Bibliographic record
Abstract
The aging of the population is the inevitable result of social and economic development, while the socio-economic and cultural development have a major impact. The housing reverse mortgages allow the elderly through its own resources, variable properties for cash, increase pension funds and improve the quality of life in old age, pension solve the problem by building a new idea. And in this business itself is a huge project, which calls for the government, the banks, insurance companies, social security departments and other relevant parties to unify their understanding, coordinate actions, and co-operation. Keyword: the aging of the population; housing reverse mortgages; Social Security Resume: Le vieillissement de population est la consequence inevitable du developpement economique qui exerce en meme temps une influence sur le developpement social et culturel. La mise en application de l’emprunt-logement inverse peut encourager les personnes âgees a utiliser leurs propres ressources pour rendre la proprietes bâties en cash, augementer leur pension de retraite, ameliorer leur qualite de vie. C’est une nouvelle pensee pour resoudre les problemes du vieillissement de la population. L’application de cette mesure est un travail colossal et complexe. Il faut que le gouvernement, les banques, les compagnies d’assurances et les departements de couverture sociale coordonnent leurs actions et travaillement en etroite collaboration. Mots-cles: vieillissement de la population, emprunt-logement inverse, couverture sociale 摘要: 人口老齡化是社會經濟發展的必然結果，同時又對社會經濟和文化的發展產生重要影響。推行住房反向抵押貸款可以使老年人通過自身的資源，變房產為現金，增加養老資金，提高晚年生活品質，為養老問題的解決開闢一條新思路。而開展這項業務本身是一個龐大的系統工程，需要政府、銀行、保險公司、社會保障部門等有關各方統一認識，協調行動，通力合作。 關鍵詞: 人口老齡化；住房反向抵押貸款；社會保障
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".