A New Insight into Design Approach with Focus to Architect-Client Relationship
Bibliographic record
Abstract
Many studies stress cooperation between architects and clients in which knowledge and experiences are sharedin order to reach synergy. Thus, a process approach is required to make the latent knowledge and intention of theclient explicit, efficiently connecting him/her to the architect. However, little attention has been given tosocio-technical features of this relationship within architectural design process. This study aims to present anapproach with collaborative, communicative and innovative features, which develop client involvement,information sharing and design-supporting tools within architectural design process. A literature survey has beenconducted to investigate the characteristics of the communication process, architectural design process,design-supporting tools and means, method and concept of virtualization in design and communication. Finally,this study concluded by integrating the concept of virtualization and virtual reality tools into communication anddesign process. A new design approach will be generated, which will satisfy both architect and client, as well asdesign outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".