Review of the Atlantic Seal management strategy precautionary approach framework
Bibliographic record
Abstract
The Atlantic Seal Management Strategy (ASMS) was the first Precautionary Approach (PA) framework developed for a fishery in Canada and was adopted in 2003, prior to the implementation of the Department of Fisheries and Oceans’ (DFO) PA Policy. Since then, it has been used to provide advice on sustainable harvest levels for Atlantic seals (harp, grey and hooded seals) and other marine mammal stocks in Canada. Components of the ASMS have been reviewed and refined since its implementation, however, in light of the time since the initial development of the ASMS, DFO Science was asked to review the current PA framework for Atlantic seals to ensure consistency with DFO’s PA Policy. Here we review the ASMS PA framework and make recommendations for adjustments to the current strategy and suggestions for future work.
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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 | 0.017 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.015 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".