ANALISIS EFEKTIVITAS AKSI KONVERGENSI/INTEGRASI STUNTING DI WILAYAH KABUPATEN ACEH JAYA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Gerakan penurunan stunting di Kabupaten Aceh Jaya dimulai pada Tahun 2020 berdasarkan Keputusan Bupati Aceh Jaya Nomor 307 Tahun 2020 tentang Tim Pengentasan dan Penanganan Malnutrisi Terintegrasi Kabupaten Aceh Jaya dan mulai fokus pada Pencegahan dan Penangulangan malnutrisi (Stunting/Gizi Akut). Tujuan kajian ini adalah untuk menganalisa efektif atau tidaknya pelaksaaan program 8 (delapan) aksi Konvergensi/Integrasi Stunting yang sudah dirumuskan guna menuunkan angka stunting di Kabupaten Aceh Jaya. Kajian menggunakan pendekatan kualitatif, data dianalisa dengan menggunakan model Miles and Huberman. Penelitian ini menemukan bahwa Realisasi pelaksanaan program 8 (delapan) Aksi Konvergensi/Integrasi Stunting di Kabupaten Aceh Jaya sudah berjalan dengan efektif. Persentase penderita stunting di Kabupaten Aceh Jaya menunjukkan tren penurunan dari persentase 20% menjadi 12,6 %. Hal ini menunjukkan adanya tren penurunan dari tahun sebelumnya. Ini merupakan hasil positif dari kerja bersama yang sudah dilakukan oleh Sekber Bangraja dalam melakukan intervensi, baik secara spesifik maupun intervesi senstif kepada sasaran anakpenderita malnutrisi (stunting/gizi akut).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it