Current state of agriculture in the republic of Uzbekistan and the need for improving the efficiency of agro-clusters in the fruit and vegetable industry
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
Abstract The article provides a basis for the need to reform the agricultural sector of Uzbekistan in general, and its fruit and vegetable industry in particular. The main problems faced by the agricultural sector of Uzbekistan were the high costs of collection, transportation, storage, processing, packaging and certification when delivering products from the field to end-users. Limited processing and packaging capacity of farms, which produce the bulk of fruit and vegetable exports in Uzbekistan, leads to significant losses. It should be noted that the share of agro-clusters in the markets of developed countries (European Union, USA and Canada) exceeds 40%, and in Uzbekistan this direction is only developing. In this regard, the article used the following tasks: to study the theoretical basis for the creation of agro-clusters to analyze the current economic situation in the country, to make recommendations for the creation of agro-clusters in fruit and vegetable products. Industry of Uzbekistan.
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) | 0.000 | 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