Canadian Industry Practitioners Perception on LEED Credits
Bibliographic record
Abstract
While the need for sustainable practices in building projects is globally recognized, some construction stakeholders still demonstrate resistance in adopting sustainable practices. The general perception is that attempting to achieve sustainability will increase the capital cost of construction and can delay the schedule. In recent years, societal pressure and government incentives as well as practitioners knowledge and acknowledgement, have led many construction projects to pursue sustainability credits. In 2002, Canada Green Building Council (CaGBC) adopted the Leadership in Energy and Environmental Design (LEED) standard as a tool to evaluate the sustainability of construction projects. The main objective of this research is to generate a better understanding of LEED professionals' perception of the impact of achieving LEED credits on projects parameters such as cost, schedule and future value. A survey was conducted to clarify their position towards the impact of each of the 69 points in the early version of LEED-New Construction on project factors. The survey targets factors in its three phases — prior to construction, during construction and post construction. The results can assist in improving the evaluating systems and developing sustainability design tools in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 source (direct Gemma or distilled Codex), 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".