Some issues of the modern regulatory and legal security of industrial hemp grawing
Bibliographic record
Abstract
This article analyzes the international experience of forming a legislative framework in the field of hemp circulation. The primary source of its formation was the Single Convention on Narcotic Drugs (1961), which recognized hemp as a dangerous drug. However, it also states that it does not cover the use of hemp for obtaining fiber and seeds. In recent years, thanks to scientific and technical progress, both varieties of hemp, which are not capable of narcotic excitement, and the raw materials produced from them have been widely introduced in various areas of production. The rapid development of scientific thought and technologies necessitated the improvement of the legislative framework of the hemp industry. Activities with hemp are most fully and comprehensively regulated in the legislation of Canada, Great Britain and other countries. First of all, the term “industrial hemp” was used to denote drug-free varieties of hemp, which must be introduced into the domestic practice of hemp cultivation. In addition, a clear differentiation of requirements for activities with narcotic drugs, cannabis, and industrial hemp has been established at the legislative level, and an exhaustive list of controlled parts of the hemp plant is added to the term “cannabis.” Cultivation of industrial hemp is regulated by a separate law, which is removed from the scope of the laws on the circulation of narcotic drugs. It was determined that domestic legislation on the cultivation of industrial hemp intended for the production of fiber, seeds and the production of other products with a tetrahydrocannabinol content in the dry mass of no more than 0.08% should be based on the best international experience in this field and establish clear requirements for the areas of activity with hemp raw materials with a differentiated licensing system.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".