Recasting transboundary fisheries management arrangements in light of sustainability principles : Canadian and international perspectives
Bibliographic record
Abstract
Contents: Chapter 1: Recasting Transboundary Fisheries Management Arrangements In Light Of Sustainability Principles Part One: Understanding the International and Regional Transboundary Fisheries Management Context Chapter 2: The International Law and Policy Seascape Governing Transboundary Fisheries Chapter 3: Ecosystem and Precautionary Approaches to International Fisheries Governance: Beacons of Hope, Seas of Confusion and Illusion Chapter 4: Observations on Compliance and Enforcement and Regional Fisheries Institutions: Overcoming the Limitations of the Law of the Sea Part Two: Pacific Bilateral and Regional Case Studies Chapter 5: The Pacific Salmon Commission Chapter 6: Canada's Pacific Fisheries Agreements: Halibut, Hake, Tuna, and Salmon Outside 200 Chapter 7: The Western and Central Pacific Fisheries Commission: Management Challenges and Development Imperatives Part Three: Atlantic Transboundary Arrangements Chapter 8: Canada-United States Bilateral Fisheries Management in the Gulf of Main: Struggling Towards Sustainability Under the Radar Screen Chapter 9: Canada and St. Pierre and Miquelon Transboundary Relations: Battles and Bridges Chapter 10: NAFO and ICCAT: The Implementation of Sustainability Principles and Practices in the Management of Straddling Stocks and Highly Migratory Species Chapter 11: The North Atlantic Salmon Conservation Organization (NASCO): Surpassing a 25 Year Voyage in Transboundary Cooperation but Still Confronting a Sea of Challenges Part Four: International Scholarly Perspectives Chapter 12: Achieving Ecosystem Management Across Political Boundaries: Key Challenges during the Bargaining Process Chapter 13: Port State Jurisdiction to Combat IUU Fishing: The Port State Measures Agreement Chapter 14: The Northeast Atlantic Fisheries Commission and the Implementation of Sustainability Principles: Lessons To Be Learned? Chapter 15: The Role of the European Union in Regional Fisheries Organizations Chapter 16: Performance Reviews of Regional Fisheries Management Organizations Chapter 17: Allocation of Fishing Opportunities in Regional Fisheries Management Organizations: From Power to Law? Conclusion Chapter 18: Challenges and Future Directions in Transboundary Fisheries Management: Concluding Reflections
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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 | 0.013 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.021 | 0.032 |
| Scholarly communication | 0.024 | 0.016 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 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".