Bibliographic record
Abstract
Negara menjamin tumbuh kembang anak secara fisik, mental, dan emosional serta wajib melindungi anak dari segala bentuk kekerasan dan diskriminasi di lingkungan keluarga, masyarakat, maupun lembaga lainnya, namun kasus meninggalnya seorang anak laki-laki berusia 8 tahun berinisial MI, siswa kelas 2 SD di SDN 024 Tarakan pada Agustus 2024 yang diduga akibat luka bekas pemukulan oleh teman sekelasnya FA menunjukkan masih lemahnya perlindungan anak, sejalan dengan Data SIMFONI KPPPA RI yang mencatat bahwa di Provinsi Kalimantan Utara pada periode 2020–2024 terdapat 746 kasus kekerasan terhadap anak yang didominasi kekerasan fisik, psikis, dan seksual yang dipicu oleh pengasuhan tidak layak, sehingga rekomendasi ini disusun untuk memberikan masukan atas permasalahan tersebut agar ke depan pengasuhan anak yang layak dapat berkontribusi dalam membangun Kaltara Emas menuju Indonesia Emas Tahun 2045.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.004 |
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".