Finding Common Ground: Negotiating Downstream Rights to Harvest with Upstream Responsibilities to Protect—Dairies, Berries, and Shellfish in the Salish Sea
Bibliographic record
Abstract
Harvesting shellfish is an important cultural and economic activity for coastal Indigenous communities throughout the Salish Sea. However, for the Lhaq’temish People of Lummi Nation, upstream agricultural pollution has rendered this inherent right impossible for almost two decades. In an attempt to reopen the shellfish beds, Lummi Nation leaders developed the Portage Bay Partnership, which aims to address the upstream pollution problem through relationship building and shared connection to place. The partnership brings to light several key points: (1) efforts to integrate different community views of place to develop a relational approach to shared water governance, (2) the use of legal tools to incentivize relationship building, and (3) the continued challenges associated with competing governance frameworks and worldviews. This partnership opposes a system that has been set up to systemically exclude or disenfranchise Indigenous communities, replacing a governance model based on acquired rights with one that prioritizes relationships and responsibilities.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".