A framework for value visualization in the construction industry to support value-oriented design
Bibliographic record
Abstract
The research in value-oriented design reports the importance of displaying the interdependencies between product components and stakeholders’ values, where it argues that the display of interdependencies is indispensable for the optimal decision-making and for the success of the value-oriented design. However, applications for value visualization in the construction industry lack one or both of the following: (1) the support for multi-value assessment and visualization and (2) the ability to visualize value(s) over time. These two shortcomings hinder the construction industry from fully embracing sustainable value-oriented design. Hence, this paper proposes a visualization framework to bridge the gap in the practice of value visualization regarding (i) the number of visualized values and (ii) time-based multiple-value visualization. The paper also contains a case study that utilizes a condominium building to show the implementation of the proposed framework and demonstrate how results can be interpreted and utilized in the design process.
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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 | 0.003 | 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 | 0.000 | 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 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".