An Analysis of the Need for a Legislative Initiative for Long-term Care in China
Bibliographic record
Abstract
Presently, in China, the population is aging at an accelerating rate and the number of disabled people is increasing. In order to ensure that the disabled, old people and others live in dignity, a legislative initiative for long-term care is badly needed to regulate money-raising, long-term care institutions and nursing staff. The costs of long-term care should be included within the scope of social insurance in order to maintain social safety and share risk. As for care institutions and nursing staff, because they involve management functions such as construction, health, labor and human resources, education and etc. and most of them are technical, related competent authorities should be authorized to set administrative regulations to form the standards for institution-founding and personnel training and evaluation. Key words: long-term care; the elderly; legislative need Resume: Actuellement en Chine, la population vieillit a un rythme accelere et le nombre de personnes handicapees est en augmentation. Afin d’assurer que les handicapes, les personnes âgees et les autres peuvent vivre dans la dignite, une initiative legislative pour les soins de longue duree est absolument necessaire pour reglementer la collecte de fonds, les institutions de soins de longue duree et le personnel d’aide menagere. Les couts des soins de longue duree devraient etre inclus dans l'assurance sociale, afin de maintenir la securite sociale et de partager le risque. Quant aux institutions de soins et le personnel d’aide menagere, comme ils impliquent des fonctions de gestion tels que la construction, la sante, le travail et les ressources humaines, l’education etc et la plupart d'entre eux sont techniques, des autorites competentes appropriees devraient etre autorisees a etablir des reglements administratifs pour former les normes sur l’etablissement des institutions, la formation du personnel et l'evaluation. Mots-Cles: soins de longue duree; personnes âgees; necessite legislative
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".