The Future Station: Sustaining Multidisciplinary, Community-Engaged Research, Teaching and Outreach at the Bonne Bay Marine Station
Bibliographic record
Abstract
The Bonne Bay Marine Station (BBMS) is a prize asset of Memorial University. It actively contributes to the three University pillars: Research, Teaching and Engagement. Bonne Bay -- a small fjord on the west coast of Newfoundland at the base of the Great Northern Peninsula and in the heart of Gros Morne National Park -- is ecologically unique. It has a very wide number of marine habitats and species, ranging from sub-arctic to temperate. In 1969, because of this, the BBMS was established to take advantage of the exciting opportunities for marine research that it presented; at that time, it carried out research and training in marine biology. In 2003, with funding from the Atlantic Canada Opportunities Agency (ACOA), the province and Memorial University, the new station was transformed into a community-partnered institution with a formal mandate for public outreach. The new BBMS and its mandate were designed to support the development of the local economy, including tourism. As a result, the BBMS now offers a marine ecology field school with multiple courses that run between April and September. In 2011 it attracted almost 11,000 visitors who came to tour the visitors centre.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.010 |
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".