Braided Freshwater Governance: A comparison of regulation and stewardship of riparian areas and wetlands in British Columbia and Washington
Bibliographic record
Abstract
Clean water from freshwater sources that flow into the Salish Sea is essential for maintaining a healthy ecosystem. Yet, the riparian and wetlands areas that help to protect upstream water quality are threatened by a number of stressors, which include land use and development practices, forestry activities, and agricultural operations. These practices have historically resulted in the removal of vegetated cover, hardening, straightening or culverting of stream bank features, increases in impervious area, and wetland fill. These changes can impact a variety of ecosystem functions and, as a result, are considered to have a high potential impact to watersheds and marine basins in the Salish Sea. Different levels of government on both sides of the United States-Canadian border have developed regulatory protections to minimize land use and development-related impacts to riparian areas and wetlands. Efforts are also being made to restore previously impacted resources. Yet, as these natural features flow across national and internal borders between local governments, the reality is that these features are governed differently. Freshwater governance, much like the braided streams it addresses, has multiple approaches that repeatedly divide and converge around the varied interests and/or policies that exist in Canada, the United States, and the indigenous populations of the region. This presentation will explore how these governance systems compare, by conducting a case study analysis of the regulatory protection strategies and stewardship activities that exist in two transboundary watersheds located in British Columbia and Washington State. Similarities and differences in the scale at which riparian and wetland resources are managed and authorities and processes for review of development activities in and near these features will be explored. This study provides insight into potential gaps, barriers, successes, and opportunities with existing governance structures, regulatory review processes, and management tools for riparian area and wetland management.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".