An Analysis of Global Major Countries' CO2 Emission Space——Based on the Ecology-Equity-Efficiency Model
Bibliographic record
Abstract
Based on the theory of ecological economics and the objectives of low-carbon development,and taking into account such measurements as environmental stability, social equity and economic development,the ecology-equity-efficiency model has been established with an indicator system of CO2 emission scale,distribution and efficiency.This paper calculates and analyzes the CO2 emission status and space of the major countries worldwide from 1990 to 2050 by taking the global CO2 emission amount as a control objective indicator and the CO2 emission per person per annum as a distribution indicator.The results indicate that the annual CO2 emissions per capita globally are 2.95 tons and the gross CO2 emissions of USA,Canada and some other developed countries have over-drawn.It is thus suggested that such countries should improve their CO2 emission efficiency and take responsibility for providing funds and technologies to help the developing countries with CO2 emission reduction.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".