North American energy efficiency standards and labeling
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The North American Energy Working Group (NAEWG), led by officials from Natural Resources Canada, the Mexican Secretariat of Energy and the US Department of Energy, seeks to foster communication and cooperation among the governments and energy sectors of the three countries. This paper provides an update on the Group's progress on energy efficiency, and shares some of the results of its analyses to date. Section I describes energy efficiency standards and labeling programs in general terms, and why they are effective instruments in meeting energy efficiency goals. Section II explains the different processes and institutional contexts for standards and labeling programs in each country. Section III goes on to provide an overview of the status of standards and labels in the three countries, identifying where commonalities and differences exist. Section IV describes the activities to date of the Working Group in the area of energy efficiency. The NAEWG wishes to thank Lawrence Berkeley National Laboratory for its technical assistance in preparing this document.
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.
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it