Geoecological foundations strengthening the stability of the national system of protected areas of the republic of Uzbekistan
Bibliographic record
Abstract
This study analyzes the current state, spatial structure, and development prospects of the system of protected natural areas (PNAs) in the Republic of Uzbekistan, based on the objectives set by the Kunming-Montreal Global Biodiversity Framework (GBF). Structure, coverage and integrity of the existing network of PNAs in Uzbekistan determined significant disparities among them. The analysis of them confirmed that in the regions of Uzbekistan, the coverage of PNAs by the main IUCN categories (I, II, III, IV and V) is 1.5% in Namangan region, 0.2% in Fergana region, and 0% in Andijan region were analyzed. The formation of a system of protected natural areas in these regions is guided by scientific principles aimed at preserving biological and landscape diversity, improving the ecological situation, and ensuring the rational use of natural resources. To enhance the functionality, completeness, and integrity of the protected natural areas system in the Fergana Valley, proposals were developed for establishing PNAs types.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".