Shaping the future of care together
Bibliographic record
Abstract
This Green Paper, Shaping the Future of Care Together (Cm. 7673), sets out the Government's proposals for reforming the care and support system for adults in England and to establish a National Care Service. Care and support help people stay as independent, active, safe and well as possible, and to participate in and contribute to society throughout the different stages of their lives. Need for care and support can increase as a result of accidents, long-term illnesses, disability and growing older. The proposed National Care Service will provide six basic services: prevention; assessment; a joined-up service; information and advice; personalised care and support; and, fair funding. The Green paper explores ways in which different services can work together, a wider range of services can be developed, and better quality and innovation be achieved. The choices around funding are crucial to the reforms. The cost of care and support is high (a 65-year-old man can expect to need care costing GBP 30,000 during retirement). The Government has ruled out people paying for all of the costs or use of a tax-funded scheme (deemed unfair on those of working age). The options for funding being proposed are: partnership, where the state would pay, for those who qualified for support, a quarter to a third of the basic care and support, with extra help for the less well-off; insurance (either private or a state scheme) to cover costs above the quarter to a third met by the state; and, comprehensive, where everyone over retirement age who could afford it would be required to pay into a state insurance scheme.
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 | 0.035 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.047 |
| Scholarly communication | 0.033 | 0.048 |
| Open science | 0.004 | 0.050 |
| Research integrity | 0.031 | 0.038 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".