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Record W2584748889 · doi:10.1177/2333393617690288

Migration, Health, and Gender and Its Effects on Housing Security of Ghanaian Women

2017· article· en· W2584748889 on OpenAlexaff
Solina Richter, Helen Vallianatos, Patience Aniteye, Kwasi Ansu-Kyeremeh

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThematic analysisContext (archaeology)Work (physics)Economic growthAffordable housingEthnographySocioeconomicsRural housingBusinessGeographyPolitical scienceRural areaSociologyQualitative researchEconomicsEngineeringSocial science

Abstract

fetched live from OpenAlex

We explored how migration influences our understanding of health and housing security of women who have or have not migrated to find work in Ghana. This article focuses on housing security. We used a multisite ethnographic research design. The setting was two distinct contexts in Ghana: a rural village and an urban context. We interviewed 44 women. Thematic content analysis was conducted. The main themes that emerged were decisions influencing migration, housing security, and the relationship between housing and health. Women voiced concerns about health related to housing conditions - for example, its effect on upper respiratory infections. We conclude that improving housing and services to the urban poor can have a positive impact on their health. Available, affordable, suitable, and adequate housing has the potential to contribute to economic growth, create more jobs, and improve the well-being of migrant women and, subsequently, their families in Northern Ghana.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.247
GPT teacher head0.550
Teacher spread0.303 · 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.

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

Citations5
Published2017
Admission routes1
Has abstractyes

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