ASSESSMENT OF THE SOCIAL INFRASTRUCTURE OF THE URBAN DEVELOPMENT POTENTIAL USING GIS-ANALYSIS ON THE EXAMPLE OF TOMSK
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
This study presents the results of the application of information technology to assess the urban development potential of the territory on the example of the city of Tomsk. A two stages GIS analysis of the territory of a large administrative district of the city of Tomsk was carried out. At the first stage, an assessment was made of the needs of the territory of the Oktyabrsky District for social infrastructure facilities. The second step, based on the results of the assessment, was the procedure for finding a land plot for the construction of a general education institution (school) in the residential quarter. Information systems used to search for a land plot for school construction are described and analyzed. Prospects for the development of a GIS resource were identified, in which data on social infrastructure elements for the entire city of Tomsk and the Tomsk region will be combined in a map format using data from GIS analysis methods.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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