EPHEMERAL FOOD RESOURCES AND HIGH CONSPECIFIC DENSITIES AS FACTORS EXPLAINING LACK OF FEEDING TERRITORIES IN NORTHERN FLICKERS (COLAPTES AURATUS)
Bibliographic record
Abstract
If Northern Flickers (Colaptes auratus) defend feeding territories was investigated by examining home-range overlap, social interactions at foraging sites, and the predictability and subsequent defendability of their main food source, ants. Flickers did not defend feeding territories, foraging with conspecifics in 29% of observations without visible aggressive behavior. Mean (± SD) percent cumulative home-range overlap between radiotagged individuals was 50 ± 32%; competitor density was positively related to overlap. Rain and temperature extremes reduced surface activity of potential ant prey. Simulated foraging over time decreased the number of active anthills in plots when compared to controls. Food predictability and competitive pressure may act together to make territories uneconomical for flickers to defend.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".