Incorporating Diverse Perspectives into the Conservation and Management of the Sturgeon River Plains Bison Herd
Bibliographic record
Abstract
The Sturgeon River Plains Bison Herd (SRPBH) is one of only two wild, free-ranging, unfenced herds still inhabiting plains bison’s original Canadian range. The herd primarily occupies the sedge meadows and fescue grasslands in the southwestern corner of Prince Albert National Park (PANP), but seasonally ventures into adjacent landscapes, often causing damage to infrastructure and crops. Although various initiatives have sought to minimize the bison’s impact outside the park boundary, their activities continue to be a significant source of local conflict. Local landowners, eager to reduce property damage, enlist members of nearby First Nations communities to hunt the foraging bison. This has fostered a relationship that mitigates bison damage, cultivates social tolerance for the herd, and strengthens Indigenous-bison relations. However, the herd’s population has significantly declined over the past decade, and differing views on hunting persist. The future health and sustainability of the SRPBH remain urgent issues, tied to Parks Canada’s broader plains bison conservation efforts. Despite the SRPBH’s environmental and sociocultural significance, very little social science research has examined how the diverse stakeholders’ perspectives, interests, and concerns intersect and influence bison conservation and management in this context. My research will investigate how the conservation and management of the SRPBH can better incorporate these local perspectives, concerns, and interests. I will employ ethnographic methodology grounded in in-depth interviews and participant observation with key stakeholder groups to foster collaboration and equal representation in conservation policy and planning, as well as explore the potential for productive human-wildlife coexistence in these types of shared, multi-use landscapes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".