Bibliographic record
Abstract
ABSTRAKMasalah.Kekurangan zat besi adalah penyebab yang paling umum terjadinya anemia gizi.Kejadian anemia tertinggi ditemukan pada akhir masa bayi dan prasekolah.Pada mayoritas keluarga, ibu berperan penting dalam pengaturan makan anak dan pemenuhan kebutuhan gizi.Salah satu upaya untuk meningkatkan perilaku pencegahan anemia pada anak adalah dengan Calgary Family Intervention Model (CFIM).Metode.Rancangan pre eksperiment one group pre post test design.Sampel adalah ibu dengan anak prasekolah yang bersekolah di TK Muslimat Curungrejo Kepanjen Malang yang memenuhi kriteria inklusi sebanyak 22 (purposive sampling).Intervensi Calgary/CFIM dalam pencegahan anemia selama 3x pertemuan melalui kunjungan rumah, tiap pertemuan 50 menit dengan metode ceramah, diskusi, konseling.Instrumen menggunakan Food Frekuency Quistionare (FFQ).Analisa data menggunakan Wilcoxon Sign Rank Test dengan α 0.05.Hasil.Uji statistik menunjukkan peningkatan pengetahuan sebelum (54,5 %) dan sesudah (90.9%) dengan p value=0.004.Simpulan.Intervensi melalui kunjungan rumah selama 3 sesi dengan mengkombinasikan beberapa metode berperan dalam peningkatan pengetahuan responden setelah dilakukan intervensi.CFIM dapat meningkatkan pengetahuan ibu dalam pencegahan anemia anak.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.267 | 0.091 |
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".