Monitoring colonial cliff-nesting seabirds in the Canadian Arctic: The Coats Island field station
Bibliographic record
Abstract
The Coats Island field station in northern Hudson Bay, Canada, was established by the Canadian Wildlife Service in 1984 to monitor the thick-billed murre ( Uria lomvia, akpa, [Formula: see text]) population in the context of harvest management and federal responsibilities under the Migratory Birds Convention Act. The long-term monitoring program has continued annually for 34 of the last 39 years, making it the most frequently monitored seabird colony in the Canadian Arctic. In the 1990s, the focus of efforts at the site shifted from population monitoring and harvest management to long-term monitoring of murres as an indicator of environmental change. In addition to informing harvest management of murres in Canada, long-term monitoring and research at Coats Island have helped to establish thick-billed murres as an indicator species for Arctic seabirds, identified major shifts in the marine prey communities of Hudson Bay, enabled the assessment of international agreements on reducing contaminants in Arctic wildlife, and improved the understanding of the effects of climate change on Arctic marine birds. Coats Island has developed into an essential research site for all aspects of murre ecology and served as a training site for new generations of Arctic ecologists.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".