Global age disparity in marriage provides support for the role of mate choice in the evolution of maternal mortality and menopause
Bibliographic record
Abstract
Abstract Mate choice, marriage, and menopause are life-altering events affecting women’s health. It has been hypothesized that mate choice through age disparity in marriage may have contributed to the evolution of menopause and the persistence of maternal mortality. Thus, the purpose of this study was to explore and document evidence for age disparity in marriage and evaluate its effects on maternal mortality. Data on couple’s age at marriage was collected from various sources and ethnic populations. The results showed that males were significantly older than females at first marriage in all populations analyzed. While age disparate relationships appeared universal, their effects on maternal mortality in present populations were modest (R2 = 0.43) and complex, with a multitude of factors affecting maternal mortality. However, it was observed that Burkina Faso, Guinea, and Nigeria all stood within the top 15 countries with the highest age disparities in marriage, maternal mortality, child marriage, and polygamy rates. The results from this study provided support for the mate choice theory of menopause and maternal mortality and suggested that past rates of child marriage and maternal mortality would have been higher and persistent, affecting women’s health.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".