The Global Trend of Energy Saving and Carbon Reduction in the Post‐Kyoto Protocol Era
Bibliographic record
Abstract
In recent years, with increased focus on extreme global climates, the drastic population growth, and the exhaustion of resources, humanity has a greater need for and reliance on intelligent, technology‐enhanced living, as well as more effective means of production. Being sustainable, green, and environmentally friendly is becoming more and more a global priority. Energy saving and carbon reduction are the keys to achieving intelligent living, clean production, and environmental responsibility. The United Nations Conference on Environment and Development (UNCED) convened in Rio de Janeiro, Brazil, in 1992. One hundred and fifty five countries jointly signed the United Nations Framework Convention on Climate Change (UNFCC). This treaty and the Conference of the Parties are the origins of the Kyoto Protocol. The Kyoto Protocol became effective in February, 2005, and required 38 industrially developed countries in the European Union and the United States to reduce emissions of six kinds of greenhouse gases, including CO2, from their 1990 levels by a further 5.2%, which equates to about 12.86 billion tons between 2008 and 2012.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".