O‘ZBEKISTON RESPUBLIKASIDA AGRAR SOHA FAOLIYATINING IQTISODIY RIVOJLANISH TENDENSIYALARINI STATISTIK USULLARDAGI TAHLILI
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
Ushbu maqolada O‘zbekiston Respublikasida agrar soha faoliyatining iqtisodiy rivojlanish tendensiyalari statistik tahlillar asosida o‘rganilgan. Mamlakatning asosiy hududlari bo‘yicha qishloq xo‘jaligi mahsulotlari, ayniqsa, dehqonchilik mahsulotlari yetishtirish ko‘rsatkichlari yillik o‘sish sur’atlari orqali tahlil qilingan. 2021–2024 yillar oralig‘idagi real statistik ma’lumotlar asosida ishlab chiqarish hajmi, tashkilotlar ulushi, resurslardan foydalanish darajasi, suv ta’minoti, va hududiy tafovutlar ko‘rib chiqilgan. Tahlillar natijasida agrar sohada mavjud muammolar aniqlanib, ularni bartaraf etish va sohaning barqaror rivojlanishini ta’minlashga qaratilgan amaliy takliflar ilgari surilgan. Tadqiqot yakunida ilmiy asoslangan xulosa va tavsiyalar shakllantirildi.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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