Анализ опыта применения лесного законодательства в лесах Канады разных форм собственности
Bibliographic record
Abstract
Рассмотрено законодательство Канады в области управления лесным хозяйством в лесах разных форм собственности. Структура собственности на леса Канады представлена в разрезе провинций и территорий. Приведены основные формы владения лесными землями. Выявлены особенности управления лесами в провинциях с наиболее высокими показателями лесистости. Изучена система управления лесами с учётом особенностей каждой провинции. Рассмотрены применяемые типы разрешений на лесопользование. Перечислены полномочия и обязанности провинций и территорий в управлении лесами. Рассмотрены примеры из мировой практики по разделению функций управления лесными ресурсами. The article examines the legislation of Canada in the field of forest management in forests of different ownership forms. The structure of forest ownership in Canada is presented in the context of provinces and territories. The main forms of ownership of forest lands are given. The features of forest management in provinces with the highest forest cover rates are revealed. The forest management system is studied taking into account the features of each province. The types of permits applied for forest use are considered. The powers and responsibilities of provinces and territories in forest management are listed. Examples from world practice on the division of forest resource management functions are considered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.065 |
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; both teacher heads agree on what is shown here.
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".