Bibliographic record
Abstract
oreal and Arctic birds of many species are in decline throughout the Region, and researchers are searching for ways to monitor populations in the North.The Yukon is fortunate to have a relatively long-running banding station at Albert Creek on the Liard River: this is the heartland for boreal songbirds in the Ierritory, and Albert Creek offers an ideal opportunity to understand migration for a wide variety of species.In Whitehorse, biologists have begun to monitor the annual fall staging of Rusty Blackbirds, with small numbers being color-handed.Additionally, species such as Lesser Yellowlegs, Solitary Sandpiper, and Rusty Blackbird are now being recorded on long-term waterfowl surveys.Shorebird breeding surveys are being expanded across the boreal, taiga, and Arctic in Northwest Territories and the Yukon.In Nunavut, ongoing population studies have focused on seabirds, including recent surveys of Ivory Gull breeding colonies on Ellesmere Island.Our special essay here reports on continuing increases in Trumpeter Swan populations.It is our greatest hope that we can one day make such positive reports for the many other boreal and Arctic species that are currently in decline.Weather throughout the Region was fairly typical, with freeze-up on smaller lakes by mid-October and on larger lakes and rivers by the end of November.In Northwest Ierritories, temperatures during the fall period were close to seasonal norms, but precipitation was above average, especially in September, keeping water levels high in the region's rivers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.488 | 0.198 |
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".