Optimalisasi Sistem Pemasyarakatan Melalui Pendekatan Community Based Correction di Berbagai Negara Dunia
Bibliographic record
Abstract
This study explores the shift from conventional incarceration systems to Community-Based Correction (CBC) as a more humane and effective approach to offender rehabilitation. Traditional prisons often fail to reintegrate inmates and instead exacerbate issues such as overcrowding, violence, and prisonization. CBC offers an alternative grounded in restorative justice through non-custodial methods such as community service, electronic monitoring, and probation. Using a post-positivist qualitative method, the study analyzes secondary data from legal texts, academic journals, and case studies across several countries. The Netherlands integrates community service as a primary sentence within a flexible legal framework; Canada emphasizes probation and offender accountability through restorative justice; New Zealand applies structured programs like community work and electronic supervision; while Indonesia’s CBC is limited to assimilation and open prisons, with minimal public involvement. The findings highlight CBC's success in reducing recidivism and prison overcrowding
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".