Progne subis
Bibliographic record
Abstract
Progne subis (MGT): breeds in Canada and the USA and overwinters in South America, mainly in Bolivia and Brazil (Turner, 2004). It migrates south across Central America, gathers in great numbers in the Manaus region/AM, and then flies especially to SP and MT (Antas, 1987; Sick, 1997). Recorded once in large flocks in interior SP but last seen in 1993 (Willis & Oniki, 1982). Geolocation data showed breeding in northern Pennsylvania, and that migration south started in late August in a non-stop flight to the Yucatán Peninsula,where individuals remained for 3 to 4 weeks before flying to overwinter in the Amazonian region (October to April). Another tracked individual flew even more during winter and reached the Pantanal region (according to a description in Antas et al., 1987. They departed from the wintering site in the first two weeks of April (Stutchbury et al., 2009). Individuals banded in the USA and Canada in June and July were mostly recovered in the Brazilian Amazon, especially in AM between October and April (Mestre et al., 2010). Large gatherings of the species were recorded for TO, reaching as many as 40,000 individuals (Olmos & Pacheco, 2008), especially in the regions of the Cantão State Park and in the city of Caseara between November and December in consecutive years (Pinheiro & Dornas, 2009), as well as in RO in October and from February to April, according to photographic records (WikiAves, 2016). In most Brazilian states (except for SC and RS), it can be observed between August and May (WikiAves, 2016) and in BA it arrives in mid-October and departs in March (P.C. Lima, pers. obs.).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".