Status, Condition, and Movement Patterns of Red-breasted Nuthatches in Anchorage, Alaska, 1990-1995
Bibliographic record
Abstract
I studied the migration, body condition, and age and sex demographics of Red-breasted Nuthatch (Sitta canadensis) populations in Anchorage, Alaska, from 1990 -1995.Red-breasted Nuthatches are a recent addition to the avifauna of much of Alaska.Presumably, habitat change and climate change are ameliorating conditions near the northern range limits for this species.The sampled population (n = 94) included 73.5% migrants and 20.2% winter residents and winter visitors and was dominated by males (64.9%).Winter residents showed a high degree of site fidelity between years.Fall migration occurred from mid-Jul to mid-Sep and peaked from 22 Aug -3 Sep.Over-wintering birds returning from previous years arrived before the onset of peak migration.Mean body mass was 11.16 g (n = 164) before midday and 11.52 g (n = 178) after midday.Mean body mass for all individuals at all times of day did not vary much by month (range = 11.1 g in Sep to 11.9 g in Apr).Migrants and wintering birds gained mass at a rate of 0.07 ± 0.02 -0.03 g/hr from dawn to dusk.Maximum fat accumulation occurred Dec -Feb, and minimums occurred Apr -Jun.Peak body molt (ventral tract) occurred in Jul, with heavy molt persisting into Aug and moderate molt persisting into Oct. Heavy and moderate capital tract molt occurred 20 Aug -3 Oct. Apparently, most adult rectrix and remige molt occurred on the breeding grounds before fall migration commenced.Mean adult wing and tail length are larger in Anchorage than elsewhere in North America.The data suggest Red-breasted Nuthatches migrating through Anchorage were produced locally, rather than from irruptions from Canada or elsewhere in Alaska.
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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 | 0.000 | 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) | 0.001 | 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".