Preparation Of A Brief To The Alberta Provincial Government Examining The Feasibility Of A Mandatory Energy Disclosure Policy In Alberta
Bibliographic record
Abstract
Disclosing the energy use of residential homes will help home buyers make informed purchases and encourage home owners to increase the efficiency of their home. Developing a mandatory energy audit and disclosure policy for residential homes offered for sale in Alberta will help create awareness for homes owners and buyers, and encourage energy efficiency. This will prompt changes in attitude, and energy savings for both the Government of Alberta and homes owners and buyers. This Maters Degree project is aimed at creating a policy brief for the Government of Alberta. The policy brief involves enforcing a mandatory energy audit to be conducted, and its results be disclosed with the sale of all residential homes in the province. This document will review international and national data, and literature on existing Government initiatives, and existing mandatory energy disclosure policies. The literature review and data analysis aided in the development of 10 key policy tools. Alberta would need these tools in order to successfully implement a mandatory energy disclosure policy, the tools range from developing an administration to capping a cost for energy audits. The research also aided in identifying the potential benefits and challenges that Alberta may incur. The major challenges faced are centered around a lack of information and monetary availability, and the major benefits are centered around developing awareness and energy savings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".