Restorative Justice Sebagai Pembaharuan Sistem Peradilan Pidana Berdasarkan UU No.11 Tahun 2012 Tentang Sistem Peradilan Pidana Anak
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
ABSTRACT Formation basis of Restorative Justice’s concept in Indonesia originated from a variety of tribal customary law. As customary of Minangkabau, Mandailing, Toraja, Bali and others have done this concept known as the consensus agreement. Restorative Justice’s concept is also known in 1970 in Canada. Restorative Justice’s concept implemented in Article 7 of Law Number 11 of 2012 by using the Diversion way. Potencies are available when applying Restorative Justice’s concept is the Institutional and Professionals of Law Enforcement Officer substantively has been guaranteed in the Law Number 11 of 2012 added many people who support the implementation of Restorative Justice’s concept in Juvenile Justice System in the foreseeable future. Constraints that will be faced by law enforcement officer is the human resources who have not been able to fulfill what is mandated by law Number 11 of 2012, namely the existence of a Judge, Prosecutor and police for child which is a must in every agencies. Inadequate infrastructure in every law enforcement officer agencies is also an obstacle for the future implementation of the Restorative Justice’s concept, and the legal culture of society that many complained by law enforcement officer that can be complicate the implementation of Restorative Justice’s concept in the Juvenile Justice System. Keywords :RestorativeJustice,Juvenile Justice System, Law Enforcement Officer
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 | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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