Assessment of the dynamics of biodiversity of green spaces of Krasnoyarsk city
Bibliographic record
Abstract
Abstract In large Russian cities there is a significant decrease in urban plantations, which negatively affects the environmental situation. In recent years, there has been a growing scientific interest in assessing biodiversity of green spaces. As a result, the analysis of the dynamics of the number of trees and shrubs in urban areas is a very relevant and practical issue. The work is based on research results for 28 years. The object of research was the green space of the city of Krasnoyarsk. An analysis of the assortment of intra-quarter plantations and a survey of the territory of the quarters showed that mainly the decrease in the number of trees and shrubs was caused not by negative environmental factors, but by the point development of the territory. As a result, it can be stated that the dynamics of green plant biodiversity in the urban environment is caused by a number of processes that can be either negative (reducing plant resistance, decreasing area) or positive (increasing the assortment of plants, improving the quality of care for green spaces).
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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 | 0.003 |
| 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".