Need for Government Regulation of Organic Foods
Bibliographic record
Abstract
The authors define the concept of demand and prospects of organic foods, identify problems and prospects forthe production of organic foods in Russia, exploring features of state regulation of the production of organicfoods in different countries and justify the need for state regulation of the production of organic foods in Russia.The authors analyze the results of a sociological survey of 1,000 residents of the Volgograd region in age from20 to 60 years, determine the structure determination of respondents concepts of organic foods, the structure ofthe respondents 'opinions on the importance of regular consumption of organic foods, the structure of therespondents' opinions regarding the price for organic food, the structure of respondents 'opinions on thepercentage excess of the price for organic food over the price of conventional products, the structure of therespondents' opinions on the proportion of organic foods in the structure of the family budget, identify the mainpurposes of the production of organic foods, especially compared to the state support for Organic Agricultureeconomy in the countries of Western Europe, as well as classify the main types of environmental standards.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".