Environmentally Friendly Post-Mining Land Reclamation Policy for Manganese in Sabu Raijua, East Nusa Tenggara, Indonesia
Bibliographic record
Abstract
Every mining business that is carried out will greatly affect the environment, either directly or gradually.Changes in natural ecology are also determined by human attitudes and protection of the environment.Restoration in accordance with the initial conditions is critical in mining industry to balance of the ecosystem, ecology, and avoid damage to environment.This study aims to investigate the post-mining reclamation of manganese in Sabu Raijua Regency, East Nusa Tenggara, Indonesia.The method used is empirical with some supporting data from respective agencies used as a basis for investigation.The results showed that the important position of Sabu Raijua in manganese production, and it has among the best quality of manganese in the world.However, as to avoid the detrimental effect of mining activities to cause environmental damage, strict supervision and the involvement of local institutions in environmentally friendly reclamation are highly needed.The findings underlined the core principle of reclamation of manganese mining with sustainability principle.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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; 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".