Bibliographic record
Abstract
This book deals with Canada’s oceans management policies since the conclusion of the 1982 Convention of the Law of the Sea. That Convention set out a jurisdictional framework for the management of the world’s oceans, but it did not provide states with precise guidance on all the issues that can arise. As a state with one of the world’s longest coastlines, Canada was one of the principal beneficiaries under the 1982 Convention regime. A study of Canadian policy is particularly significant, as Canadian oceans management places in relief many of the difficult questions yet to be resolved. The central theme of this book, whose multidisciplinary contributors include leading Canadian participants in the Third United Nations Conference on the Law of the Sea, as well as leading Canadian academic and government oceans specialists, concerns the adequacy of the Canadian management responses to a new oceans regime which grants substantial jurisdiction to the coastal state. The chapters look at dispute settlement (maritime boundaries) and examine future Canadian and international policy directions. They are both analytical and prophetic, providing an assessment of the past and presenting a glimpse of the future. Canadian Oceans Policy provides insights into how Canada is managing the oceans and ocean resources off its coast and looks at the problems that lie ahead. The book also makes a major contribution to our understanding of an increasingly vital area of global politics. It will be of interest both to academics and policymakers and to all those concerned with the future of the oceans.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.116 | 0.018 |
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".