PENERAPAN DIVERSI TERHADAP ANAK YANG BERKONFLIK DENGAN HUKUM MENURUT QANUN ACEH NOMOR 9 TAHUN 2008 TENTANG PEMBINAAN KEHIDUPAN ADAT DAN ADAT ISTIADAT DAN UNDANG-UNDANG NOMOR 11 TAHUN 2012 TENTANG SISTEM PERADILAN PIDANA ANAK
Bibliographic record
Abstract
The background is by two law applications that apply in Aceh, the first law that generally applies in Indonesia and the second one that applies specifically in Aceh, the Law Number 11 of 2012 concerning the System Juvenile Criminal Court is a way out for better handling of children conflict with the law. The law regulates diversion where there are two important things that have a special place in the SPPA Law, namely restorative justice and diversion. The results showed that the resolution of the problem of children conflict with the law in Aceh consists of two legal applications, starting with the mediation process according to Aceh Qanun Number 9 of 2008 concerning fostering customary life and customs Development with the aim that these problems can be resolved amicably according to the Decree Joint between the Governor of Aceh and the Aceh Regional Police and the Aceh Traditional Council No 189/677/2011 dated 20 December 2011 concerning the Implementation of the Gampong and Mukim Adat Courts, but if during the mediation process no agreement is found then proceed to the legal process according to the Law Number 11 of 2012 concerning the Criminal Justice System for Children.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.008 |
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".