An intersectional analysis of maternal mortality in Sub-Saharan Africa: a human rights issue
Bibliographic record
Abstract
ub-Saharan Africa continues to possess the highest rates of maternal mortality across the globe. In recent years, it was estimated that almost half of all global maternal fatalities from pregnancy-related complications occurred in Sub-Saharan Africa. There has been a decline in the rates of maternal mortality in Sub-Saharan Africa since 1990. However, these rates are not uniformly distributed across the region and remain troublingly high relative to the global front Importantly, since the overwhelming majority of maternal deaths from pregnancy-related complications are a result of the inequitable and oppressive conditions plaguing that region, maternal mortality is a human rights issue. This article posits that maternal mortality in Sub-Saharan Africa is a violation of human rights through an analysis of the intersecting social determinants of gender, economics and education in the regional context. Maternal mortality must be framed and understood as a fundamental human rights issue in order to effectively ameliorate this systemic global health burden and promote human flourishing.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".