Bibliographic record
Abstract
The subject of this research is the legal regime of natural resource management in the Canadian Kingdom as an example of one of the best sectoral practices of legal regulation of natural resource usage. Analysis is conducted on the normative legal acts that regulate rights to natural resource usage, delimitation of jurisdiction to “central” and “regional”, management in the area of natural resource. The object of this research is the natural resource usage relations in Canada. Special attention is given to the licensing of Canadian natural resource usage, determination of the types of licenses, and procedure of licensing. The author examines the relevant topics of taxation and fiscal stimulation of natural resource users, foreign investment, geological exploration, national and local legislation, right of indigenous peoples to natural resources, etc. The scientific novelty consists in demonstrating the current “picture” of legal regulation of natural resource usage in Canada. On the example of this kingdom, as the subject of right to ownership and use of resources, the author suggest considering an allotted plot of resources within its boundaries, while unallocated plots of resources should be counted as part of a single reserve of undistributed land (single object of law). The author proposes to conduct a mass geological survey of the Russian shelf in accordance with the Canadian model, implementation of the practice of attracting foreign investments, tax incentives, resource rent for the Russian citizens through legal construct of retirement savings, application of corporate restrictions following the example of Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".