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Record W4221009586 · doi:10.51488/1680-080x/2022.1-06

INNOVATIVE APPROACHES IN DEVELOPMENT ARCHITECTURE OF MODERN RESIDENTIAL COMPLEXES (ON THE EXAMPLE OF NUR-SULTAN CITY)

2022· article· en· W4221009586 on OpenAlexaboutno aff
K.Y. Tabynbayeva, Gulnarа Abdrassilova

Bibliographic record

VenueBulletin of Kazakh Leading Academy of Architecture and Construction · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Industrial Development
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureQuarter (Canadian coin)Capital cityCapital (architecture)PoliticsPeriod (music)EconomyArchitectural engineeringEconomic historyEngineeringHistoryGeographyAncient historyPolitical scienceArchaeologyEconomic geographyArtEconomicsAesthetics

Abstract

fetched live from OpenAlex

The article discusses the features of the housing architecture formation of Nur-Sultan city for the period from 1997 to the present. The study revealed the influence of recent socio-economic, political and technological factors of the economy. Architectural and planning features of a modern dwelling in the conditions of a capital city are shown on the examples of residential complexes like «Highville Astana», «Azure Quarter», «Seasons», «Promenade Expo», «England».

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.088
GPT teacher head0.223
Teacher spread0.135 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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