Measuring greenhouse gas emissions of a designed urban community retrofit in Nanaimo, BC
Bibliographic record
Abstract
As carbon dioxide levels continue to rise, several countries are taking action to reduce greenhouse gas (GHG) emissions. This thesis explored the relationship between urban design and GHG emissions, effectively integrating GHG reduction strategies into urban environments while maintaining or enhancing quality of life. Urban design and GHG reduction strategies were applied to an existing site (52ha) in Nanaimo, British Columbia yielding two alternative designs for comparing GHG emissions and quality of life outcomes. A 5% reduction in GHG emissions resulted if new buildings were built to demanding building code standards, existing buildings were retrofitted at a steady rate and a carbon neutral district energy system was implemented. Alternatively, more modest strategies were not effective in reducing GHGs, increasing emissions by 19%. This conceptual design and analysis of an energy efficient community show that GHG reductions are compatible with improvements in the quality of urban life, even when the GHG reduction strategies are aggressive.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".