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Record W3087570454 · doi:10.21608/idj.2020.30358.1001

أثر تعدد الطرز في القاهرة الخديوية علي العمارة والتصميم الداخلي

2020· article· ar· W3087570454 on OpenAlexaboutno aff
إيمان قطارية, Ahmed Radwan

Bibliographic record

Venueالتصميم الدولية · 2020
Typearticle
Languagear
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsPashaArchitectureIslamic architectureOpenness to experienceIslamAncient historyArchitectural styleQuarter (Canadian coin)The RenaissanceHistory of architectureHistoryArt historyArchaeology

Abstract

fetched live from OpenAlex

Khedive Cairo witnessed in the nineteenth century and the first quarter of the twentieth century a great openness to the West, this openness and integration with different cultures and different nationalities, there are multiple architectural styles, and this was clearly and directly reflected on architecture and interior design in that period. So the arrival of Muhammad Ali Pasha to the rule of Egypt in (1220 AH / 1805 AD) was an important turning point not only in the history of Egypt but also in the history of the city of Cairo, and the era of Muhammad Ali was known as the "Renaissance" due to its connection with the Renaissance in Europe and its impact on the development of architecture and interior design in Egypt, And Muhammad Ali and his family after him had a prominent role in transforming the course of architecture in Egypt in this way. He and his successors succeeded in changing the architecture system from buildings built in the Islamic and Ottoman style to architecture built on the European system. The goal was to transform Egypt into a piece of Europe and try to implement the system of Western life in Egypt in general, and was called the city of Then name majeure "Paris of the East.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.076
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0060.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0760.038

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 head0.083
GPT teacher head0.213
Teacher spread0.130 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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