Estonia's Energy-related Greenhouse Gas Emissions in 1995-2011: A Structural Decomposition Analysis
Bibliographic record
Abstract
Estonia's economy has undergone significant changes between 1995 and 2011. The economy has increased two-fold over this period. However, this economic growth did not result in a corresponding increase in energy-related greenhouse gas (GHG) emissions, which remained at approximately the level of 1995. A structural decomposition analysis (SDA) was used to define the factors influencing the level of GHG emissions and to scrutinise the role of each contribution to the trends in the emissions over this period of 17 years. The main findings of the study highlighted that, although increasing final consumption of Estonia¡¯s goods and services both domestically and abroad resulted in the growth of GHG emissions, these emissions were successfully offset by the improvements in energy use efficiency undertaken primarily by the electrical and thermal energy generation industry and the continual optimisation undertaken by all other economic sectors involved in intermediate consumption of energy during the entire period.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".