Building Energy Consumption in US, EU, and BRIC Countries
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
This paper presents and discusses data taken from several studies about the building energy consumption in US, EU, and BRIC (Brazil, Russia. India, China) countries. Most of the current researches about energy consumptions deals with statistics in a specific country. However, international comparisons are useful to discover historical, actual, and energy consumption trends. Data presented in reports of the World Bank, the United Nations Environment Program, the Intergovernmental Panel on Climate Change,and the International Energy Agency are compared with national reports as well as with research studies. This analysis shows that the BRIC countries have already overcome the total energy consumption of developed countries, and the expansion of their building stock raises an imperative urgency for energy efficiency in buildings. At the same time, this paper shows that the measures actually adopted in developed countries are insufficient to guarantee a significant reduction in their energy consumption inbuildings.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it