A Study on Forming a Construction Land Market That Unifies Urban and Rural Areas During the Process of the New-Type Urbanization in China
Bibliographic record
Abstract
Under the background of China’s new-type urbanization, the transformation of urbanization which is people-centered is quietly underway. The new-type urbanization not only puts people first, but also is firmly based on establishing a construction land market that unifies urban and rural areas. The Third Plenary Session of the 18th Central Committee of the Chinese Communist Party adopted the “Decision on Major Issues Concerning Comprehensively Deepening Reforms” (hereinafter referred to as the “Decision”), in which “forming a construction land market that unifies urban and rural areas” was proposed, and the Decision advocated that the rural collectively-owned construction land can “enter the market with the same rights and at the same prices as state-owned land”. This paper firstly reviewed the status quo of China’s construction land market in which there is segmentation between urban and rural areas. Then under the guidance of the specific reforming measures proposed by the Decision, the paper made a further attempt to discuss and explore the supporting measures of and safeguard mechanism for forming a construction land market that unifies urban and rural areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".