Bibliographic record
Abstract
This article considers the irreducible indeterminacy of the coywolf and how this shapes human perceptions of the animal, as well as attempts to manage it. The hybridity of the coywolf matters very much to its interactions with humans, as well as the panic that has ensued over its evolutionary success. They are genetic and morphological intermediaries, an admixture of western coyote, eastern wolf, and dog. They hunt in packs like wolves but demonstrate a fearlessness to humans more common of coyotes. They thrive in urban or semiurban environs, moving along our highway, transit, and green space systems in search of food and shelter. I suggest it is the putative ferality of the coywolf—its margin—dwelling between urban and wild, between wolf and coyote—that disrupts our prevailing narratives about how, and on whose terms, animals can occupy the world. But it is also an animal that offers an opening to think about mutual flourishing. I contend this is a fruitful place to start tackling the questions raised by the Anthropocene, and reimagining all creatures as cotravelers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| 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".