Observations of Coywolves, <em>Canis latrans</em> × <em>lycaon</em>, Crossing Bridges and Using Human Structures on Cape Cod, Massachusetts
Bibliographic record
Abstract
I directly observed Coywolves (Canis latrans × lycaon; also called Eastern Coyote) successfully crossing over rivers/bays by traveling on paved (i.e., used by vehicles) bridges within their established territories. These data confirm that Coyotes/Coywolves use these narrow corridors in their travels, such as when colonizing new areas. I also report on breeding female, sick, and old Coywolves using human structures, including under overturned boats/canoes, under houses, and under sheds/decks. Breeding females (n = 3) used these sites as dens, and sick (n = 2) and old (n = 2) individuals used them for shelter.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".