The effects of mothers’ education on the nutritional outcomes of their children in Nicaragua
Bibliographic record
Abstract
Using data from the 2001 Nicaragua Demographic and Health Survey, this paper examines the relationship of a child’s nutritional health outcomes relative to the completion of secondary education of their mother by measuring her child’s height-for-age and weight-for-height. This study focuses on Nicaragua in particular, in contrast to other literature surveying Latin America as a whole. The persistence of malnutrition amongst the population makes Nicaragua a candidate for research in this area, especially in face of educational reforms in the country approximately 10 years prior. In this study the control variables include paternal education, geographic location, socioeconomic status, birth order, and household size; combined to help attenuate the effects of maternal education. The analysis is subdivided to examine the relation of mothers’ education to health outcomes for children of each gender. It was found that maternal secondary education is significant for all scenarios with the exception of gender-separated weight-for-height, and that there is a stronger correlation between health outcomes for girls than for boys when examining maternal education.
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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 | 0.005 |
| 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 | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".