Variation in the link between parental divorce and children’s health disadvantage in low and high divorce settings
Bibliographic record
Abstract
Like in other world regions, children with divorced parents in sub-Saharan Africa experience significant heath disadvantages relative to their peers with married parents. Preliminary evidence suggests this disadvantage may not be uniform across the subcontinent’s diverse settings. Research from other world regions shows that the childhood health consequences of divorce vary across different contexts. Specifically, we hypothesize that the childhood disadvantages associated with divorce are more severe in regions of sub-Saharan Africa where divorce is rare, and less so where divorce is a more common family experience. Using Demographic and Health Survey data from 290 subnational regions within 31 sub-Saharan African countries, multilevel models document the previously shown link between having a divorced mother and child morbidity and mortality. The study results further demonstrate that the childhood health disadvantage is accentuated in subnational African regions where fewer women are divorced and muted in areas where more women are divorced. The findings demonstrate that the broader context can powerfully moderate childhood health inequalities traditionally thought of as operating at the family or individual level. • In Africa, parental divorce is tied to poor child health. • Across Africa, the prevalence of divorce varies tremendously. • The prevalence of divorce conditions the divorce-child health link. • The local context can condition family-based health inequalities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".