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EVALUATION OF THE DEVELOPMENT APPROACHES OF THE BUILDING EFFECTIVENESS AND EFFICIENCY WITH MODULAR CONSTRUCTION METHODS

2012· article· en· W2963952090 on OpenAlexaboutno aff
Banu Erturan, Özlem Eren

Bibliographic record

VenueDergiPark (Istanbul University) · 2012
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsModular designModular constructionDevelopment (topology)Computer scienceArchitectural engineeringConstruction engineeringSystems engineeringEngineeringMathematicsProgramming language

Abstract

fetched live from OpenAlex

In Canada for EXPO267; capacities of 158 residential areas have been constructed through modular box system. This new construction is a work put that will be told about for a long time in architectural history. Today, the modular box systems are being widely used in Europe, USA and Japan. This system is suitable if required high speed construction of different functional buildings such as residential, hotels, hostels, offices and schools. The system is on, can be constructed as opened, half-closed or closed units. Modular box system, a single module or a number of different alternatives to the planning module is formed with a different flexibility in planning and construction which allows quick production method. In this study, first of all, the development process of modular box system has been examined in an historical period. Accordingly, the system has been classified in terms of static and spatial characteristics, assembly method and the type of their uses. At the last part of this study, the samples which the modular box systems were applied, has been examined and presented.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.234
Teacher spread0.196 · 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 designSimulation or modeling
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
Published2012
Admission routes1
Has abstractyes

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