British Columbia's Southern Interior: Badger Wildlife Habitat Decision Aid
Bibliographic record
Abstract
Under the Forest and Range Practices Act, forest and range licensees in British Columbia are required to develop Forest Stewardship Plans and manage their operations to maintain limiting habitats of Identified Wildlife within their tenures. North American badgers (Taxidea taxus) are large members of the weasel family that are a Species At Risk within the Identified Wildlife Management Strategy (IWMS) and are listed as Endangered by COSEWIC. Several aspects of their ecology make them susceptible to forest and range management activities, including their dependence on the grassland, open forest, and modified forested habitat that supports their prey. This Wildlife Habitat Decision Aid (WHDA) summarizes the latest scientific and experiential information that forest and range managers, including silviculture planners, operational foresters, and ranchers, need to consider when managing for badger habitat requirements. This information was obtained through a literature review and discussions with researchers studying badger ecology in British Columbia.The WHDA format has been used to convey information on factors requiring consideration when managing forests and range in British Columbia for specific wildlife species. This WHDA provides information on habitat features needed by badgers for reproductive dens, resting sites, and foraging habitats; biogeoclimatic zones where badgers occur; and considerations when conducting harvesting, silviculture activities, or livestock grazing in badger range. We provide a map of the distribution and list the biogeoclimatic zones in which badgers occur to help users identify where to apply management considerations. Also included is a valuable resource and reference list that contains more detailed information. Most reference material that is not available online can be ordered through libraries.
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 | 0.001 | 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) | 0.002 | 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".