Implementasi Kepatuhan Iran terhadap Protokol Montreal melalui Program HCFC Phase-Out Management Plan (HPMP) Tahun 2017-2021
Bibliographic record
Abstract
The Montreal Protocol is an International Environmental Agreement that regulates the protection of the ozone layer by controlling the use of Ozone Depleting Substances (ODS). HCFC is type of ODS which is regulated under the Annex C of the protocol and must be phased-out by parties. Iran is one of the countries that ratified the Montreal Protocol and is obliged to comply with the implementation of the agreement. However, Iran's consumption of HCFCs is reasonably high, resulting a very significant increase in air temperature. This study aims to answer the question on how to implement Iran's compliance with the Montreal Protocol in reducing HCFC consumption. The theory used in this research is the compliance theory by Ronald B. Mitchell to analyze Iran's compliance with the protocol through 3 indicators namely, output, outcome, and impact. This is descriptive qualitative reseacrh with data obtained from literature study. This research results that changes in Iranian behavior are well achieved through the implementation of the HCFC Phase-out Management Plan program. The behavior changes emerged since HPMP involves 4 main areas specifically, training, HCFC conversion, awareness raising, and financial assistance.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".