Life cycle analysis : the Richmond Olympic Oval Vancouver, British Columbia
Bibliographic record
Abstract
This report is the result of a Life Cycle Assessment study performed on the Richmond Olympic Oval skating rink in Richmond, British Columbia. This study has been completed in conjunction with one other Olympic venue skating rink located at the University of British Columbia, and encompasses the building envelope and structure from cradle to gate. The ultimate goal of this study is to act as a benchmark for future LCA studies conducted on Olympic venues of similar function, as well as to contribute to the general body of knowledge for LCA studies conducted on structures and envelopes. With the use of two computer programs, environmental impacts have been determined through the measurement and quantification of materials consumed in the construction of the rink. From the bill of materials, the five largest quantities were 30 MPa concrete, ballast (aggregate stone), softwood lumber, rebar (rod and light sections) and Rockwool Batt insulation. The resulting summary measures table by life cycle stage was then used for sensitivity analyses and building performance. A sensitivity analysis was conducted on five building materials, and illustrated how the building’s overall impact on the environment changed as the quantity of each material increased by 10%. The results demonstrate that the impact categories are consistently most sensitive to a 10% increase in concrete. Rebar caused the second highest change overall; and other materials considered generally created minimal relative change in the sensitivity analysis. [Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”]
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".