Government Behavior and Sustainable Development in Regional Economy COMPORTEMENT GOUVERNEMENTAL ET DÉVELOPPEMENT DURABLE DE L'ÉCONOMIE RÉGIONALE
Bibliographic record
Abstract
Due to problems such as area segmentation and regional blockade, unbalanced development between regional economies, the decreasing dependency among regional economies, the development of regional economy have faced many obstacles. It is necessary and of great significance to strengthen the government management in developing and promoting sustainable development in regional economies. This article approaches from analyzing the main problems facing sustainable development in regional economies, explores the necessary conditions to realize sustainable development and gives suggestions from the perspective of government to promote sustainable development. Key words: government, regional economy, sustainable development Resume: A cause de la division et le blocus regionaux, le desequilibre du developpement economique regional, l’affaiblissement de la dependance des regions, le developpement de l’economie regionale presente beaucoup de problemes. Ainsi, le renforcement de la supervision gouvernementale revet une signification considerable pour promouvoir la prosperite de l’economie regionale et son developpement durable. Le present article, commencant par l’analyse des problemes principaux existant dans le developpement durable de l’economie regionale de notre pays, explore les conditions necessaires a la realisation du developpement durable de l’economie regionale, et propose des conseils politiques du point de vue du gouvernement. Mots-Cles: gouvernement, economie regionale, developpement regional
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".