Habitat selection and migratory connectivity of a Neotropical migrant songbird
Bibliographic record
Abstract
Addressing population declines in Neotropical migratory birds requires information on breeding demography and connectivity throughout the annual cycle.For species breeding in North American riparian habitats, anthropogenic changes to breeding habitat and indirect carry-over effects from the previous winter can both influence demographic rates.I examined whether a human-altered floodplain was an ecological trap by assessing habitat preferences and their reproductive consequences for yellow warblers (Dendroica petechia).I found that male settlement patterns were positively related to habitat cues that predicted breeding productivity, suggesting that extant riparian habitat was not attracting birds to poor quality sites.I then used stable hydrogen isotopes (δD) to show that warblers moulted some feather blocks on breeding grounds and others during their tropical overwintering period.Assignment tests using δD values in winter-grown feathers showed that most individuals originated from regions throughout Central America.However, interannual variation in isotope signatures limited further assignment accuracy.
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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 | 0.000 | 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".