Legislative Assurance System for Sustainable Development of Chinese Medium and Small Enterprises' (SMEs) ETUDE DE LA POTILITIQUE DE LOI POUR LA PROTECTION DU DEVELOPPMENT CONTINU DES PME EN CHINE
Bibliographic record
Abstract
The current legislative assurance system for protecting Chinese Medium and Small Enterprises’ (SMEs) is not complete. Encourages and preferential terms in the legal system are ambiguous which are not suffi cient to be used in promoting sustainable development of Medium and Small Enterprises (SMEs) in practice. This paper gives fi ve related proposes by analyzing problems of sustainable development of Chinese Medium and Small Enterprises (SMEs): Scientific management and governance of Medium and Small Enterprises (SMEs); Standardize government authority’s responsibilities legally; Construct perfect and complete market service system; Provide legal protection for Medium and Small Enterprises (SMEs) fi nancing; and Provide preferential tax with SMEs. Key words : Medium and Small Enterprises (SMEs); Corporation governance structure; Financing; Tax preference Resume Dans la Chine de nos jours, sa politique de loi pour la protection du developpement continu des PME n’est pas encore complexe. Les accords d’encouragement et des avantages sont encore tres traditionnelles, et ne peuvent pas etre reellement introduire dans la partie de developpement continue des PME. La presente etude reflete les problemes du developpement continue des entreprises de PME, et propose 5 conseils d’amelioration: La structure du traitement de la science des PME, Specification des fonctions des organismes gouvernemetale conformement a la loi, Mettre en place des systemes de services du marche, Fournir des protections de reformes de loi pour la combinaison des capitaux des entreprises de taille moyenne-petite et les protection de reformes de la loi pour la fiscalite des entreprises de taille moyenne-petite. Mots cles : PME; Structure de traitement; Financement; Avantage de la fi scalite
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".