Managing Populations, Diseases, and Landowner Perceptions of Prairie Dogs for Black-Footed Ferret Reintroduction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The black-footed ferret (Mustela nigripes) is one of the rarest mammal species in North America. Captive breeding has prevented extinction of this species, but successful reintroduction of ferrets into their native grassland habitat is a complex endeavor. As specialist predators, ferrets depend almost exclusively on prairie dogs (Cynomys spp.) for both food and shelter, so successful black-footed ferret reintroduction hinges on maintaining large colonies of prairie dogs. However, prairie dogs are also considered agricultural pests and are often subjected to eradication programs. These eradication programs hamper efforts to reintroduce ferrets and disrupt the valuable ecosystem services prairie dogs provide in their role as both keystone and foundation species. Even when agreements are reached to maintain prairie dog colonies, plague (Yersinia pestis), which infects both prairie dogs and ferrets, can threaten the success of a ferret reintroduction program. We describe the research on the complex ecological relationships and socio-environmental challenges of reintroducing endangered black-footed ferrets, with a focus on the most abundant prairie dog species, the black-tailed prairie dog (Cynomys ludovicianus).
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.
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 it