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Record W4220887375 · doi:10.18280/ijsdp.170112

Contribution of Society and Owners of Buildings in Conservation of Architectural Heritage in the Arab World. (Case Study: “Rawdat Sudair, Saudi Arabia”)

2022· article· en· W4220887375 on OpenAlexvenueno aff
Saqer Mustafa Sqour, Mohannad Tarrad, Rami Al Shawabkeh, Ahlam Eshruq Labin

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsCultural heritageGovernment (linguistics)Industrial heritageCultural heritage managementNeglectEnvironmental planningArchitectural engineeringEnvironmental resource managementPolitical scienceEngineeringGeographyArchaeologyPsychology

Abstract

fetched live from OpenAlex

This research aims to study the experience of local people in conserving architectural heritage and to benefit from that in preserving other historical sites. The need for this study is important because: Conservation of cultural and architectural heritage is not merely a government responsibility. The participation of local people in architectural conservation has many benefits. Motivating people to preserve architectural heritage is the responsibility of cultural and educational bodies. The study discusses historical architectural sites in Saudi Arabia. It concentrates on the inhabitants' and owners' role in the conservation of architectural heritage, since, nowadays most of the historical sites were taken care of by the governments. The tools of this research are better than the previous working methods, because, previous models neglect the inhabitants' and owners' role in the conservation of architectural heritage, Methods of this study include literature review, site visits, and interviews with inhabitants and visitors of the Case Study. It also includes site visits to similar historical sites, lectures highlighting the importance of architectural heritage to improve public awareness and to motivate people to take part in the conservation of architectural heritage. The study found conserving, preserving, or rehabilitating traditional buildings cannot be the duty of the owner only or the responsibility of the governments alone.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.221

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 head0.040
GPT teacher head0.260
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".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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