Research on Evolution of Spatial Pattern of Crude Oil Trade
Bibliographic record
Abstract
In these years, diversification of import channels has been a important strategy to get the security of petroleum import. However, diversification premises a thorough analysis and understanding of the importing strategy of other countries in advance. Ignorance of other crude oil importing countries’ strategic decisions and their interactions and integrations will inevitably lead to the failure of the diversification strategy. This paper analyses the world’s network of crude oil import and shows the evolving of the structure. Analysis of a regional comparison is also carried out to highlight the difference between the states and the homogeneity of world crude oil trade networks. Finally, the spatial structure of world crude oil trade has been simulated. In conclusion, diversification does necessarily not mean homogeneity. The resource reserve in each region varies and the economic and political relationships among regions are also diverse, which determine that diversification of import channels depends on the objective situation and relationship with our partners.
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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 | 0.003 | 0.001 |
| 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 | 0.020 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".