Biodiversity and Conservation: Cross-Border Legal and Regulatory Perspectives
Bibliographic record
Abstract
This chapter provides an overview of the legal and policy frameworks for the protection of threatened and vulnerable wildlife on private lands in Canada and the United States, the approaches adopted in different jurisdictions and the response of key constituencies, and formulates recommendations based on these experiences. Canada and the United States serve as an important source of comparison in terms of biodiversity protection mechanisms for several reasons, ranging from geography and legal systems protections to shared economic concerns and development. Additionally, the shared fundamental dichotomy between governance at the national/federal level and the provincial/state level is a key area of comparison since there are many overlaps in these elements of governance across systems. At the same time, these relationships are governed subject to different forms of legal imperatives given the nature of articulated national and subnational powers and roles in Canadian law and the Constitution of the United States. Since both systems give primacy of place in law and regulation related to biodiversity and associated resources to the national/federal level, any comparisons must start at this level.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.019 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 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".