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Record W3155561803 · doi:10.21203/rs.3.rs-63053/v1

Investigating Visualization Principles for Heritage Rehabilitation

2020· preprint· en· W3155561803 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsConcordia University
FundersKing Saud University
KeywordsVisualizationRehabilitationComputer scienceData sciencePsychologyArtificial intelligenceNeuroscience

Abstract

fetched live from OpenAlex

Abstract Many countries of the world suffered the problem of historical neighborhoods within their urban entity, through various treatments and phases. Regardless of numerous treatments, the city in general is described as an organic entity that has past, present, and future. This past with its birth, originality, and transformation had to have relied on material and spiritual assets that surrounded it, and the urban texture that lived and continued in the peripheries of the cities during the past era is only cultural humanitarian production that interacted and was environmentally consistent and covered the human needs that were related to time and place. In this article, three international experiences were chosen from countries that are different in their geographic location and cultural heritage, and have analyzed their experiences to conserve the historical identity of cities, as follows: The first experience which is handled by the research is the experience of France in the renovation, conservation, and improvements of heritage sites. Any type of dealing on whatever level with historical areas (whether subject to maintenance, improvement or renewal) were subject and belonged to a general plan that was set based on a comprehensive view of the city as a whole, taking into account all elements that affect the problem, including economic, social, cultural and political matters. It is known that France holds advanced philosophical and theoretical heritage in the field of urban planning based on situations of the senior architects and theorists of planning in the past century. The second experience studied in this article takes place in the Kingdom of Saudi Arabia and presents astounding results in the field. It was renewed and was conserved by autonomous efforts by the rehabilitation of many historical cities and restoration of their vitality and spirituality to become attractive to tourism, heritage value, and investment. North America included the United State of America and Canada.

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)0.013
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.484
GPT teacher head0.447
Teacher spread0.038 · 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