MétaCan
Menu
Back to cohort
Record W2558885815 · doi:10.5539/jsd.v9n6p168

A Comparative Study of How to Renovate Historical Fabrics in the UK, France, the USA and Iran (Shiraz)

2016· article· en· W2558885815 on OpenAlexvenueno aff
Tahereh Nasr

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryWorld War IIElement (criminal law)HistoryEconomyPolitical scienceArchaeologyLawEconomics

Abstract

fetched live from OpenAlex

Restoration and renovation of the historical fabric of towns is one of the methods of intervention in towns with historical fabrics and old buildings that means continuous and conscious act for modernization, prevention from erosion and wear, longevity of historical buildings and fabrics of the towns, which are carried out aiming at a new function as appropriate to the needs of the daily life. The record of restoration of the historical fabric of the towns in advanced counties is about two countries old, but the restoration and improvement of the historical fabric of towns separately and independent from historical buildings as a live, dynamic urban element was never paid attention by congresses and scientific centers before the Second World War. After the Second World War, restoration and reconstruction was paid attention again and was discussed in academic centers. That was while construction operations were under way in most European towns rapidly and intensively and no enough time was there for their study. The present article, while reviewing the world laws and enactments on urban restoration, has a look on different kinds of renovation in urban fabrics. What is important is the economic feasibility of renovation in the areas under study. The present article is an effort towards review of the literature on restoration and innovation of historical urban fabrics based on the universal activities. The purpose of this study is explanation of the components being paid attention in renovation of the old urban fabrics. An analytical – comparative review of the experience gained in developed countries, on the one hand, and developing countries, on the other hand, could provide a guide toward development of effective solutions for renovation of historical spaces in towns. Analysis and examination of the process of the influence of modern western architectural, urban development and urban restoration on the modern Iranian architecture and urban development are among the achievements of such a study. The research methodology, considering exploration of the form of the Iranian town is descriptive – analytical and the method of collecting data is field work and documentation "The content structure of the study" is supported by the process of determination and introduction of efficient policies and strategies in traditional and historical fabrics. Strategies such as creation of new economic demands, environmental improvements, preservation and safeguarding of the historical nature of the quarter with physical restoration, development of criteria for functional design and renovation are among other notable subjects in this project. The findings of the study show that, the historical neighborhoods of towns usually serve as autonomous functional areas, and, therefore, paying attention to them must be made in the context and the general fabric of the town and the relevant districts. Renovation, which is nothing but returning vitality and activity to the areas, is a dynamic, powerful process. Considering the above- mentioned items, one could say that the process has had different degrees in different areas. A successful renovation must show itself, in physical, economic and social aspects as well. The results show the physical improvement of the town by paying attention to the physical components of the urban indentify. Also, one should attend to creation of cognitive and aesthetic values aiming at providing the readability and upgrading the mental image of the town when innovating the old fabrics.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.112
GPT teacher head0.259
Teacher spread0.147 · 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 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicCultural Heritage Management and PreservationFrench-language works237,207