Breeding seasonality of the mangrove warbler ( Dendroica petechia bryanti ) from southern Mexico
Bibliographic record
Abstract
The Yellow Warbler (Dendroica petechia) taxonomic complex includes long-distance temperate-tropical migrants and year-round tropical resident subspecies.While life history traits of northern migratory populations have been widely studied, little is known from their tropical counterparts.Based on observations obtained during three consecutive years (2001)(2002)(2003), we provide baseline data on breeding seasonality of the Mangrove Warbler (D. p. bryanti) from southern Mexico.Breeding was quite seasonal, with clutches initiating each year during the latest portion of the dry season.The average date of clutch initiation was 18 May, but there was a significant annual variation resulting in a breeding season expanded over a period of three and a half months (mid April to end of July).Percentage of active nests was highest in May coinciding with peaks in food abundance.Arthropod abundance was not correlated with the amount of rainfall as abundance peaks occurred during the last portion of the dry season and dropped with the arrival of the rainy season.Annual variation in nesting and clutch initiation suggests that Mangrove Warblers might track changes in food availability as an environmental clue to adjust their timing of breeding.
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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 | 0.001 | 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".