RAZORBILLS (<i>ALCA TORDA</i>) FOLLOW SUBARCTIC PREY INTO THE CANADIAN ARCTIC: COLONIZATION RESULTS FROM CLIMATE CHANGE?
Bibliographic record
Abstract
We describe the occurrence and behavior of Razorbills (Alca torda) visiting Coats Island, Northern Hudson Bay, an area where sea-ice cover in summer has been much reduced since the mid-1990s. Coats Island is 300 km from the previous most-westerly breeding site for the species and nearly 2,000 km from the nearest large colony, in Newfoundland and Labrador. Razorbills appeared at Coats Island coincidentally with an increase in the delivery of Capelin (Mallotus villosus) and sand lance (Ammodytes spp.) to Thick-billed Murre (Uria lomvia) nestlings at the same site and disappeared when sand lance also disappeared. Razorbill populations are expanding in eastern North America, and this expansion may partly account for their dispersal. The ability of Razorbills to track changes in a preferred prey item well outside the boundary of their normal range suggests that this species is capable of adapting rapidly to climate change.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".