Rational Use And Regulation Of Resources In Agriculture
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
In the process of economic reforms in agriculture, a number of positive results have been achieved in improving market relations and mechanisms in the use of production potential in the agricultural sector. However, to date, the return on resources remains low due to the fact that the mechanism for improving the efficiency of the use of available resources in the agricultural sector is not fully adapted to the market. Therefore, it requires new approaches to the introduction of market mechanisms in this regard. At the same time, the lack of a long-term strategy for agricultural development hinders the efficient use of land and water resources, attracts investment in the sector, high incomes of producers and increase the competitiveness of products. In agriculture, as a result of declining crop yields and, conversely, rising costs, production ends with losses on most farms. The rapid increase in the share of a number of resources in the cost increase, in particular, mineral fertilizers, fuels and lubricants, technical costs, leads to an increase in the cost of production. Therefore, the issue of rational use of resources in the cultivation of products is one of the most pressing issues in the 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.
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 | 0.001 |
| 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 | 0.001 |
| 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 it