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Record W3095420954 · doi:10.23880/whsj-16000143

The Relevance of Feminist Issues: Race, Class, and Sexuality to Maternal Mortality in Ghana

2020· article· en· W3095420954 on OpenAlexafffund
Joseph Adu

Bibliographic record

VenueWomen s Health Science Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsWestern University
FundersMemorial University of Newfoundland
KeywordsGovernment (linguistics)AutonomyWifeContext (archaeology)Reproductive healthGender studiesEconomic JusticeDeveloping countryHuman rightsEconomic growthHuman sexualityPolitical scienceReproductive rightsSociologyPopulationGeographyDemographyLawEconomics

Abstract

fetched live from OpenAlex

Globally, women continue to struggle in their quest for gender equality and the right to full participation in society, especially the developing world. In Ghana, it appears the importance of women has largely been considered only in terms of their role as a wife, mother or homemaker rather than in a broad context, where women are considered social partners contributing towards the growth of the country. This has implications for women’s autonomy in decision-making in matters vital to reproductive health, including uptake of maternal and child health services. Women’s education is crucial in averting the existing social and religious norms to give more voice to women to commensurate their significance in modern society. The government of Ghana has also failed women because of its gender-biased policies. It is recommended that the government of Ghana and policymakers amend their policies to include those that enhance the rights of women and girls, and at the same time eradicate class differences from social justice and human rights perspective. The beneficial consequences will be economic growth and development and reduced rates of maternal and infant mortality in 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)0.000
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 score0.052
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.034
GPT teacher head0.379
Teacher spread0.345 · 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
Published2020
Admission routes2
Has abstractyes

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