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Record W2154614316

COMPUTER-AIDED MODELING APPLIED TO ARCHITECTURAL KNOW-HOW: THE GOTHIC ROSE WINDOW

2006· article· en· W2154614316 on OpenAlexaboutno aff
Nathalie Charbonneau, Dominic Boulerice, David Booth

Bibliographic record

VenueJournal of Information Technology in Construction · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGRASPTRACE (psycholinguistics)Window (computing)Process (computing)Computer scienceSoftwareInterface (matter)Computer Aided DesignSoftware engineeringEngineeringHuman–computer interactionArchitectural engineeringWorld Wide WebProgramming language
DOInot available

Abstract

fetched live from OpenAlex

This paper explains the parameters and methodology at the heart of an ongoing research project that seeks to verify whether one can trace back the genesis of any given artefact or work of art by means of computer-aided modeling. In its endeavour our Montreal-based research team aims to initiate and propose novel methods of modeling design processes. This approach is exemplified by a case study dealing with rose tracery designs adorning Gothic cathedrals of 12th and 13th Century Ile-de-France. A computerized model re-enacting their design process was developed along with an interface enabling the translation of the designer’s intentions into a virtual design space. The stated goal of this research project is to evaluate empirically to what extent our modeling strategies can grasp a given artefact as a logical and articulate ensemble. Furthermore, we seek eventually to determine whether this kind of software programme would prove an indispensable tool in the development of the architectural designer’s cognitive abilities.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.185
Teacher spread0.177 · 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 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
Published2006
Admission routes1
Has abstractyes

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Same venueJournal of Information Technology in ConstructionSame topicArchitecture and Art History StudiesFrench-language works237,207