Residential Energy Efficiency and the Role of Public Participation
Bibliographic record
Abstract
Albertans are currently engaged in a policy debate on approaches to curtail their energy usage through the adoption of energy conservation strategies. Currently in Alberta there are significant energy savings to be captured, stemming from the proper application of energy efficiency technologies. While energy efficiency savings are primarily to be made in the industrial sector, significant and untapped potential energy savings exist in the residential sector. Tapping these energy savings presents a unique challenge for public policy creators, as in order to successfully bring about energy savings in the residential sector a high degree of public engagement is necessary. This high degree of public engagement is necessary due to the problems present in creating a public policy that aims to affect many different users in many different residential situations. In such a realm cookie cutter public policies will fail to target all residential users effectively. As such it should be the policy makers' objective to determine the most effective policy in light of its ability to create engagement within the residential sectors, as engagement of the residential sector will lead to numerous policy benefits including higher compliance rates and cost savings. It is through this public engagement, brought about through public participation in the policy development and implementation process, that households will be empowered to capture the maximum potential benefits of energy efficiency technologies currently present in our market.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".