Bibliographic record
Abstract
As the rest of the developing world, Sub-Saharan Africa has experienced profound transformations in the institution of marriage. Yet, unlike most other regions, polygyny has remained widespread across the subcontinent. There is, however, evidence to suggest that the practice of polygyny is declining and that selection into polygynous unions based on sociodemographic characteristics is increasing assub-Saharan Africa undergoes rapid sociocultural, demographic, and economic change. Using data from 111 Demographic and Health Surveys conducted in 27 countries since the 1990s, we study recent trends in the prevalence of polygyny among currently married women, examine sociodemographic characteristics of women in polygynous unions, and test whether selection on these characteristics into polygynous unions has increased over time. We find that, net of other factors, the likelihood of being in a polygynous union has declined in most countries. We show that women who are less educated, non-Christian, and living in rural areas are more likely to be in a polygynous union and that in many countries, selection into polygynous unions on these characteristics has been growing. These findings contribute to the broader literature on marital and family change by providing new insights into recent trends in and patterns of polygyny across the subcontinent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".