GAMBARAN PENGETAHUAN DAN PARITAS IBU YANG MEMBERIKAN ASI EKSKLUSIF DI WILAYAH PUSKESMAS CAHAYA NEGERI KABUPATEN SELUMA TAHUN 2017
Bibliographic record
Abstract
The decline in the rate of exclusive breastfeeding is one of the factors causing death in infants. Breast-fed infants are 17 times more likely to have pneumonia, and are 3-4 times more likely to get respiratory infection than infants exclusively breastfed (Maryunami, 2012).This study aimed to determine the description of knowledge and parity of mothers providing exclusive ation at Cahaya Negeri health center of Seluma regency in 2017.The type of research is descriptive quantitative with the entire population of Mothers having infants aged 6-12 months at Cahaya Negri health center area as many as 193 babies. This research was conducted on June 18 to July 25, 2017 with the Accidental Sampling by 66 respondents. This research used a descriptive analysis.The results obtained from 24 mothers who gave exclusive breastfeeding, (54.2%) were knowledgeable enough and (54.2%) mothers were with multiparity parity. Of the 42 mothers who did not breastfeed Exclusively (52.4%) had less knowledge and most (59.5%) of the mothers were with primiparity parityTo Cahaya Negeri Seluma Health Center of Seluma regency is expected to cooperate with health institute to do giving information to the community, especially pregnant women and mothers who have a toddler.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".