Shared Visions, Shared Wildernesses: Wilderness Conservation in the Grasslands of Southern Saskatchewan
Bibliographic record
Abstract
Two centuries of hunting, agriculture and economic development have caused declining biodiversity and ecological integrity in the prairie ecozone of southern Saskatchewan. The environmental revolution that started in the 1970s brought a renewed vision to protect remaining wildlife and its habitat, and restore keystone mammals. NGOs and government agencies are acting as partners in this vision, and have been increasingly successful in working cooperatively with land-users such as ranchers, farmers and the water and energy industries. New conservation areas and new initiatives to reintroduce extirpated animals and their habitat offer hope to those who wish to see a new balance between prairie inhabitants and wild nature. However, conservation is not an exact science, and ‘fashions ’ and ‘agendas ’ exist, with inevitable debates about priorities. The article assesses the successes and limitations of these conservation initiatives in the Saskatchewan prairies, and
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".