Community based adaptation options for climate change impacts on water resources: The case of Jordan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A strategic vision to ensure an adequate, safe and secure drinking water supply presents a challenge, particularly for such a small country as Jordan, faced with a critical supply-demand imbalance and a high risk of water quality deterioration. In order to provide sustainable and equitable long-term water management plans for the future, current and future demands, along with available adaptation options should be assessed through community engagement. An analysis of available water resources, existing demands and use per sector served to assess the nation’s historic water status. Taking into account the effect of both population growth and rainfall reduction, future per sector demands were predicted by linear temporal trend analysis. Water sector vulnerability and adaptation options were assessed by engaging thirty five stakeholders. A set of weighed-criterions were selected, adopted, modified, and then framed into comprehensive guidelines. A quantitative ratio-level approach was used to quantify the magnitude and likelihood of risks and opportunities associated with each proposed adaptation measure using the level of effectiveness and severity status. Prioritization indicated that public awareness and training programs were the most feasible and effective adaptation measures, while building new infrastructure was of low priority. Associated barriers were related to a lack of financial resources, institutional arrangements, and data collection, sharing, availability, consistency and transparency, as well as willingness to adapt. Independent community-based watershed-vulnerability analyses to address water integrity at watershed scale are recommended.
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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 | 0.001 | 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 | 0.000 |
| 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 it