Forest conservation through protection of old growth: the case of Nova Scotia
Bibliographic record
Abstract
Old-growth forests are both rare and special ecosystems across most of the world. Policies to protect and possibly enhance and increase them are plentiful and diverse across nations and sub-national jurisdictions. Nova Scotia has had a policy on conservation of old-growth forests on public lands in the province since 1999. The second such policy dated 2012 was recently replaced by a revised policy in 2022. After presenting knowledge based on selected scientific literature about old-growth forests in Nova Scotia, the paper describes the improvements made in the 2022 policy. These include: (a) a more-nuanced set of operational definitions; (b) a commitment to protect all old-growth forest on public lands, whether currently identified or not; (c) robust replacement provisions in the rare event that the provincial government chooses to allow provincially significant infrastructure to be built on public land supporting old-growth forest; and (d) a renewed commitment to work with private landowners on their aspirations to conserve old-growth forest. The new policy, adopted in August 2022, also contains a commitment to a public review and possible renewal by August 2027.
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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 | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".