KEPATUHAN INDONESIA TERHADAP REZIM ASEAN AGREEMENT ON TRANSBOUNDARY HAZE POLLUTION (AATHP)
Bibliographic record
Abstract
The aim of this research is to analyse Indonesia’s compliance with the ASEAN Agreement on Transboundary Haze Pollution (AATHP) regime, where Indonesia as the main actor in cross-border smoke haze pollutions is in the spotlight in every forest fire that occurred in the Southeast Asia region which resulted in cross-border smog. This research is a qualitative research with data collection techniques namely internet-based literature study. The analysis in this research uses international regime theory and regime compliance with indicators of outputs, outcomes and impact. From the result of the analysis in this research, it can be concluded that Indonesia obeys the ASEAN Agreement on Transboundary Haze Pollution (AATHP) regime because Indonesia has succeeded in fulfilling the three indicators of regime compliance theory. From the outputs indicator, Indonesia has succeeded in making regulations and institutions, from the outcomes indicator which can be seen from Indonesia’s consistency in acting and implementing programs and from impacts indicator is proven by the improvement of the environment quality especially Indonesia’s forests.
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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 | 0.001 | 0.001 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".