Translocation as a Promising Tool to Aid Recovery of Badger Populations
Bibliographic record
Abstract
Abstract: The subspecies of American badger1 that occurs in British Columbia (Taxidea taxus jeffersonii) is on the provincial Red List, and is listed federally by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) as Endangered. Within the East Kootenay Trench, the badger population in the Kootenay River valley appears to be stable to possibly increasing slightly, but that of the upper Columbia River valley has approached extirpation. It is not clear whether trends in the upper Columbia are a product of a long-term loss in the area’s ability to support badgers, suggesting that recovery would be unlikely, or simply the result of random events in a low-density population, indicating that recovery is possible under appropriate conditions. As a means of fast-tracking population recovery while testing the area’s ability to support a recovering population, we translocated badgers into the upper Columbia valley. During the summers of 2002 and 2003, we radiotagged and translocated 15 badgers from the Kalispell, Montana area that were of the same subspecies and were genetically similar to those in the East Kootenay. These included seven adult males, four adult females, two juvenile males, and two juvenile females. As of December 2003, at least three of the seven badgers released in 2002 were alive, one had died of unknown causes, and three could no longer be radiolocated. One of the live
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".