ОРГАНИЧЕСКОЕ СЕЛЬСКОЕ ХОЗЯЙСТВО: РЕАЛИИ И ПЕРСПЕКТИВЫ В КАЗАХСТАНЕ
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Green economy is one of the most important aspects of the country's sustainable economic development. The transition to green economy will allow Kazakhstan to achieve the set goal of becoming one of the thirty most developed countries in the world. The authors analyzed the Concept of green economy, one of its priority directions is the development of organic farming, which is currently a modern global trend. The size of the land areas allocated for the cultivation of organic products in the republic and regions of the world for a number of years is shown and comparative analysis is conducted. The number of Kazakhstani producers of environmentally friendly products and also in other countries of the world is presented. It was revealed that the leading States in this area are the USA, Germany, France and Canada. The organic market there has a pronounced export character. In countries where the organic sector is developed, the farms are members of environmental unions, and undergo certification and food labeling. Certification is not limited to quality control of goods and includes monitoring of land and the entire production process. Kazakhstan is creating a system of integrity and traceability of products of organic origin, contributing to the improvement of ecological balance, conservation of natural resources, maintenance of biodiversity, formation of a national brand with an emphasis on environmental friendliness, taking into account the increase in exports of domestic food products to other countries.
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.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.032 |
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 it