Rare Feeding Behavior of Great-Tailed Grackles (Quiscalus mexicanus) in the Extreme Habitat of Death Valley~!2010-01-08~!2010-03-08~!2010-05-21~!
Bibliographic record
Abstract
During the twentieth century, the Great-tailed Grackle (Quiscalus mexicanus) underwent a rapid and largescale range expansion, extending its northern limits from Texas in 1900 to 21 states in the US and 3 Canadian provinces by the end of the century.This explosive growth correlated with human-induced habitat changes.To investigate adaptations that might explain their expansion into even extreme habitats, a small number of Great-tailed Grackles were observed in Death Valley, CA.We noticed that these birds displayed a rare feeding behavior, i.e. picking dead insects from the license plates of parked vehicles.All birds used the same technique in obtaining the food and the behavior was displayed by both males and females.It was estimated that this food resource has a major contribution to the daily food intake.No other bird species sharing the same habitat showed this behavior although American crows (Corvus brachyrhynchos) had the possibility to watch the Great-tailed Grackles behavior.
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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".