Divorce in sub‐Saharan Africa: Are Unions Becoming Less Stable?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Divorce is one of the main drivers of family instability in sub‐Saharan Africa. Using data from 101 Demographic and Health Surveys and novel estimation techniques, we 1) provide the first systematic estimates of divorce across 33 countries; 2) assess trends in divorce in 20 countries; and 3) investigate the key country‐level correlates of divorce both across and within countries. Despite considerable geographic variation, our estimates show that divorce is common in most countries. Contrary to expectations, however, we find no evidence that divorce is increasing. Instead, divorce has been either stable or declining in recent decades. We show that socioeconomic factors associated with industrialization have countervailing effects on divorce. Urbanization and female employment are associated with higher levels of divorce, while age at first marriage and female education correspond to lower rates. These findings have implications for current and future family dynamics in sub‐Saharan Africa.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it