The network structure of multilevel water resources governance in Central America
Why this work is in the frame
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Bibliographic record
Abstract
The acceleration of changes in global water resource systems is exacerbating the ability of governance institutions to adapt, particularly in developing world regions. We highlight one of the key challenges to resilience in environmental governancecoordinating governance processes within and across multiple interacting geographic levels-and investigate structures of local, regional, and multilevel water governance networks using empirical data from Central America. We examined hypotheses of multilevel governance network structure and function using descriptive statistics and exponential random graph models, and found that closed and open network structures are more prevalent at the local and regional levels, respectively, and that cross-level ties impart smallworld structures upon the multilevel network. Small-world networks are theorized to provide joint benefits on cooperation, policy learning, and resource distribution, all of which are necessary for effective water resources governance.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| 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