Collaborative Restoration of Boundary Bay for Traditional Shellfish Harvest: Shared Waters Alliance
Bibliographic record
Abstract
Shared Waters Alliance is an international working group focused on the water quality of the Canadian-US shared waters of Boundary Bay. Boundary Bay is a critical section of BC’s rare coastline habitat and is recognized locally, nationally and internationally. Shared Waters was formed in 1999 and is made up of representatives from government, First Nations and community groups from both countries. A primary driver for the formation of this working group was the shellfish harvesting closure on the Canadian side of the border due to bacteriological contamination. Indigenous peoples (including Semiahmoo First Nation) traditionally harvested the abundant fish and shellfish resources for their livelihood. Boundary Bay oysters accounted for 50% of the total provincial oyster production from 1940 -1963, until water contamination forced the closure of commercial, recreational and First Nations harvest. Shared Waters Alliance collaborates on environmental projects that can inform and improve the status of water quality in the Boundary Bay Basin. Current priority actions are focused on the Little Campbell (Tatalu) River watershed as it has been identified as the most significant contributor of fecal coliform contamination to Semiahmoo Bay, and the traditional shellfish harvest location for Semiahmoo First Nation. Current Objectives: ? Pool knowledge ? Establish a shared vision and priorities for restoring water quality in the Little Campbell and Semiahmoo Bay ? Establish a Semiahmoo Nation led shellfish harvest monitoring system ? Undertake collaborative watershed planning to the extent feasible to address land based source of pollution ? Support Shared Waters participants taking on the ground actions to address water quality
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".