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Record W1778739278

A COURSE ON COMPUTER-AIDED BUILDING DESIGN

2004· article· en· W1778739278 on OpenAlexaff
Hugues Rivard, Claude Bédard

Bibliographic record

VenueEspace ÉTS (ETS) · 2004
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsCourse (navigation)Context (archaeology)Building designProcess (computing)Building information modelingEngineeringComputer Aided DesignSoftwareEngineering design processArchitectural engineeringDesign processEngineering managementSystems engineeringSoftware engineeringComputer scienceWork in processOperations management
DOInot available

Abstract

fetched live from OpenAlex

Computer-Aided Building Design is a final-year undergraduate course that has been offered for more than 20 years at Concordia University. Naturally, over that period the course has evolved as fast as the technology. It started from a programming course with matrix representation of view transformations to lately, the use of off-the-shelf commercial software packages and the Internet to support project collaboration and submission. This course introduces students to the process of integrated building design. It emphasizes both computer assistance (CA) and building design (BD). Students experience the design process in teams in the context of a realistic building design project. The building is designed in a holistic manner integrating related fields such as spatial layout, structures, enclosure, energy consumption, and construction cost estimation. Many computer tools are used and integrated throughout the design process. The paper provides a brief historical overview of the course and it describes the material covered, the team-design project, and the IT portion of the course.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.789
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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
Published2004
Admission routes1
Has abstractyes

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