Documenting the Perspectives of Sub-Saharan African Policy Makers, Researchers, and Activists on the Reproductive Rights, Population Dynamics, and Environmental Sustainability Nexus
Bibliographic record
Abstract
While high fertility levels in sub-Saharan Africa pose multiple challenges for economic, social, and environmental prospects, the perspectives of actors from this region have not been well documented. We offer a selection of viewpoints from 42 countries in sub-Saharan Africa along four main dimensions: perceptions of the role of population growth for broader societal implications; the representation of sub-Saharan Africa in discussions of population growth; the integration of population dynamics and reproductive health and rights in environmental considerations and instruments; and the sensitive nature of the topic of population growth. A mixed-methods qualitative project was conducted, using an online survey of 402 participants followed by 18 in-depth interviews, to collect the views of policy makers, researchers, and activists in sub-Saharan Africa. We find overwhelming agreement that population growth has negative implications for environmental sustainability and other social welfare outcomes. We find broad support for the integration of population dynamics and reproductive health and rights dimensions at international environmental meetings and in environmental sustainability instruments. Participants also stressed the under-representation of sub-Saharan Africa in discussions of population dynamics and in international environmental governance. Overall, this paper contributes to a better understanding of sub-Saharan African perspectives and attitudes on the interconnectedness of reproductive health, population dynamics, and environmental sustainability.
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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 | 0.021 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".