Une méta-synthèse sur le genre, le handicap et la santé reproductive en Afrique subsaharienne
Bibliographic record
Abstract
INTRODUCTION: Reproductive health remains a major global health issue. People with disabilities face additional discrimination and barriers to access which need to be better understood. To contribute to future interventions, we examined the intersections between gender and disability related to reproductive health in sub-Saharan Africa in the qualitative literature. METHODS: We conducted a meta-synthesis, using a taxonomic analysis. An inductive and iterative approach was adopted to allow exploration of new and emergent semantic variations in themes. NVivo 11 Plus was used to code themes. RESULTS: Ten qualitative studies from six sub-Saharan African countries were analysed. Two main thematic areas emerged from the analysis: 1) gendered roles of people with disabilities are programmed by sociocultural normativity, including perceptions about sexuality. They are exacerbated by the hegemony of ableism and influenced by the type of reproductive health issues experienced by people with disabilities; and 2) experiences of disability in interaction with a reproductive health issue are exacerbated by the type of disability, influenced by the type of barriers to access, and perceived differently depending upon the actors involved. DISCUSSION: The intersections between gender and disability embodied by people with disabilities are multiple and complex. Not only do imposed gendered roles influence the lives of people with disabilities, but their experiences of disability are also intricately linked to gender. An intersectional analysis is proposed as a useful support to developing future perspectives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.019 | 0.021 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".