Building Resilience in Trans-boundary Social-Ecological Systems: Adaptive Governance in the Lake Champlain Richelieu River Basin
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
Addressing the management of water bodies that cross political, cultural, and ecological boundaries entails working with a level of complexity that requires creative, adaptive management strategies that build resilience throughout the system and allow for increased capacity in the face of disturbance. To characterize the extent to which such complexity can be managed, this paper explores the application of the social-ecological systems framework, proposed by Brian Walker and David Salt, for assessing and managing resilience. Elements of this framework will be utilized with respect to the Lake Champlain Richelieu River Basin, which is a freshwater basin that exists between the United States and Canada, in Vermont, New York, and Quebec. The paper will end with considerations regarding how adaptive management and adaptive governance can be employed as tools to build resilience in this region.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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