Towards an All-Atlantic Ocean Research Alliance : key outcomes and conclusions from the All-Atlantic Ocean Research Forum : 6-7 February 2020
Bibliographic record
Abstract
Since setting sail on our common Atlantic Ocean journey together, we have made remarkable progress with our marine research and innovation cooperation. We have significantly progressed towards an All-Atlantic Ocean Research Alliance, which joins efforts undertaken with the signing of the European Union – United States – Canada Galway Statement on Atlantic Ocean Cooperation, and the European Union – Brazil – South Africa Belém Statement on Atlantic Ocean Research and Innovation Cooperation. The All-Atlantic Ocean Research Forum highlighted results and solutions for our citizens and communities from Antarctica to the Arctic produced so far by this cooperation, and plan the further implementation of the Galway and Belém Statements. During the Forum, the Atlantic community defined a vision of how it can strengthen its international cooperation to seize the opportunities and address the common challenges. A highlight of the Forum was the launch of the All-Atlantic Ocean Youth Forum by European Commissioner for Innovation, Research, Culture, Education and Youth, Mariya Gabriel. The Forum set a new strategic direction for the All-Atlantic Ocean Research Alliance, which can support the implementation of the UN Agenda 2030 for Sustainable Development, the UN Decade of Ocean Science for Sustainable Development and deliver on the priorities such as the European Green Deal, the Horizon Europe Mission Healthy Oceans, Seas, Coastal and Inland Waters and others.\n
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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 | 0.034 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.025 | 0.009 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.019 | 0.012 |
| Insufficient payload (model declined to judge) | 0.034 | 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".