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Record W2403942510

New proposal for a retractable roof over a courtyard in Tabriz Islamic Art University

2013· article· en· W2403942510 on OpenAlexaff
Maziar Asefi, Shayesteh Valadi, Elia Ebrahimi Salari

Bibliographic record

VenueIran University of Science & Technology · 2013
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRoofExhibitionArchitectural engineeringSoftware deploymentArchitectureProcess (computing)BeautyTrack (disk drive)IslamEngineeringFlat roofCivil engineeringConstruction engineeringComputer scienceMechanical engineeringGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This paper by reviewing the main examples of small to medium-scale retractable roof structures coverin g building courtyards is to present an innovative rigid retrac table roof system employing spatial frames for a co urtyard of an existing building in Tabriz Islamic Art University. The cour tyard is currently used for temporary exhibitions a nd gatherings whenever permitted by environmental conditions. The proposed retractable roof will extend the application of th e building throughout whole year period and also adds to its beauty and f unctionality. One of the main advantages of this de sign that makes it as a good alternative for this building is the way that the roof is retracted in different segments separat ely in a regulated deployment process and its potential in being used in different stages of the deployment process. The proposed roof consists of four retractable zones all covered with transparent rigid material and a fixed central part being insp ired by the patterns of Iranian historic architecture. The retractable part s are placed at four corners and composed of rigid panels sliding across each other. An actuating force is applied to the fi rst panel of each module and consequently makes the other panels move throughout the associated fixed track.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.175
Teacher spread0.170 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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