Interpretive Structural Analysis of Interrelationships of the Sustainable Development Goals (SDGs) in Iran
Bibliographic record
Abstract
Sustainable Development Goals (SDGs) provide an ambitious agenda to end poverty and its dimensions and a sustainable, prosperous, and fair future. The aim of our paper is to assess the significance of SDGs from the perspective of Iran. To this end, the method of ISM has been used to express the interrelationships between SDGs. Besides, MICMAC method was utilized to assess dependence and driving power of every SDG. By data analyzing, SDGs were classified into six different levels and were modeled according to the interrelationships between them. Variables then were divided into three groups of dependent, independent/driving, communication, and autonomous variables, and no variable was included in the group of linkage variables. The findings show that SDGs12 and SDGs4 are the most fundamental goals of sustainable development, considering the needs, development stages, capacities of Iran. Achieving them is the basis for achieving other goals.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".