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Record W4386774308 · doi:10.18280/ijdne.180428

Interruption of Urban Style of Old Baghdad’s Hub: A Case Study of the Urban Fabric of Historic Baghdad- Al Rusafa

2023· article· en· W4386774308 on OpenAlexvenueno aff
Khansaa Ghazi Rasheed, Sara Abdul Aalli Rasheed, Marwa Talib Rahma

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)Architectural engineeringEngineeringGeographyCivil engineeringArchaeology

Abstract

fetched live from OpenAlex

This study examines the role of urban style in preserving the memory, cultural heritage, and social values of a city, with a particular focus on Baghdad.Previous research has primarily addressed architectural styles; however, this paper argues for the importance of studying urban style, a concept shaped by the amalgamation of various architectural styles over time, contributing to a city's unique identity and language.The research scrutinizes the rich historical tapestry of Baghdad, a city with a diverse array of historical structures from different periods, collectively constituting its cultural and artistic heritage.However, the urban landscape has been adversely affected by the multiplication of disparate visual images, leading to a disconnection between historical buildings and urban style within the city's historical axes.Therefore, the research problem emerged (what caused the interruption in the relationship between the historical buildings and urban style within the historical axes).The aim of the research represented in (clarifying the concept of urban style and its relationship to historical buildings within the general urban scene found around those buildings and the old Baghdad's centre).And achieving this aim was through the hypothesis of the research (interruption occurs in the urban style as a result of the sudden appearance of multiple visual images within the urban scene), then the research reached a set of recommendations and conclusions in defining the relationship between the style and the historical structures and spatially adapted it to the urban scene of the region.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.006
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.260
Teacher spread0.229 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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