Relationship between Population Urbanization and Basic Public Service in the Context of the New Urbanization—Take Jilin Province for Example
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
Taking the Jilin Province as a study case, this article used the coupling and coordinating model and decoupling state model to analysis the relationship between population urbanization and basic public service since 2003. Conclusions are drawn as follows: 1 The development of population urbanization mainly manifested as the temporal unbalance and spatial stability, the high values are centralized in the border area of eastern and central core cities, while the low value clusters in the western inland area and resources-exhausted cities; 2The development of basic public service present the increasing trend with the exception of Jilin and Siping, the regional differentiation characteristic of basic education service and social security service is obvious, the regional differentiation of medical healthy service and municipal facility service is not obvious, and the polarization phenomenon of cultural sport service is prominent; 3The couplings between population urbanization and basic public services are at the resisting state, and the coordinating degree is relatively poor, the coupling and coordinating degree of population urbanization and culture sport service shows a downward trend; 4 The decoupling degrees between population urbanization and basic public services gives priority to strong decoupling, weak decoupling, strong negative decoupling and weak negative decoupling.
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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) | 0.000 | 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) | 0.000 | 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