Female Wage Employment and Fertility in Kenya
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
The paper examines the association between fertility and female wage employment in Kenya using nationally representative cross-sectional data collected by the Kenya’s National Bureau of Statistics, a government-owned statistical organization. Two findings emerge from our analysis. The first finding is that female wage employment is negatively correlated with the number of births. Incompatibility of childrearing with wage employment is one of the main explanations for this evidence. The other finding is a much larger magnitude of the negative association between wage employment and male births relative to female newborns, but the difference in the estimated gender-specific coefficients is statistically insignificant. However, there is need for further significance tests on the difference between the gendered coefficients because the larger drop in the number of male births relative to female, as female wage employment expands, has strong support in the biomedical literature. The relevance of the second finding in the context of the biomedical literature on the link between a child’s gender at birth and the environment in which the mother works and lives provides a justification for further research on this issue. The tentative findings of the paper point to labor market policies that could be explored in Kenya and elsewhere in Africa to address the problem of excess fertility, and thus enhance women’s health, agency, and socioeconomic empowerment.
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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 | 0.000 | 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