RECONSTRUCTION OF BUILDINGS AS A METHOD OF PRESERVING HISTORICAL BUILDINGS
Bibliographic record
Abstract
Reconstruction of buildings is an important method of preserving historic buildings, as it allows to combine the preservation of architectural and historical values with the needs of modern life. The preservation of historical and cultural heritage is a key strategic direction for the development of modern cities and a way of self-identification of peoples. Historic buildings, regardless of their functional, constructive and aesthetic qualities, allow us to pass on to future generations the material evidence of the past, the spirit of the era, and the unique atmosphere of cities. Modern urban planning policy, despite its offensive nature, provides for the maximum preservation of historic buildings and structures, their reconstruction, modernisation or renovation. The only way to avoid oblivion and destruction is to make full use of them. In today's world, countries' desire for cultural self-identification and interest in authentic architectural surroundings contributes to the preservation of not only unique buildings and structures listed in the registers of architectural and historical monuments, but also high-quality "background architecture" - second-plan architecture, inconspicuous, less valuable, but which is essential for the formation of the "image of the city". It is this type of building that most often becomes the object of active reconstruction. The purpose of the article is to explore the significance of the impact of historical buildings on the formation of the urban environment, to study the experience of reconstruction of historical buildings, and to show the possibilities of reconstruction as a method of preserving cultural heritage. For this purpose, the article analyses the practical principles of foreign experience in reconstruction, renovation, adaptation and modernisation of buildings and structures for various purposes - residential, public, industrial, and engineering. The article provides examples of completed projects for the reconstruction of residential (East Germany, Amsterdam, Bordeaux, Norfolk, Copenhagen, Paris), public (Berlin, Brisbane, London, Hanover, Hong Kong, Nuremberg, Venice) and industrial buildings (Barcelona, Riga, MontjuХre, Leshno, Villars de Dalt, Kyiv, Brooklyn, Roskilde, Brussels, Eindhoven, Lviv) and engineering structures (Bankside, Toronto, Dorset, Utrecht, London) that show a variety of architectural and planning techniques of reconstruction. The study of foreign and domestic experience in the reconstruction of buildings and structures expands the possibilities for the effective use of historic buildings, improves the methods of volumetric and spatial organisation of development, and prolongs the life of historic buildings.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".