THE UNCERTAIN UNCERTAINTY OF RIVER BASINS: ACCOUNTING FOR UNCERTAINTY IN INTEGRATED WATER RESOURCES MANAGEMENT (IWRM)
Bibliographic record
Abstract
Integrated Water Resources Management was officially established under the 1992 Dublin Principles. A set of standard principles was thought to be the ‘state-of-the-art’ solution to problems of ensuring good management, governance, distribution, and usage across the world. Therefore, this ‘perfect’ solution has become a leading discourse in water governance and management. However, current water related problems leave the Principles unrealistic and too idealistic for real success. Without responding to the lack of transparency and accountability, IWRM will not have the capacity to manage uncertainty in the future as global environmental changes continue. Following a case study from the Mekong River Basin, this paper will discuss how IWRM does not accurately account for issues of uncertainty in the water system and provides a plausible solution to this problem.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".