ULASAN PERUNDANG – UNDANGAN “Potensi Undang-undang Nomor 18 Tahun 2013 dalam Mendukung Penerapan Demokrasi Lingkungan”
Bibliographic record
Abstract
AbstrakTulisan ini akan membahas potensi UU Nomor 18 Tahun 2013 tentang Pencegahan dan Pemberantasan Perusakan Hutan (UU P3H) dalam mendukung penegakan demokrasi lingkungan. Untuk mempertajam pembahasan, fokus kajian akan dilakukan dari dua aspek, yaitu: 1) Perangkat yang dapat didayagunakan untuk mendukung penegakan hukum yang efektif sehingga dapat melindungi hak mendasar warga negara; dan 2) Peran aktif masyarakat dalam penegakan hukum. Kedua aspek tersebut dirasa penting untuk mewujudkan nilai-nilai mendasar dari demokrasi lingkungan yang didasarkan peran aktif masyarakat dalam pengambilan keputusan terkait kebijakan penegakan hukum2 dan penerapan penegakan hukum yang adil, akuntabel dan efektif dalam rangka menjaga serta melindungi hak masyarakat atas pemanfaatan sumber daya alam.AbstractThis article will discuss the potential of Law No. 18 of 2013 regarding Prevention and Eradication of Forest Degradation in supporting implementation of environmental democracy. To sharpen the analysis, the focus of study will be conducted from two aspects, namely: 1) The tools that can be utilized to support effective law enforcement in order to protect the fundamental rights of citizens, and 2) The active role of people in law enforcement. Both aspects are considered important to realize the fundamental values of a democratic environment based on active role in decisions related to policy enforcement and application of the rule of law that is fair, accountable and effective in order to maintain and protect the people's right to use natural resources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.006 |
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".