Aerial Surveys of the Labrador Coast, 2006: Observations of Marine Bird Distribution and Abundance During the Breeding Season
Bibliographic record
Abstract
Very few large-scale studies of breeding marine birds have been conducted in Labrador. To address this information deficit, we conducted near-shore aerial surveys of the Labrador coastline between 6–11 and 21–26 June 2006. Our primary species of interest was Somateria mollissima (Common Eider), for which we counted only adult males. In total, we identified 8 species and 5 species categories (alcid colony, mixed tern and gull colony, etc). In total, we counted 40,700 birds, of which Common Eiders were the most widely distributed species, accounting for 88% of all flock/colony observations. Melanitta perspicillata (Surf Scoter) was the second most abundant species, but had a limited distribution, while Cepphus grylle (Black Guillemot) was the third most abundant species observed, but showed the second widest regional distribution. This information is valuable to resource managers and ecosystem researchers.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".