Science-Policy Dialogues for Water Security: Addressing Vulnerability and Adaptation to Global Change in the Arid Americas
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
In much of the world, climate change is causing water supply to be increasingly uncertain while mounting human pressure is straining the availability of water, other resources, and ecosystem services. One result of these twin forces is a palpable rise in societal vulnerability. The arid Americas" as characterized by the Southwest United States, Northwest Mexico, North-central Chile and Argentina, and Northeast Brazil" manifest the above challenges especially well. In these areas water remains acutely limited, ecosystems are under growing pressure, and economic globalization drives water demand. These global change conditions threaten the security of access to water. Yet the foregoing conditions prevail?with little regard for constraints to supply, insufficient understanding of vulnerability, and inadequate attention to adaptive measures. To the extent that such problems are attributable to human agency, there is evidence that effective policies and actions can alleviate some of the harm. Among the policy instruments available, the formation and activation of interactive networks of scientists, agency personnel, civil society, and decisionmakers is an important and innovative strategy. Our essay describes two such networks, at different stages of development, in the arid Americas that have helped catalyze a sustained effort to reduce vulnerability and heighten adaptation to global change through science-policy dialogues in their respective regions.
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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 | 0.003 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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