Heterogeneous Diplomacy of Political Relations between Iran and Afghanistan in exploiting the water of Helmand Border River
Bibliographic record
Abstract
The water challenge in the Middle East has caused governments to face new problems in which they have to consider more control, management, and care regarding their water resources to survive. Due to growing water consumption by upstream countries of the border rivers in exploiting the resources, we will observe an increase in hydro-political disputes among the nations. Helmand is a river that flows into Iran and includes a hydro-political aspect. It has always influenced the relations between the two countries since the border formation. The fluctuation of the Helmand water flow and decrease in the running water towards Sistan (Iran) in the last hundred years has always created problems in relations between Iran and Afghanistan at the National and local levels. In the past years, Afghanistan has consumed a significant part of the water by creating a dam, reducing the amount of water flowing into Iran. On the other side, morphological changes of the river, such as the dispute on specifying the border exactly in the changeable river bed, dispute from the instability of water rights distribution pattern between the two countries, and finally, the dispute from specifying the extent and territory of the border area has led to ecosystem instabilities. In this regard, the strategy to control the ecosystem instabilities is environment diplomacy, and if it is synchronized with defensive diplomacy, it causes stability. With this description, we will examine the Helmand peripheral issues and the course of diplomacy in this field.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".