ECOCARE Wrap-Up and UN Ocean Decade Blue Catalyst (bLYSs) Kick-Off
Bibliographic record
Abstract
This report documents the International Workshop on Empathy, Compassion and Care, organised to celebrate the completion of ECOCARE (HKDIR UTF-2020/10084) and to reflect on the many connections established over the past five years of the project, between Norway, Brazil, and beyond, through research and education on water rights and governance. The event took place on 24–25 September 2025 at Árdna, the Sámi cultural building of UiT The Arctic University of Norway. The workshop was led by Margherita Paola Poto, Giulia Parola, Emily Murray, Youna McGowan, and Annamaria Bonomo, and was attended by over twenty participants. Structured over two days, the programme followed the three pillars of ECOCARE, Empathy, Compassion, and Care, as the keys to re-read participatory rights (access to information, participation, access to justice). The two-day programme consisted of three interactive one-hour sessions exploring the interactions between emotions, law and water and the implications of applying empathy, compassion and care as a legal methodology. These sessions provided opportunities for participants to connect through positionality exercises, co-creation, food and storytelling. Throughout the workshop, team members collaborated in groups to co-create activities, fostering creativity and exchange. The event concluded with the launch of the newest UArctic Project, the Ocean Decade Blue Catalyst (bLYSs) (580512127). The second day was dedicated to some concluding remarks and ways forward on care, followed by a series of presentations by Brazilian researchers and students. The outcomes of the workshop are expected to extend beyond the event itself, with a scientific publication planned for 2026, fostering international partnerships and inspiring the continuation of the impactful work initiated by ECOCARE.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.012 |
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".