Are There Realistic Possibilities for a Higher “Batting” Average? On Improving Residential Energy Efficiency in Canada
Bibliographic record
Abstract
The main use of energy in the residential sector in Canada is for space heating. Reductions in residential energy use, therefore, are likely to be achieved primarily through energy-saving retrofits, such as improved insulation. Reasons advanced to explain the foot-dragging of the residential sector in this regard are examined here, along with various policy options. Canadian survey data from 2003 are used to examine and compare the most energy-inefficient households who saw no need for retrofits with other households who provided a similar response, with a view to assessing whether there are factors that can be exploited to increase the uptake of such retrofits. The results suggest there is likely to be no quick fix. In the absence of large retrofit subsidies, with their accompanying free-rider problem, or a multi-pronged strategy that includes a whole array of policy instruments, including one that changes the relative importance of energy costs in household budgets, the outlook for sizeable improvements in residential energy efficiency in Canada via residential retrofits does not appear to be overly promising.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".