Population Size,Economics Growth and Carbon Emission:Based on the Empirical Analysis and International Comparison
Bibliographic record
Abstract
根据国际能源署（IEA）公布的1971—2008年碳排放数据,探讨中国与典型发达国家、发展中国家（G8＋5）人口规模、经济增长与碳排放变化的差异性。结果表明：随着GDP增长,中国碳排放快速增长,人均碳排放已超过世界平均水平;单位GDP碳排放持续降低,但依然高于世界平均水平。利用秩相关系数检验人均GDP与单位GDP碳排放,发现7个发达国家均呈显著下降趋势,发展中国家南非、中国呈显著下降趋势,巴西、印度、墨西哥呈上升趋势但并不显著;人均GDP与人均碳排放秩相关系数表明,7个发达国家中,美国、法国、德国、英国呈显著下降趋势,加拿大呈不显著上升趋势,日本、意大利呈显著上升趋势;5个发展中国家处于工业化快速发展阶段,能源消费急剧增加,随着人均GDP增长,人均碳排放均呈显著上升趋势。基于此,归纳出世界主要发达国家和发展中国家人口增长、经济增长与碳排放变动的三种模式。
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".