Long-eared Owls Usurp Newly Constructed American Crow Nests
Bibliographic record
Abstract
Long-eared Owls (Asio otus) use old nests of other birds (Marks 1986); however, I found no reports of Long-eared Owls using newly constructed nests of other birds.Here, I document three instances of Long-eared Owls usurping newly constructed American Crow (Corvus brachyrhynchos) nests, and three additional instances of owls nesting in close proximity to crows.My observations were made during a study of crows near Minnedosa in southwestern Manitoba, Canada (Sullivan 1988, Sullivan and Dinsmore 1990).I found six Long-eared Owl nests in 1986, five in 1987, and one in 1988 while searching woodlots for crow nests during April-June.I made no special efforts to locate or monitor owl nests.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".