AORA Working Group on the Ecosystem Approach to Ocean Health and Stressors: Mandates for Ecosystem-based Ocean Governance across Canada, the EU, and the US. March 2018, London UK
Bibliographic record
Abstract
The Atlantic Ocean Research Alliance Working Group on Ecosystem Approach to Ocean Health and Stressors formed a task group to explore the mandate/s for ecosystem based management (EBM) in the North Atlantic. The task group met 13-16 March 2018 in London and was comprised of an interdisciplinary mix of legal, political, administrative, and natural scientists/scholars from the three jurisdictions that signed the Galway Statement on Atlantic Ocean Cooperation (US, Canada, and EU). The task group workshop identified the major mandates that govern marine activities and the stressors that impact ocean health and condition. The overarching goal was to characterize, compare, and synthesize the mandates that govern marine activities and ocean stressors relative to facilitating EBM in the North Atlantic (national and international waters). The group also identified impediments to the incorporation of science into the management process, largely based on a cross-comparison of jurisdictional applications of mandates and highlighted benefits of improved implementation of existing mandates for EBM.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".