Development of the Intertidal Clam Monitoring Program for the South Coast of British Columbia
Bibliographic record
Abstract
The Fisheries Act, amended under Bill C-68 (2019), includes Fish Stocks provisions that align some elements of Fisheries and Oceans Canada’s (DFO) Precautionary Approach framework with legal requirements within the Act; including developing Limit Reference Points (LRPs). The Intertidal clam fisheries in the south coast of British Columbia target three species: Manila Clam (Venerupis philippinarum), Butter Clam (Saxidomus gigantea), and Littleneck Clam (Leukoma staminea); some of the species targeted in these fisheries may be considered for prescription in regulation. An Intertidal Clam Monitoring Program (ICMP) was proposed, to address a paucity of data and to collect standardized population dynamics data, that will support the development of LRPs for these species. This report captures the process and discussion of the first two steps in the development of the ICMP, which included engagement with First Nations, Industry and other stakeholders, to inform future project direction and identify beaches for clam monitoring.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".