The status of the Eastern Phoebe ( Sayornis phoebe ) in Cuba
Bibliographic record
Abstract
The Eastern Phoebe ( Sayornis phoebe ) is a common migrant that breeds in Canada and the USA and winters throughout the southeastern USA and northern Mexico. Apart from the Bahamas, few records for this species exist in the Caribbean region. Currently, a total of eight records are known from Cuba, occurring principally during late fall, after the passage of strong cold fronts, during severe winters throughout the species’ core wintering range, or both. Sayornis phoebe es un migrante comun que nidifica en Canada y Estados Unidos e inverna a lo largo del sudeste de los Estados Unidos y el norte de Mexico. Aparte de en las Bahamas, existen pocos registros de esta especie en la region del Caribe. Actualmente, se conocen un total de ocho registros en Cuba, principalmente a finales del otono, luego del paso de los fuertes frentes frios, durante los severos inviernos a todo lo largo del nucleo del rango invernal de esta especie o en ambos momentos. La Moucherolle phebi ( Sayornis phoebe ) est un migrateur commun qui niche au Canada et aux Etats-Unis, et hiverne dans le sud-est des Etats-Unis et le nord du Mexique. Il existe peu de mentions de cette espece dans la Caraibe sauf aux Bahamas. Actuellement, l’espece a ete mentionnee huit fois a Cuba, principalement a la fin de l’automne apres le passage de forts fronts froids ou lors d'hivers rigoureux dans les principales zones d’hivernage de l’espece, ou au cours des deux periodes.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".