MétaCan
Menu
Back to cohort
Record W7045663885

The barriers to motherhood for disabled women in Ghana, Nigeria and Kenya

2024· dissertation· en· W7045663885 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsPrivilege (computing)Face (sociological concept)Qualitative researchNarrativeDisabled peopleHealth careReproductive healthSocial model of disability
DOInot available

Abstract

fetched live from OpenAlex

While motherhood is a privilege for all women who desire it and make the decision to pursue the same, the narrative may be different for disabled women. Women with disabilities face diverse challenges in realizing their reproductive health rights and their desire to become mothers. The research explores the barriers to motherhood for disabled women in Ghana, Nigeria, and Kenya. The study specifically explores attitudes, superstition, culture, religion, gender roles, rate of disability among women in sub-Saharan Africa, womanhood expectations, sex education and violence, accessibility, gender discrimination and maternal health care. The social model of disability was used to understand better the barriers that disabled women face to becoming mothers. The research was carried out using a qualitative scoping review approach. An in-depth literature review on motherhood barriers among disabled women in Ghana, Nigeria, and Kenya was done. Over three months, the findings were analyzed and discussed. The findings indicated that women with disabilities faced challenges in accessing maternal healthcare facilities due to physical barriers, negative attitudes and stigma, socio-economic factors, discrimination and lack of comprehensive policies and social identities. The study suggested the urgent need for concerted efforts towards physical, social, economic, and policy-related factors to address the motherhood barriers faced by disabled women in Ghana, Nigeria, and Kenya.

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 score0.927
Threshold uncertainty score0.997

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 studies0.0010.000
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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicDisability Rights and RepresentationFrench-language works237,207