Modularization Business Case: Process Flowchart and Major Considerations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Modularization is a well-known method of enhancing project value by exporting a portion of site work to one or more local or distant fabrication or assembly shops/yards. Still, the industry is in need of additional guidance on how to more effectively exploit modularization. To help achieve wider and more effective use of modularization, the researchers and the Construction Industry Institute’s (CII) Research Team 283 develops here a new modularization business case process for developing the modularization drivers (and for determining the degree to which modularization will be implemented). The result is an optimal decision-making process as these drivers are compared with the owner’s objectives and evaluation criteria for cost, schedule, risk and other project objectives. This paper presents this new modularization business case process and lays out the major considerations that pertain to per-project phases. The findings provide guidelines along with a flowchart that should impose rigor on the decision process, helping owners and avoiding poor outcomes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 it