Inter-Provincial Accessibility and Economic Linkage Spatial Pattern in Northeast China
Why this work is in the frame
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Bibliographic record
Abstract
Taking the Northeast China as a study case, this article used the weighted mean travel times as indicators by the travel time cost gravity model to calculate the inter-provincial accessibility and economic linkage intensity among the40 cities. Then, the economic linkage subordination degree was employed to identify the inter- provincial economic linkage direction of the cities. Conclusions are drawn as follows: ①The high values of inter-provincial accessibility are centralized in the Harbin- Dalian economic belt, adjacent region between Eastern Inner Mongolia and Jilin Province,while the low value clusters in the surrounding regions; ②The disparity of inter- provincial economic linkage intensity among cities in Northeast China is remarkable, and inter- provincial economic linkage intensity is highly related to the inter-provincial accessibility, the urban economic linkages conform to the law of distance attenuation; ③Transportation and near- field directivity of inter- provincial economic linkage direction is prominent, the predominant axes of interprovincial economic linkage have formed along the Harbin- Dalian economic belt, and the economic linkage between Eastern Inner Mongolia and three provinces of Northeast China is weak, the same as surrounding regions and other regions. Finally, the driving force of economic linkage spatial pattern in Northeast China can be divided into four parts:regional strategic policy, transportation infrastructure, industrial division cooperation, physical geography condition.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 0.001 |
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