Uniting hearts and lands: advancing conservation and restoration across the Yellowstone to Yukon region
Bibliographic record
Abstract
In view of the escalating anthropogenic impacts of climate change, habitat loss, and fragmentation, a broad consensus within the science community has identified large landscape conservation as critical to the future of nature and humanity. Recent commitments made at a global level offer an unprecedented opportunity for the conservation of biodiversity, particularly inasmuch as Canadian and US policies are aligned, ambitious, and clearly focused on ensuring that conservation work respects and supports the rights of Indigenous Peoples. These commitments align with and support the Yellowstone to Yukon (Y2Y) mission of connecting and protecting the 2,100-mile-long Yellowstone to Yukon region for people and nature to thrive, with the predominant approach of working with local communities and Indigenous Peoples to advance enduring conservation. Since the inception of the vision in 1993, significant progress has been made as indicated by the expansion of protected areas by more than 80 percent, the recovery of some species such as grizzly bears and wolves, and the ecological restoration of key lands across the region. While 25 percent of the Yellowstone to Yukon region is already managed or co-managed by Indigenous Peoples, today Indigenous Peoples are increasingly asserting their leadership and driving forward new restoration and conservation. New Indigenous-led conservation brings critical energy and visions that advance the Y2Y mission and arguably is a model for other parts of the world committed to achieving the 2030 UN Global Biodiversity Framework.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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 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".