May’s “tinkering” with social care funding fails to deliver “sustainable solution,” say experts
Bibliographic record
Abstract
The prime minister has signalled changes to social care funding while abandoning previous Tory commitments to cap the amount that people would have to pay themselves for care and scaling back some benefits for pensioners. Launching the Conservatives’ general election manifesto in Halifax on 18 May (www.conservatives.com/manifesto), Theresa May said it was right that people should contribute to their care from savings and accumulated wealth if they could afford it, rather than expecting taxpayers to carry the cost on their behalf. For the first time, homeowners’ property wealth would come under local councils’ means tests to gauge people’s entitlement to state funded support for social care in their own home. Analysts said that under the proposal many more people would be likely to have to pay for services and that people with the greatest care needs would still be unable to limit potentially huge social care costs. Currently, people can qualify …
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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.020 | 0.028 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".