Alcid Patchiness and Flight Direction Near a Colony in Eastern Newfoundland
Bibliographic record
Abstract
Topographic features, including shape of the coastline and shape of the bottom, generate spatially predictable flow gradients that can concentrate seabird prey.We hypothesize that bathymetrically induced flow gradients influence the distribution, flight orientation, and patch scale of foraging alcids around colonies.Two potentially important sites were identified from hydrographic charts of the waters around the colony at Witless Bay, in eastern Newfoundland.One site was a bank 70 km southeast of the colony.The second was a strip of high topographic relief running along the western margin of the Avalon Channel, which carries the inshore branch of the Labrador Current southward past the colony.Surveys in 1985 showed that murres (primarily Common Murres, Uris aalge) and Atlantic Puffins (Fratercula arctica) were present in abundance at the offshore bank.Both species brought fish to the colony from this bank.Surveys also showed that the abundance of murres and puffins was greater along the coastal strip south and north of the colony than at similar distances east of the colony.Surveys in 1987 showed that murres and puffins on the water were aggregated at the scale of the first internal Rossby radius, which is the characteristic scale of flow gradients at water mass boundaries (fronts).Our results suggest that multiple rather than single focus spatial models are required to describe the foraging behavior of colonial &ids.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 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".