Research on the resilience of petroleum industry chain and supply chain network from the perspective of China
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
The security situation of the global petroleum industry chain and supply chain network has undergone significant changes, especially during events such as the pneumonia pandemic. As a country with significant changes in the petroleum industry and supply chain, studying China is of great significance. At the same time, the overall research on the security of the petroleum industry chain and supply chain is not yet complete. Therefore, starting from node resilience and structural resilience, this study constructs a research system for preparation, stability, resistance, and reconstruction, which can comprehensively study the security of the petroleum industry chain and supply chain. Research has found that: (1) The central countries of the petroleum industry chain and supply chain are relatively fixed, concentrated in countries such as the United States, China, the Netherlands, and Canada. (2) The petroleum industry chain and supply chain network are all heterogeneous networks , and there are significant differences in the countries in the network. (3) In the supply chain network of the petroleum industry chain, the efficiency of the network will sharply decrease before the ratio of node to edge losses reaches a certain value. (4) In the petroleum industry chain and supply chain network, countries located at the hub will prioritize recovery. Research is of great significance for maintaining the security of the petroleum industry chain and supply chain.
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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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it