Transforming relationships with the ocean through science at Canada’s Bamfield Marine Sciences Centre – towards a new frontier for ocean science
Bibliographic record
Abstract
The Pacific Marine Science Alliance (PMSA) is a unique marine sciences partnership across five western Canadian universities (University of British Columbia, University of Alberta, University of Calgary, Simon Fraser University and University of Victoria) with a permanent base for marine and coastal-oriented field operations at the Bamfield Marine Sciences Centre (BMSC). Perched on the outer west coast of Canada, the BMSC is the epitome of realizing Dohrn’s vision to (1) provide unparalleled ocean access to remarkable biodiversity, (2) contribute to regional and global networks and collaborations, and (3) support the infrastructure and operations of modern marine stations. With support from the Canada Foundation of Innovation, the PMSA recently launched EMPOWER, a new research and training program to measure ocean weather and predict ecological response in near shore environments, in addition to a new marine science curriculum. In this talk I will highlight research opportunities for collaboration, and the role of PMSA for building and supporting Dohrn’s vision for ocean science globally.
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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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.017 | 0.012 |
| Scholarly communication | 0.021 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".