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Record W1967079950 · doi:10.5755/j01.sace.4.5.4831

The Memorial Museum of Jewish Culture in Prague. An Example of Urban Regeneration

2013· article· en· W1967079950 on OpenAlexaboutno aff
Chizzoniti Domenico, Letizia Cattani, Noviello Matteo, Preis Luca, Preta Gaia

Bibliographic record

VenueJournal of Sustainable Architecture and Civil Engineering · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ExhibitionQuarter (Canadian coin)Theme (computing)Settlement (finance)EngineeringCloisterArchitectural engineeringHistoric siteMetropolitan areaArchaeologyArchitectureVisual artsCivil engineeringGeographyArtComputer science

Abstract

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The theme of this paper regards the results of the main research activities carried out in the Architectural Design Laboratory. The last years of the Laboratory were dedicated to set up a research on a specific case study. The project site is the Old Town of Prague, the ancient Jewish Quarter called Josefov Ghetto with the cemetery and the synagogues and Klášter sv. Anežky České (the Convent with cloister and Church of St. Agnes of Bohemia). The project was supported by a series of analysis and investigation of cartographic, iconographic, and bibliography materials, which allowed us to investigate aspects regarding the urban history, the city and the particular context of application. This exploration about the context is compared to the potential of the place, the physical characteristics, the settlement structure's and the aesthetic characters. The analysis was related by different phases. The first phase involved a site inspection of the area for observing the main architectural buildings. This work was necessary for surveying properly the site and for investigating the current situation of the area. A second step was reserved for processing drawings, maps and three-dimensional models, which allowed us to reconstruct the context and the existing buildings. Finally, this process involved the architectural definition of the project, which integrated strategic choices of new settlement with the structural analysis and technological aspects. In any case the proposed design theme – the exhibition space – is an opportunity to consider this area in a more general reorganization and consolidation of the cultural town-centre. The project structure will take in consideration two important aspects: the relationship between the existing architectures and the water front and the strong characterization of the place, included between the oldest settlement of the city and the fortifications built in medieval times (Bromley et al. 2005). To exemplify this approach to the theme of the proposed project, it is necessary to look at the analysis of some projects. These projects have developed in different ways the issues proposed by the place, chosen as project area. These issues can be summarized as follows: the relationship with the Vltava river and its overlooking; the relationship with the existing convent and integration to the museum system of St. Agnes; the relationship with the characteristics of the site and its various urban settings; the architecture of the connections and the definition of the pathways. The importance of this method is to consider the practice of composition as a slow and careful approach, starting from the place where it takes shape, through a continuous progression to find the appropriate features of the architectural space. The space is perceived as a sensitive experience, able to stimulate the meaning and the essence of the architectural experiences. The architectural project, in this sense, becomes an important object of knowledge, and a real creative act. Our research attempts to set-up a procedure that has as main objective an experimental method to design, according to the resources of local context and focused on urban regeneration (Roberts 2000). An architectural project is a physical fact within the City, because it has a structure that makes it different from the other artistic practices (e.g. painting, sculpture, cinema, music and so on) and its responsibility is rather significant, because the project realized usually affects space and context in different way: through the physical impact; through the figurative impression; through the space suggestion. DOI: http://dx.doi.org/10.5755/j01.sace.4.5.4831

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.229
Teacher spread0.220 · 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 designQualitative
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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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