Submarine tailing disposal system: Indonesia's policy and future challenges
Bibliographic record
Abstract
This research departs from Indonesia’s policy and practice on the submarine tailings disposal system, in which there is a legal vacuum in Indonesia legal system. However, Indonesia is part of UNCLOS 1982, which obliged to conform their rules with the regulation in the convention, especially on the protection of the marine environment. This research aims are to examine the current Indonesia’s policy and compare it with American and Canadian policies. To visualize the above objective, this research applies normative-empiric legal research, which emphasizes its analysis of primary and secondary legal materials. All collected legal materials are classified, categorized, analyzed and constructed as well as developed through analytical prescriptive elaboration. The utilization of the marine area as a medium of submarine tailing disposal system could be categorized as a land-based source of marine pollution. As one of the biggest archipelago states in the world, Indonesia should have a strict regulation on submarine tailings disposal to prevent the past failure of the system in Buyat Bay, North Sulawesi.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.047 | 0.013 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".