Urban Integraion Model in Ethnic Autonomous Regions: A case of Yanji Longjing Tumen Area
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 rapid development of urbanization promote the pace of development of all levels of regional in China, and emerge the Phenomenon of urban integration in ethnic autonomous regions. Compared to the general and developed areas,there are several distinctive characteristics of the nationality, the ethnic autonomous and immaturity in ethnic autonomous regions.The paper discuss the specificity of autonomous regions, at the same time elaborated the China's ethnic autonomous regional urban and its particularity in detail. And select the YanLongTu which have the typical characteristics as a case region. In quantitative research, by using AHP method measure the integrating force of the YanLongTu region, and divided the integraing space in three levels by field intensity model. It can be obtained the conclution that YanLongTu integration area is at low level and there is a low field strength between Yanji and Tumen through quantitative analysis. In conclution,the paper proposed three types of control measures about space integrated model, administrative division adjustment mode and regional development mode to promote the development of urban interation in YanLongTu area.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it