Food Preferences of Red-Headed Woodpeckers (Melanerpes erythrocephalus) and the Relationship with Season Change
Bibliographic record
Abstract
Red-headed woodpeckers (Melanerpes erythrocephalus) used to be easy to find out in the wild, but as humans encroached on their habitats, their populations started to become impacted. They have a habitat range from Southern Canada down to the Gulf Coast. In several states their numbers are threatened due to loss of habitat. Red-headed woodpeckers prefer to live in open woodlands with dead, or dying, trees to nest in. As humans take away the dead trees from the forests, red-headed woodpeckers are losing their nesting sites. Preservation of red-headed woodpecker habitats are needed to ensure the population starts to grow, and the numbers go from the “threatened” level to more stable levels. In order to preserve red-headed woodpecker habitats, knowing their food preferences is useful. The purpose of this study was to determine if red-headed woodpeckers had a preference when it came to food and if that preference changed as the seasons changed. Photos of red-headed woodpeckers foraging on food items not from bird feeders were collected from macaulaylibrary.org. After analyzing 18,400 photos it was determined that red-headed woodpeckers prefer to eat nuts over any other type of food that was observed. As the seasons go from warm to cold, there is a decrease in the percentage of animals forged on.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".