Translocation of southern mountain caribou using a soft-release technique
Bibliographic record
Abstract
Southern mountain caribou (Rangifer tarandus caribou, SMC) in British Columbia, Canada, are experiencing a precipitous population decline and range recession. In 2019, the two southernmost herds, the South Selkirks and the Purcells-South herds, were functionally extirpated and facing imminent extinction. To rescue the remaining animals, a translocation into the Columbia North herd range was performed using a soft-release method. The translocated animals were released alongside a captive-reared yearling and a resident adult female from the Columbia North SMC herd. A comparison of habitat selection behaviours at the 2nd order of selection demonstrated that the released animals responded to habitat and elevational conditions similarly to resident caribou. The translocation and soft release of Purcells-South and South Selkirks individuals demonstrates that soft release of wild translocated and captive-reared SMC can be successful and should be considered where and when feasible.
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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 | 0.000 | 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) | 0.003 | 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".