Konstrukční soustavy a prostorové charakteristiky panelových sídlišť v Brně
Bibliographic record
Abstract
Poster presented at the WORLD MULTIDISCIPLINARY CONGRESS on Civil Engineering, Architecture and Urban Planning conference. Approximately a quarter of the Czech population lives in panel housing estates. Despite such a large residential structure, some data are difficult to trace. The article focuses mainly on panel housing estates in Brno. It aims to make the available data (Czech Statistical Office, cadastre, vector data, etc.) more transparent, even in graphical maps. The panel housing estates Kohoutovice, Lesná, Starý and Nový Lískovec, Vinohrady, and Komárov are described. The selection was based on the maximum possible variety of urban structures and constellations. The main topic of the text is the structural systems of Brno's panel housing estates (Series G, T0xB, VVÚ-ETA, B70, OP, etc.), and their impact on the form of public space is examined. Among other things, the ratio of built-up and unbuilt-up areas, the percentage of transport, greenery, and the representation of public amenities within a particular panel housing estate were investigated. It also describes the possibilities of adaptation of a specific structural system and the extent of current reconstructions in a given panel housing estate. On the scale of an apartment (layout changes), an apartment building (extensions, additions), and the whole housing estate (adaptation to increased traffic load, etc.). The most widely observed reconstruction element is the addition of higher floors, mainly in Brno-Kohoutovice. The ownership structure is also described as houses and public spaces, where the owner can be either a private owner (residents of the house, co-owners, or investors) or public ownership (the city or municipality). Among the individual settlements, it is possible to observe, for example, the highest percentage of green space, the highest average number of flats in an apartment building, or the highest percentage of urban land. A trend abroad and slowly in the Czech Republic is the comprehensive revitalization of panel housing estates in terms of buildings and public space. Data can indicate the potential development of panel housing estates and the future usability of individual construction systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".