Water Sustainability Index: Application of CWSI for Ahwaz County
Why this work is in the frame
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Bibliographic record
Abstract
Sustainability of water resources is vital especially for developing countries such as Iran which are located in the Middle East and North Africa (MENA) region where water is scarce. To balance the high demand of water for economical growth and at the same time preserve the environment for present and future generations, sustainability of water resources should be considered by monitoring and data mining. For this purpose, several quantified indices have been proposed and applied world wide recently. In this paper, the Canadian Water Sustainability Index (CWSI) proposed by PRI, has been trailed for the case of Ahwaz County, a community located in South West of Iran fed by Karun River. Required data for the composite CWSI score which is the average of five major theme-based components (i.e. resource, ecosystem health, infrastructure, human health capacity) was collected according to the PRI evaluation method. In addition to the standardized CWSI, the final index was also calculated considering weight estimation for the five components by pair-wise comparison, using Expert Choice version 2000. Results showed that application of this index as a policy tool, with some modifications in weights, was satisfactory for the educational case study and could be replicated for other communities in Iran.
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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 | 0.000 | 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 it