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EVOLUTION OF FORMATION OF HOTEL AREAS IN THE CITIES OF WESTERN EUROPE XVIІІ ‒ EARLY XX CENTURIES

2022· article· en· W4307964947 on OpenAlexaboutno aff
Т.V. Shyriaiev

Bibliographic record

VenueModern construction and architecture · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Urban planningGeographyEconomic geographyYardQuarter (Canadian coin)Scale (ratio)Period (music)Regional scienceEconomyArchaeologyCivil engineeringCartographyEngineeringArt

Abstract

fetched live from OpenAlex

In the research, the urban development aspect of hotel areas in the context of severe urban changes that took place in the cities of Western Europe during the XVIIІ - early XX centuries were analyzed. It was investigated how due to external factors of influence new composite forms of the location of hotels in urban areas were formed and more modern algorithms of interaction between current urban planning realities and the formation of new, improved functional and planning proposals in the design, construction and operation of European hotels were formed in the second half of the XIX – early XX century. The scale of evolutionary changes has been constructed during this historical period and the main stages of the formation of the hotel industry in Europe have been studied. Four main compositional variants of urban areas were discovered, in which the hotels of that time were built: the frontal site, through the section, located on the corner and the hotel quarter. The prevailing forms of the location of hotels in these areas in the urban environment were analyzed, as well as the external factors of influence not only on the change of the urban construction concept were investigated, but also on the emergence of new architectural and planning decisions, which in their basic structure have survived to this day almost unchanged. Among the main features of the development of urban development, it should be noted the active development of the area of the former economic yard, which functionally began to be used directly by the hotel itself. This philosophy of increasing the room number and profitability of the institution has led to a gradual complication of the composite component and to the complete development of the hotel area with the selection of one or more internal atriums that were involved in separate public spaces and hotel areas.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.236

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 science0.0000.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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 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
Published2022
Admission routes1
Has abstractyes

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