Factor-based target cost modelling for construction projects
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
Target value design (TVD) principles set the main guidelines for the design-estimate process that allow the efficient exploration of available construction alternatives, thereby helping construction companies to reduce cost-to-design, cost-to-build, and improve the quality of construction projects. The successful application of TVD requires a clear understanding of the interactions among construction components. The proposed target cost modelling approach introduces an algorithmic factor-based framework to advance TVD that supports the design-estimate process by examining the relationships among building components, their direct and indirect impact on project overall cost and value. Construction factors control compatibility and performance analysis among available construction alternatives. Costing factors contribute to the development of mathematical costing models capable of automatically calculating the cost of compatible alternatives. Finally, rule-based analysis, developed under an appropriate programming environment, executes alternative value analysis to develop a detailed estimate with an improved overall value for construction projects.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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