Inter-country Energy Trade Analysis Based on Ecological Network Analysis
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
Energy embodied in the economic activities are making connection between countries more closed under the rapid globalization. The inter-country energy trade reallocates the energy resources and sustains economic development, which is crucial to global energy supply and security. To investigate the structural features of the inter-country energy trade markets, we built the inter-country energy trade network covering 40 representatives based on the input–output table and ecological network analysis (ENA). The indicator of control difference is used to explore the relationship between countries within the global energy supply market. The results show that Canada, Latvia, Malta and Poland are the main exporters, and the Japan, Germany, Korea, Turkey and Mexico are main importers. According to the dependence results, such as Japan has strong dependence on Canada, Korea is highly dependent on the Malta can provide insights for how to improve countries’ security by adjusting the energy trade policies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.005 |
| 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) | 0.014 | 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