Transdisciplinarity in action: Co-Creating Ocean Literacy with Global Future-Shapers from Japan
Bibliographic record
Abstract
The workshop on Co-creation of Knowledge in Ocean Literacy, organized as an interactive session during the Tsukuba Conference 2025, was chaired by Zia Madani and co-organized by Margherita Paola Poto, with the collaboration of Caroline Bohrer, Youna McGowan, Dana Ahmed, and Claudia D'Andrea. Endorsed by the UN Ocean Decade, the session aimed to explore innovative ways of integrating Japanese principles into legal and ethical frameworks, treating the Ocean as kin. The workshop was divided into two parts. The first part featured an illustrative performance, inspired by the KlimaSeniorinnen ECHR decision and enriched by Japanese principles of Kami (spiritual essence), Satoyama (harmony between humans and nature), and Wa (peace and harmony). The story revolved around three characters: Plastic Bag (Plik), Judge Whale, and mount Tsukuba, with the audience acting as the Court of the Ocean. The narrative highlighted the interconnectedness of humans, nature, and the ocean, emphasizing the urgent need for sustainable practices. In the second part, the audience was invited to deliberate, co-create and expose a decision or law that wove together the three Japanese principles in a way that respected and treated the ocean as a living kin. This participatory activity encouraged creative thinking and fostered a sense of responsibility toward the environment, aligning with the goals of the UN Ocean Decade to promote ocean sustainability and stewardship. The workshop is also an implementing activity of the Ocean Incubator Network Learning Toolkit (https://doi.org/10.1007/978-3-031-78062-2) and a deliverable of the SDG Ocean Action Commitment: Ocean for All: Reimagining Justice with Love and Law.
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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 | 0.015 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.018 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.002 | 0.042 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".