The #GoAtlanticBlue and the All-Atlantic Ocean Youth Ambassador Initiative to raise awareness of and promote the Atlantic Ocean
Bibliographic record
Abstract
The Atlantic Ocean Research Alliance was launched on the signing of the Galway Statement on Atlantic Ocean Cooperation between Canada, the European Union and the United States of America in May 2013. A request to raise the visibility of the Atlantic Ocean was made by the trilateral Galway Statement Implementation Committee. In answer, the #GoAtlanticBlue campaign was created and piloted in June 2019 alongside World Oceans Day as this highly visible way to raise the profile of the Atlantic Ocean in people’s everyday lives and promote a reconnection with the Atlantic Ocean. The #GoAtlanticBlue celebrating the Atlantic Ocean and our connections to it asked people and places to don blue garments, blue face paint, blue wigs and celebrate their connections whether they be livelihoods, inspiration, health and wellbeing or sustainable actions and developments for the ocean that could be celebrated. At night, the ask was to light up in blue and celebrate these connections. All were asked to share on social media. The success of this endeavour will be described and the next level of ambition will be discussed. Following on from the June event, in August 2019 an All-Atlantic Ocean Youth Ambassador summer school was held at the special request of the Healthy Oceans & Seas Unit at the European Commission DG Research and Innovation. The All-Atlantic Ocean Youth Ambassador initiative is supported by the All-Atlantic Ocean Research Alliance under the Galway Statement on Atlantic Ocean Cooperation and the Belém Statement on Atlantic Ocean Research & innovation Cooperation. 23 Youth Ambassadors participated in this event from 15 countries along and across the Atlantic Ocean. Three (3) campaigns types were co-created during this time under the umbrella of #MyAtlanticStory, #GoAtlanticBlue. These campaigns as well as the All-Atlantic Ocean Youth Ambassador Forum launched in Brussels in February 2020 will be described and their success to date shown.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.142 | 0.027 |
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".