Water Management on the U.S.-Mexico Border: Achieving Water Sustainability and Resilience through Cross-Border Cooperation
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
Shortly after being confirmed by the U.S. Senate in 2021, Commissioner Maria Elena Giner called for input into issues of importance to the U.S. Section of the International Boundary and Water Commission (USIBWC). Responding to her call, a group of border scholars committed to producing a white paper entitled “Water Management on the U.S.-Mexico Border: Achieving Water Sustainability and Resilience through Cross-Border Cooperation”. This document was presented to Commissioner Giner at the spring 2022 ABS Annual Meeting in Denver, Colorado. This commentary outlines the main ideas and recommendations in this white paper, which are intended to strengthen the USIBWC's ability to respond to the challenges of U.S.-Mexico border water management in the 21st century. The paper recognizes the IBWC's long history of handling binational water issues effectively and its demonstrated capacity to respond and adapt to the border region's changing social, political, and environmental conditions. The commentary is capped with Commissioner Giner's response to the white paper, including her commitment to work with the academic community in both countries in creating an IBWC's binational science advisory group, as recommended in the white paper.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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