Canada’s 'Forgotten Forests': Or, How Ottawa is Failing Local Communities and the World in Peri-Urban Forest Protection
Bibliographic record
Abstract
The forests found in Canada's rapidly expanding urban fringes have been decimated by agricultural settlement and urban growth, yet they have been largely overlooked in Canadian forest policy debates. While these "peri-urban" forests fall mainly under provincial jurisdiction, this paper argues that the federal government has the authority and opportunity to negotiate a more active role for itself in this area. The paper assesses the federal government's track record of international commitments and domestic action on peri-urban forests, canvassing developments in six policy areas: general principles; forest conservation and management; biodiversity and endangered species; land securement and ecological gifts; climate change; and sustainable cities. In all these areas the federal government's international commitments relevant to peri-urban forests have been modest and its actions at home disappointing. The paper calls for a substantially enhanced federal role in peri-urban forest protection, with an emphasis on national coordination, strategic leadership and funding.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.050 | 0.030 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".