Evaluation the Canadian Water Sustainability Index in Ain Al-Tamr district /Kerbala-Iraq
Bibliographic record
Abstract
The sustainability and development of water resources is a matter of utmost importance, especially for the countries of the Middle East that are threatened by water scarcity such as Iraq due to the different social, political and economic conditions. The importance of studying the sustainability of water resources for different regions, especially those far from water sources, to achieve a water balance between supply and demand and to ensure the provision of water resources and a safe environment for future generations. For the purpose of studying the subject of sustainability, the studies have come up with a proposal and adoption of many indicators that can be applied in all regions. In this paper, the Canadian Water Sustainability Index CWSI proposed by the policy research initiative PRI was used and applied in the Ain al-Tamr region, which is located in southwest of the holy city of Karbala /Iraq and which is completely fed by groundwater. All data required to calculate the values of the five CWSI components (i.e. resources, infrastructure, ecosystem health, human health, and capacity) were collected according to the PRI assessment method. The weights of CWSI components were determined using a pair-wise comparison method. The results showed that the value of CWSI for the study area was 55.331. It is possible to apply this method to study sustainability after determining the weights of the components.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".