FEATURED PHOTO: THE SUBSPECIES OF THE SONG SPARROW ON SOUTHEAST FARALLON ISLAND AND IN CENTRAL CALIFORNIA
Bibliographic record
Abstract
The Song Sparrow (Melospiza melodia) is one of the most morphologically variable birds of North America. As many as 52 subspecies have been named, 39 of which were recognized by the American Ornithologists’ Union (AOU 1957) and Paynter (1970) from Canada, the United States, Baja California, and central Mexico. In the latest taxonomic revision of the Song Sparrow, Patten and Pruett (2009) recognized 25 subspecies. The subspecies vary from small and pale in the desert Southwest (fallax) to large and dark in the Aleutian Islands (maxima), with a wide range of intermediates and other variations. Although the Song Sparrow has little or no prealternate molt, the appearance of the basic plumage, especially in subspecies of more open and drier habitats, is affected by wear. The upperparts generally become paler (grayer or browner) and less distinctly streaked from fall to spring, while the underparts become whiter (less buff or brownish) and more distinctly streaked in spring. The subspecies are migratory to various degrees, with some being resident, while others are short-distance or medium-distance migrants (AOU 1957, Arcese et al. 2002).
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".