IMPORTANCE OF INCREASING KNOWLEDGE OF EXCLUSIVE BREASTFEEDING AS AN EFFORT TO PREVENT STUNTING
Bibliographic record
Abstract
Exclusive breastfeeding is a perfect source of nutrition for babies containingall the nutritional components to meet the baby health in ideal baby growth and development. The low level of exclusive breastfeeding can have an impact on the decline in the baby's immune system and health. The phenomenon is that not all postpartum mothers want to give exclusive breastfeeding. Some refuse on the grounds of working, spoiling their appearance, breast milk does not come out, and other reasons related to myths about breastfeeding. This study aimed to determine the effect of leaflet media counseling on knowledge of exclusive breastfeeding for infants in Cisaranten Kidul Village. The method in this research is quantitative with a quasi-experimental design. The research sample was 50 mothers with babies divided into twogroups. Sampling technique using Purposive Sampling. Data analysis through Wilxocon. The results showed an increase in knowledge before and after being given counseling by 13.45%. The Wilxocon test analysis is 0.00 < 0.05, which means that leaflet media counseling has an effect on increasing knowledge of exclusive breastfeeding. Efforts to increase understanding of exclusive breastfeeding must continue to pursue to increase the coverage of exclusive breastfeeding as an indicator of clean and healthy living behavior and prevent stunting for a stunting-free generation. There is a need for cross-program and cross-sector collaboration that enhances partnerships in increasing knowledge about the importance of exclusive breastfeeding.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".