Developing a Transboundary Management Strategy for a Free-ranging Plains Bison Population
Bibliographic record
Abstract
Abstract: The Sturgeon River plains bison (Bison bison bison)1 herd is the only free-ranging population of plains bison within the species ’ historic range in Canada. The population currently numbers approximately 320 and ranges predominantly within the southwest corner of Prince Albert National Park. For the last several years, small numbers of bison have forayed outside the park boundaries for varying stretches of time; however, these numbers increased significantly during the winter of 2004 when over 40 bison spent at least two months in a neighboring hay field. The usual bison summer range within the park is adjacent to an area outside the park that is used for mixed agricultural activity ranging from grain farming to traditional livestock operations and game ranching. Crop depredation and fence damage by free-ranging bison occurs but is limited, and at current levels, is generally tolerated by local landowners. The bison population continues to grow rapidly; hence, a proactive management strategy is being developed to maintain stakeholder support for the long-term conservation of a regional free-ranging plains bison population that is subject to natural processes and selection, and to mitigate potential conflicts associated with conserving this population. A team representing local, regional, and national perspectives and interests is developing a
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".