From Digital to Physical: Advancing Industrialized Construction through Digital Prototyping Processes
Bibliographic record
Abstract
Recent development in digital design strategies and fabrication tools has offered the Architecture, Engineering, and Construction (AEC) industry the opportunity to rethink the prefabricated building industry. Different methodologies have been proposed with the aim of formulating an efficient link between design and fabrication processes, based on devising effective data workflows to overcome complexities associated with conventional production models. This paper demonstrates recent developments in implementing a Digital Prototyping model toward establishing a comprehensive strategy for design and fabrication of a family of building components. The proposed model is specifically designed and implemented to realize a prefabricated construction system, BONE Structure®, with the aim of enabling high precision in design and fabrication, in addition to supporting pre-defined assembly on jobsites. This paper represents a phase from an ongoing research endeavor toward infusing the design and production processes with digital logic, aiming for high flexibility and customization in building design, specifically the housing realm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".