Technological approach to environmental greening of large cities
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 relevance of this article is due to the fact that the improvement and greening of large cities is the most important sphere of activity of the municipal economy. It is in this area that the conditions are created for the population, which provides a high standard of living. Thus, conditions are created for a healthy, comfortable, comfortable life for an individual at the place of residence, and for a larger mass of residents of the city, district, quarter, micro district. When carrying out a set of measures, they can significantly improve the environmental condition and appearance of cities and towns; create more comfortable microclimatic, sanitary and aesthetic conditions on the streets, in residential apartments, public places (parks, boulevards, squares, etc.). The implementation of the project proposed in the article will allow the self-government bodies and housing and communal services to improve the efficiency of works on urban greening, to provide an opportunity for agricultural organizations and horticultural farms to carry out work on tree transplanting and land cultivation using an accessible (mobile) unit.
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 | 0.000 |
| 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