Timing and Frequency of Antenatal Care Utilization in Slums: Assessing Determinants over time
Why this work is in the frame
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Bibliographic record
Abstract
Timely and adequate antenatal care (ANC) attendance is important in maternal health. This paper examined the factors associated with ANC utilization in Nairobi slums in 2000 and 2012. Data come from two cross sectional surveys in the slums in Nairobi city. We fitted multinomial and logistic regression models to assess respectively, factors associated with timing of the first ANC visit and the frequency of ANC visits. In both years, parity, mother’s ethnic group and educational attainment were significantly associated with timing of first ANC visit. Frequency of visits was significantly associated with mother’s educational attainment, parity, pregnancy wantedness and place of residence. We conclude that for optimal ANC utilization, there is need to improve women’s educational outcomes and address cultural barriers to utilization
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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