Differences in School-readiness among Pre-school Children in Rural and Urban areas of Kisumu County, 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
This study compared primary school preparedness of urban and rural preschool children in Kisumu county, Kenya. Children were assessed on their level of learning and development in the following domains: pre-academic skills (pre-literacy and pre-mathematics, executive function, and socioemotional cognition. The sample consisted of 390 preschool children who had completed their curriculum and were transitioning to Grade One. Children were assessed using an adapted and validated form of the Measurement of Development and Early Learning (MODEL) global item set. We hypothesized that urban children would score higher on all domains of learning and development than rural children. Results showed that indeed urban children were more prepared for primary school than were rural children in all the domains of learning examined in this study. In order to achieve Sustainable Development Goal 4 on equitable quality education that ensures life-long learning for all, county and national government should invest in early childhood development and education (ECDE) in both rural and urban so that all boys and girls can be ready for primary education and improve future outcomes for all children.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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