Trans- and interdisciplinary research - Running a Graduate Research School across the Atlantic Ocean
Bibliographic record
Abstract
Understanding ocean and atmosphere dynamics in the Atlantic Ocean is the goal of the HOSST-TOSST Research school "Transatlantic Ocean System Science and Technology“. At the heart of the project is the introduction of science work across topics of the North Atlantic Ocean System. Our goal is motivating the young researcher to consider and engage with various aspects of ocean research beyond their own special field of research. For this we have established a weekly seminar series with video system support. It allows us to stay in contact even with an ocean between us. Being able to stay in contact, we meet once a year in person in a joint summer school, setting up topics outside the immediate research areas and have all participants work in small groups. Co-supervision of doctoral thesis and extended research exchanges at the partner University, working with the co-supervisors research group, are fundamental for the full transatlantic research experience. The poster and our presence will give interested persons the chance to learn from our experience how to enable a good group dynamic in the research school. Providing the basics for the best interdisciplinary research. Come and learn from our experience of establishing a dynamic research network across the Atlantic.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.025 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.046 | 0.017 |
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".