LEED–PDRI Framework for Pre-project Planning of Sustainable Building 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
Abstract Green buildings help in sustainability, in terms of achieving energy efficiency and minimizing the utilization of natural resources. Additional benefits include long-term sustainable building management and maintenance. There is, therefore, compelling motivation for the building of sustainable projects. This inspiration has led to the development of the leadership in energy and environmental design (LEED) rating systems and projects by the United States Green Building Council and the Canadian Green Building Council. Proper building project management (BPM) of such projects is warranted. Pre-project planning is a crucial part of BPM that ensures delivery and performance of construction projects. Pre-project planning is defined as the process that encompasses all the tasks between project initiation and detailed design. There is a positive relationship between comprehensive pre-project planning and enhanced project performance. Given the motivation for environmentally sustainable projects and proper management of constructing such projects, diligent pre-project planning for such projects is required. This paper investigates the use of the LEED rating system in pre-project planning of sustainable construction projects by developing a matrix that combines the LEED and the Project Definition Rating Index (PDRI) developed by the Construction Industry Institute. The conceptual matrix and its application to a case study demonstrates that the value of linking pre-project planning with LEED to improve the decision making process during planning and designing of building projects to improve sustainability.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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