ATLAS Deliverable 7.3: ATLAS Trans-Atlantic Conference Report
Bibliographic record
Abstract
North Atlantic EBSAs, VMEs and MPAs in a changing ocean - a one-day symposium Synopsis In the North Atlantic, the Atlantic Meridional Overturning Circulation (AMOC) is central to the flow of energy and elements through the ocean. However, significant gaps in our understanding of the links between large-scale oceanographic processes and living marine resources hinder the development of predictive models to account for changes in ocean conditions due to climate change and increased human activity. The ATLAS project (www.eu-atlas.org) is exploiting the vast in situ time series dataset provided by international oceanographic arrays to understand how climate and oceanic variability interact with human pressures to control ecosystem functioning, biodiversity, connectivity and goods and services. Twelve case studies located across the Atlantic are examining specific scenarios of ‘Blue Growth’ development to inform marine spatial planning approaches. An integral part of this work is to consider implications of change on sensitive deep-water ecosystems that have been identified as significant and/or vulnerable and thus worthy of protection. The focus is on waters 200-2000m deep and on the implications of change for Vulnerable Marine Ecosystems (VMEs), Ecologically or Biologically Significant Areas (EBSAs) and High Seas Marine Protected Areas (MPAs). This one-day symposium on 12 May 2018 was aimed at scientists, practitioners, policy makers and representatives of civil society with expertise and interest in the future of these area-based management tools (ABMTs) or situations that could support ABMTs in the North Atlantic, and took place in Montreal immediately before the 4th World Conference on Marine Biodiversity. Presentations highlighted emerging results from ATLAS, and the status of ABMTs informed by predicted shifts in ecosystem dynamics were reviewed. Discussions examined opportunities and processes for adaptive management, and formulated recommendations for future priorities and directions. A postscript explains how this discussion fed into subsequent policy fora and informed papers published in 2019.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.336 | 0.275 |
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".