Water‐IQ matters as water conflicts mount
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 Water crises fuel conflicts that confound efforts to solve the underlying water crises. Water diplomacy is more effective at defusing such conflicts when the parties involved share at least a common understanding of the water involved. We argue that basic, but still up to date knowledge of where water is and how it moves is so important for finding common ground in water conflicts that this knowledge deserves a name of its own—the Water Intelligence Quotient or Water‐IQ. Science has advanced, and what people learn about the water cycle needs to reflect that. Two keystones of Water‐IQ are awareness of how profoundly people have influenced the water cycle and the atmospheric teleconnections that move water between geographic regions. Given the importance of evidence‐based knowledge of the water cycle when trying to overcome water conflicts and seek a basis for water cooperation, Water‐IQ knowledge needs to be spread widely. This article is categorized under: Human Water > Water Governance Water and Life > Conservation, Management, and Awareness Human Water > Water as Imagined and Represented
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.053 |
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