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Record W4386571443 · doi:10.21608/ijmshr.2023.315545

ترميم وصيانة إحدى العربات الملكيه للملك فؤاد الأول (العربه امينبوس)

2023· article· ar· W4386571443 on OpenAlexaff
إيمان نبيل, محمد حسام, محمد بسيونى

Bibliographic record

VenueInternational Journal of Multidisciplinary Studies in Heritage Research · 2023
Typearticle
Languagear
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsRoyal Alberta Museum
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The royal chariots are a unique model of antiquities in terms of industrial technique, as they contain a mixture of organic and inorganic materials "leather - wood – metal". The research deals with the study of techniques, restoration and conservation of one of the royal chariots "the Chariot Aminbus in the Era of King Fuad" by studying the techniques of making royal chariots during the Aleulwia family is from the reality of the catalog of each cart, which was designed by the producing company. The vehicle, which is the subject of the study, was intended for transporting senior officials, guard officers, chamasherjeh, and excursions into the desert. The research is concerned with the visual and microscopic examination of the components of the vehicle to determine the condition of the vehicle and to study the deterioration aspects in order to enable restoration work, which included wood restoration work in all its different stages, mechanical and chemical cleaning, completion and filling of cracks, then consolidation and covering. Leather restoration starting from cleaning, consolidation and completion, moving on to metal restoration work in its various stages, mechanical and chemical cleaning and covering. The royal emblem adorns the chariot and is the distinctive sign of the royal chariots during the Aleulwia family. And microscopic examination of the colors that make up the royal emblem, examining and studying the deterioration aspects to the color layer, and carrying out the appropriate restoration work such as cleaning, consolidation and covering.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.220
GPT teacher head0.485
Teacher spread0.265 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Multidisciplinary Studies in Heritage ResearchSame topicMilitary Technology and StrategiesFrench-language works237,207