Initiative to protect Canada's western boreal forest faces challenges from resource development
Bibliographic record
Abstract
Gary Stewart pointed on the map of Canada to a brown swath of western boreal forest that stretches from the border of Ontario and Manitoba, across four provinces and several territories, and up through Alaska. Canada's 2.0 million square kilometers of western boreal forest includes 20–30% of wetlands—bogs, fens, marshes, shallow lakes, and river deltas. The forest of spruce, aspen, poplar, and other trees historically has been heavily and naturally disturbed by fires. Until recently, though, this vast region was fairly undisturbed by human activity, according to Stewart, manager of conservation programs for the western boreal forest region for the non‐profit Ducks Unlimited Canada (DU). A 1986 North American Waterfowl Management Plan did not even include any perceived threats to Canada's western boreal forest, which DU says is the second‐most important waterfowl breeding area in North America, after the Prairie Pot‐holes region in Canada and the United States. The 13 million breeding ducks supported by the boreal forest are a primary reason for DU's interest, though the group's concern extend to habitat, wetlands, and other biodiversity
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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 | 0.001 | 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 | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".