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Record W3173512295 · doi:10.1051/e3sconf/202127401036

Formation of the identity of the profitable complexes of the Old Tatar Quarter in Kazan of the late ХIХ - Early ХХ centuries

2021· article· en· W3173512295 on OpenAlexaboutno aff
Dilyara A. Nadyrova

Bibliographic record

VenueE3S Web of Conferences · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsTatarQuarter (Canadian coin)Identity (music)Ethnic groupHistorySociologyAestheticsArchaeologyArtAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

The article is devoted to the study of the formation of the architectural identity of the profitable complexes of the turn of the XIX and XX centuries of the Old Tatar Quarter - one of the oldest ethnic districts of Kazan. Profitable buildings and complexes of the studied period constitute a significant part of the preserved development of this territory. The article reveals the little-studied facts of the formation of profitable houses, examines the nature of their functional content, establishes the relationship between the material and non-material components of identity. Comprehensive analysis of the materials revealed the multifunctional nature of the profitable complexes. The level of identity of the complex is determined by the variety of its material and non-material features. A special role in the formation of the identity of the complex was played by the intangible component, which was determined by various factors. The results of the research are important for the restoration of cultural heritage sites and the introduction of little-known and unpublished archival materials into scientific circulation. Determining the identity of the profitable buildings of the Old Tatar Quarter is important for the further sustainable development of the district and for the preservation of the culture of the Tatar people.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.227
Teacher spread0.199 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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