Rethinking Sustainable Procurement: Investigating the Impact of System Boundary on Building Proposal Selection
Bibliographic record
Abstract
The development of sustainable, healthy, and resilient buildings can position Canada as a global leader in the future of construction. Reforming the building procurement process will help achieve this goal, driving innovation in construction practices. Sustainable procurement has been gaining traction in the construction sector for the past two decades. Incorporating human health impact, durability, and resiliency into the framework ensures a more holistic approach to sustainability, addressing long-term well-being, structural longevity, and adaptability to changing environmental conditions. Yet there is a need to redefine sustainable procurement guidelines for buildings by incorporating human health impact and resiliency with the triple bottom line of sustainability. The objective of this research is to develop updated framework for the sustainable procurement of institutional buildings to enhance the construction procurement process by incorporating sustainability considerations and integrating resilience, durability and long-term human health. First, a comparative evaluation of system boundaries will be performed by comparing traditional procurement (cradle-to-gate) vs. the sustainable procurement framework (cradle-to-grave) for a selected institutional building. The outcomes of the case studies highlight that the cradle-to-grave system boundary offers a clear basis for decision-making in building construction. Second, a framework will be proposed for the sustainable procurement of institutional buildings based on the published literature and ISO 20400 standard, which will support the green procurement guidelines. The outcomes of this research will help assist Canada in achieving United Nations Sustainable Development Goals.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".