Ocean Interconnectedness
Bibliographic record
Abstract
The overall aim of this report is to document the experience and knowledge gained during the interdisciplinary workshop coordinated by Giuliana Panieri and Margherita Paola Poto on Ocean Interconnectedness. This event, organized at UiT The Arctic University of Norway on the 19th and 20th of September 2023, served as a pivotal platform for the convergence of various project outcomes. It synergized the achievements of Akma2 Ocean Senses, which advances ocean literacy through multisensory toolkits, alongside the endeavours of ECO_CARE and Follow Your Heart, dedicated to fostering emotional and ecological education and research. This event marks the kick-off of The Ocean Incubator Network, a newly established network funded by UArctic. Moreover, this workshop welcomed insights and contributions from other projects and departments, including the School of Business and Economics at the UiT The Arctic University of Norway, The Deep Network Project, and The Thalassophile Project. Together, we aim to create a dynamic and comprehensive platform for the exchange of ideas, knowledge, and collaboration in the realm of ocean-related education and awareness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".