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ARCHITECTURAL FEATURES OF RESIDENTIAL DEVELOPMENT OF THE FIRST POST-WAR DECADE IN BELGOROD

2023· article· en· W4384209151 on OpenAlexaboutno aff
L. Kachemceva, Ekaterina Leonidova

Bibliographic record

VenueBulletin of Belgorod State Technological University named after V G Shukhov · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ArchitecturePeriod (music)Work (physics)Urban planningGeographyWorld War IIArchitectural engineeringMeiji periodHistoryCivil engineeringRegional scienceEnvironmental planningArchaeologyEngineering

Abstract

fetched live from OpenAlex

The quarters of low-rise residential buildings of the first post-war decade in Belgorod form the basis of the architectural heritage of the “Stalin era”. This study is aimed at analyzing the architectural features of residential development in the first post-war decade in the city of Belgorod on the example of a block bounded by B. Khmelnitsky Avenue, Shevchenko and Parkovaya Streets. The study is based on an integrated approach, the work uses the methods of retrospective, urban planning, and compositional analysis. The features of the time period indicated in the work for the history of Soviet architecture and Belgorod as an urban entity are shown. The current state of the quarter and its location in the urban structure of Belgorod are considered. The role and place of the quarter in the transformation and further development of the planning structure of the city in the post-war period are determined. The composition of the space-planning construction of the quarter and the front of its development is analyzed. The features of the interaction of block development with its surroundings and terrain are determined. The article touches upon the development of standard projects of residential buildings and the technology of erecting buildings for mass development in the post-war period. The main series of standard projects and the design organizations involved in their development are indicated. The main typical projects of residential buildings used in the development of the quarter were identified. The structural, planning, compositional, architectural features of residential buildings of the quarter are analyzed.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.214
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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