Towards Sustainability : Prioritizing Retrofit Options For Toronto's Single-Family Homes
Bibliographic record
Abstract
This study investigates a preliminary retrofit ranking framework for single-family homes on the basis of net environmental effect. Four archetype homes developed to represent Toronto's existing housing stock were modeled using HOT2000 to calculate the operational energy requirements. The embodied effects of selected retrofits were then calculated using the ATHENA Impact estimator and a list of environmental summary measures produced. A method of combining operational and embodied effects based on these eight summary measures was proposed and the functioning and sensitivities of the equation were explored. The method is preliminary and incorporates two factors, a weighting factor and building science factor, that require further research. Analysis of the simultated results allowed generalizations about energy performance and prioritized retrofit recommendations for archetypes. In most retrofit cases operational energy dominates, however, the ranking equation shows the potential for certain conditions in which the embodied effects determine the ranking of a retrofit.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".