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Record W3115624189 · doi:10.23939/sa2020.02.028

METHODOLOGY OF RESEARCH OF THE INNER QUARTER SPACES OF HISTORICAL CITIES

2020· article· en· W3115624189 on OpenAlex
Nataliia Vatamaniuk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Arhìtektura · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ArchitectureSpace (punctuation)Architectural engineeringInner cityEngineeringGeographyCartographyCivil engineeringRegional scienceComputer scienceArchaeology

Abstract

fetched live from OpenAlex

When addressing issues related to the reconstruction or renovation of historic quarters of the city of Chernivtsi, special attention should be paid to the procedure of research of inner quarter spaces. The theoretical basis of the study was a number of works on the specifics of the formation of the architectural image of the central parts of historic cities and problems of urban planning. The aim of the article is to develop a method of research of inner quarter spaces, to determine ways and means of its practical implementation in the disciplines of the Department of Urban Planning, Faculty of Architecture, Engineering, and Decorative and Applied Arts, Yuriy Fedkovych Chernivtsi National University. For the discipline «Regional Architecture of Bukovina» was offered a course project related to the study of inner quarters of Chernivtsi using morphological analysis and the method of «go-along», and entering photos of courtyards in the program GeoSetter, to determine and link their location on the map of Chernivtsi. To conduct morphological analysis of the study, it is necessary to form a universal base of morphological characteristics, which can be used to describe any open space of the city

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.187
GPT teacher head0.349
Teacher spread0.162 · 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