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Record W2574595540

Петербургский квартал: пространство и мир

2015· article· ru· W2574595540 on OpenAlexaboutno aff
Козырева Елена Ивановна

Bibliographic record

VenueВестник Санкт-Петербургского университета. Серия 15. Искусствоведение · 2015
Typearticle
Languageru
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)GeographyUrban planningArchitectural engineeringUrban morphologyObject (grammar)ArchitectureArchaeologyCivil engineeringEngineeringComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The article presents arguments about the nature of urban planning and spatial phenomenon — St. Petersburg quarter. Dense arrays of quarters form the architectural “body” of historical districts of St. Petersburg. However, each quarter is a unique spatial environment based on a planning module and rules of morphology. The inner spaces of the quarters are a fantastically complex and varied part of the urban landscape, which is now the object of conservation and transformation. Analysis of the evolution of the St. Petersburg quarters reveals the relationship between the urban planning processes, architectural concepts, morphology and inner life of the microcells of the urban space. The structural similarity and architectural uniqueness, sustainability and the ability to develop embodied in the “genetic code” of the quarter is the basis of the genesis of the urban fabric and landscape, the preservation of identity in new contexts.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.031
GPT teacher head0.206
Teacher spread0.174 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

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