Staging, Migration, and Winter Distribution of Canada and Cackling Geese Staging in Interior Alaska
Bibliographic record
Abstract
The breeding stock composition and ecology of Canada (Branta canadensis) and cackling (B. hutchinsii) geese, collectively white-cheeked geese, staging in interior Alaska and wintering in the Pacific Northwest is poorly understood. We captured, measured, and applied neck collars to white-cheeked geese during spring and fall staging near Fairbanks and Delta Junction, Alaska, USA, to study their breeding stock composition, migration, and winter distribution. We measured exposed culmen, flattened wing chord, total tarsus, and body length of geese staging in interior Alaska to assist with determination of breeding stock. The first principal components, as well as a univariate measurement of exposed culmen, indicated geese trapped in Fairbanks in the fall were larger on average than geese trapped in Delta Junction in either spring or fall. We observed or recovered most of the banded geese detected in fall and winter in central British Columbia, Canada, central Washington, USA, and north-central Oregon, USA, east of the Cascade Mountains, with relatively few observations in western British Columbia, Washington, and Oregon. We found no evidence of movement between wintering areas on the east and west sides of the Cascade Mountains. Geese that we trapped during spring staging in Delta Junction were more often observed on the west side of the Cascade Mountains than geese trapped during fall staging in Fairbanks. Most (93%) geese trapped during fall staging in both Fairbanks and Delta Junction, however, wintered east of the Cascade Mountains. After-hatch-year (AHY) geese from interior Alaska staging areas observed on the west side of the Cascade Mountains were structurally smaller on average than AHY geese observed on the east side of the Cascade Mountains. Our results indicate fall staging white-cheeked geese in Fairbanks were predominantly 1 breeding stock of white-cheeked geese, while fall and spring staging white-cheeked geese in Delta Junction comprised at least 2 stocks of white-cheeked geese. Based on our findings, we recommend separate harvest and management strategies be considered for small white-cheeked geese migrating through coastal and central British Columbia and wintering east and west of the Cascade Mountains in Washington and Oregon to avoid potential overharvest of independent breeding stocks.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".