Bibliographic record
Abstract
This article tried to do some research, on the foundation of the study with the governance of non-constuctive land in China´s county territory to promote the balance of the region. Specifically, this paper reviews the necessity of research on town’s non-constructive land and designs the system of non-constructive land. Finally, by analyzing the correlation of the construction land and the non-construction 1and, the paper expounds the methods of the governance for non-constuctive land in town development. Key words: the developed area, county territory, non-constructive land, styling, governan Resume: Le present article cherche a effectuer des recherches sur la gouvernance de la terre non-constructive dans le territoire national de Chine dans le but de promouvoir l’equilibre des regions. Concretement, l’article examine la necessite de recherches sur la terre non-constructive du bourg et etablit le systeme de la terre non-constructive. Finalement, en analysant la relation entre la terre constructive et la terre non-constructive, l’article expose les methodes de gouvernance pour la terre non-constructive dans le developpement du bourg. Mots-Cles: region developpee, territoire national, terre non-constructive, style, gouvernance
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".