Urgensi Penyatuan Lembaga Penegak Hukum di Laut Indonesia
Bibliographic record
Abstract
In its efforts to enforce law at sea, Indonesia has 13 law enforcement agencies at sea. Six of these institutions have maritime patrol task forces. The number of law enforcement agencies in Indonesian seas is considered negative by several parties because of the potential for the authority of each agency to overlap. This research aims to find out what the condition of maritime law enforcement agencies in Indonesia is and what are the considerations for unifying maritime law enforcement agencies in Indonesia. This research is normative research related to maritime law enforcement agencies in Indonesia. There are at least 13 law enforcement agencies in Indonesian seas. The unification of maritime law enforcement agencies in Indonesia is necessary because unclear roles and authority, as well as a lack of coordination between agencies, have resulted in ineffectiveness in law enforcement and maritime security management. Indonesia needs unification of authority to strengthen all security, safety and maritime law enforcement functions in Indonesia
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".