MODEL PERADILAN RESTORATIF DALAM SISTEM PERADILAN ANAK (Kajian tentang Praktik Mediasi Pelaku dan Korban dalam Proses Peradilan Anak di Wilayah Hukum Balai Pemasyarakatan Purwokerto)
Bibliographic record
Abstract
Legal fundament of implementation of restorative justice in the phase investigation of juvenile justice system in Indonesia stated in article 5 sentence (1) Law No. 8 Year 1981 concerning KUHAP; article 42 Law No. 3 Year 1997 concerning juvenile court, article 16 sentence ( 1) letter (l), sentence (2) and article 18 Law No. 2 Year 2002 concerning Police Department of Republic of Indonesia, Confidential Telegram of Kabareskrim No. Pol. TR/359/DIT,I/VI/2008. Mediation Perpetrator and Victim in the course of Jurisdiction of Child in jurisdiction territory of prison in Purwokerto, in the form of peace among victim and perpetrator of this child, is conducted in inspection phase, is in prosecution phase and inspection of justice have never been conducted by mediation. Implementation of Mediation in case of child in Jurisdiction territory of Bapas Purwokerto, not yet earned a Restorative Justice Model. This Matter is based on fact that goals of this mediation practice tend to only aim to decontrol continuation. Kata kunci: Juvenile Justice System; Restorative Justice Model; Mediation; prison
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 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".