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Record W4313554549 · doi:10.51461/pb.74.27

Revitalization of the quarter of the Medvednikov patrons in Irkutsk

2023· article· en· W4313554549 on OpenAlexaboutno aff
Pavel Pulyaevsky, Evgenia Pulyaevskaya

Bibliographic record

Venueпроект байкал · 2023
Typearticle
Languageen
FieldEngineering
TopicConstruction Management and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Function (biology)Center (category theory)Graduation (instrument)Cultural heritageEstateState (computer science)Competition (biology)Style (visual arts)ArchaeologyPolitical scienceSociologyGeographyEngineeringLawComputer science

Abstract

fetched live from OpenAlex

The main site of the project for the revitalization of the 36th quarter of the historical center of Irkutsk is the merchant estate of the Medvednikovs. The buildings are located at the corner of Khalturin Street and Dekabrskikh Sobytiy Street. Built in the classical style in the early 19th century, the surviving houses have been excluded from the list of cultural heritage sites and are in a ruined state. The goal of the project is to restore the historical and cultural value of the site and to adapt it for a cultural center. The choice of function for the object was determined after analyzing the situation and justified by the cultural and educational function of the territory and the needs of residents. The boundaries of urban planning were increased to ensure integrated urban development. The project is the winner of the International Graduation Competition (Kazan) and the XXX International Architectural Festival “Zodchestvo” (Moscow).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0040.001
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.004
GPT teacher head0.186
Teacher spread0.182 · 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 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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