Bibliographic record
Abstract
The term blackbird loosely refers to a diverse group of about 10 species of North American birds that belong to the avian family Icteridae. The most common species include: Red-winged blackbird (Agelaius phoeniceus, Common grackle (Quiscalus quiscula), Great-tailed grackle (Quiscalus mexicanus), Brown-headed cowbird (Molothrus ater), Yellow-headed blackbird (Xanthocephalus xanthocephalus), Brewer’s blackbird (Euphagus cyanocephalus), and Rusty blackbird (Euphagus carolinus). They can cause damage to crops and fruits. Some of them may cause damage to livestock feed in feedlots and some of them may be a cause for concern in the future, due to the potential for disease transmission, with their expanding range. There is potential to amplify and spread disease to humans such as avian influenza although there is no evidence that this happened. Blackbirds are native migratory birds, and thus come under the jurisdiction of the Federal Migratory Bird Treaty Act (MBTA), a formal treaty with Canada, Mexico, Japan, and Russia. Blackbirds have federal protection in the U.S.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.009 |
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".