & Culture · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council
KeywordsEmpowermentInternal migrationLeft behindWomen's empowermentDemographic economicsPolitical scienceGender and developmentGender studiesEconomic growthSociologyPsychologySocial changeEconomicsDeveloping country

Abstract

fetched live from OpenAlex

Does husband migration entail a watershed change in gender roles and the empowerment of women left behind in Ghana? This study adopts a comparative approach to investigate this important issue among Ghanaian women left behind married to internal and international migrants. Using in-depth interviews and Connell’s social theory of gender and power, the findings revealed that prior to husbands’ migration, participants predominantly performed culturally expected roles as women, such as caregiving, nurturing, and homemaking. Following their husbands’ migration, however, gender roles performed by the participants varied along household structures, with the majority of women’ groups assumed traditional masculine and feminine household responsibilities. The assumption of masculine roles has implications for their motherhood. Regarding women’s empowerment, while majority of women experienced increased autonomy and spatial mobility, differences emerged regarding access to financial resources and achievements following their husbands’ migration. Specifically, compared to wives of internal and interregional migrants, their counterparts married to intercontinental migrants had better access to and control over financial resources and met their medium-term future goals. These gains in empowerment were made possible by adequate and larger financial remittances received, demonstrating the transformational power of intercontinental migration. This study suggests that there are multiple factors that lead to women’s empowerment, such that some are more likely than others to become empowered on specific dimensions, as demonstrated in this study.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.662

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 head0.018
GPT teacher head0.284
Teacher spread0.265 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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