Bibliographic record
Abstract
We consider law and policy responses to invasive seaweeds at global and regional levels. Key global regimes considered include the 1982 United Nations Convention on the Law of the Sea, the Convention on Biological Diversity, the Ramsar Convention and the Bonn Convention on Migratory Species. Contributions from the Food and Agriculture Organization and the International Maritime Organization are also considered in the global context. At a regional level, examples of efforts in North America and Europe are offered to illustrate challenges and opportunities for regional responses to invasive seaweeds. We conclude with law and policy recommendations, most notably the need to approach the issue of invasive seaweeds in a manner consistent with the precautionary principle. This paper was co-authored with Meinhard Doelle , Dalhousie University ( mdoelle@dal.ca ) and Moira McConnell , Dalhousie University ( moira.mcconnell@dal.ca ).
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.013 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".