Localization of the Sustainable Development Goals in the Persian Gulf Marine Environment: Challenges and Opportunities
Bibliographic record
Abstract
Localization of sustainable development goals could reasonably provide a framework to how local and regional governments meet their requirements in respective jurisdictions. Due to the importance of the environment protection in the process of the “sustainable development”, it is crucial for the states to include sustainable development goals in their regulations, laws and policies. In this perspective, presenting new approaches is utterly requested to protect the maritime environment of the Persian Gulf from destruction and degradation. Undoubtedly, there are a number of challenges and obstacles regarding the localization of SDGs in this region that the present paper will examine the strategies for addressing them. In fact, if environmental rules are internalized as a part of the domestic legal system, they will become more prominent and will be more respected. For this reason, one of the fundamental goals of this paper is to elaborate a suitable methodology to explain and design localized indicators of development sustainability at the regional level of the Persian Gulf. The main goals of sustainable development are to attain durable development in maritime areas in which efforts are made to provide a balance between economy, community and the marine environment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".