Pendidikan Kelas Ibu Hamil terhadap Peningkatan Pengetahuan Ibu Hamil di Wilayah Kerja Puskesmas Kotabaru Riau
Bibliographic record
Abstract
This research is a pre-experiment research with a one class pre test and post test design, in order to have an impact of class education for pregnant women on increasing maternal knowledge in one subject group of pregnant women in the Kotabaru Health Center work area, Riau. The secondary data for this research is data about the number of pregnant women at the Kotabaru Riau health center. The sample was 60 respondents. Data analysis used paired -t-test. The results of this study reveal that there is a correlation between the impact of class education for pregnant women on increasing the knowledge of pregnant women. The conclusion produced in this research is that there is a correlation between the educational impact of the Pregnant Mother Class application on increasing the knowledge of pregnant women in the work area of the Kota Baru Health Center, Riau in 2022.
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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 | 0.001 |
| 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) | 0.012 | 0.001 |
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".