Moderating Role of Health Services and Personnel on the Relationship between Education, Income, and Crude Birth Rate in Bogor Regency, Indonesia
Bibliographic record
Abstract
This study examined the factors that influence the crude birth rate (CBR) in Bogor Regency, Indonesia. The study objectives were to (1) determine the relationship between education and CBR, (2) determine the relationship between income and CBR, and (3) determine the moderating effect of healthcare services and personnel on the relationship between education and CBR. A cross-sectional survey was conducted with a sample of 259 respondents. The data were collected using a structured questionnaire. The data were analyzed using descriptive statistics, regression analysis, and moderating effect analysis. The results show that education and income have a significant impact on CBR. However, income has a non-linear relationship. Higher income can lower the CBR in the Bogor district. Health services can moderate the relationship between education and CBR. The findings of this study suggest that education and income are important factors that influence CBR in Bogor Regency.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".