Hospitals forecast a rise in emergency admissions, while commissioners forecast a fall
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cracks in NHS performance in England are appearing alongside signs of a “worrying mismatch” in planning between those who commission and those who provide services, an analysis shows. The health think tank the King’s Fund has said that growing pressure on finance and rising demand for services meant that hospitals had to choose between maintaining the quality of care and balancing the books. Many hospital trusts were recruiting more nurses, despite budgets being stretched to the limit: the nursing workforce rose by almost 9000 over the past six months to nearly 315 000, the “highest on record,” the fund said. The fund published its latest quarterly monitoring report, for the period from April to June 2014, on Thursday 17 July.1 It also reported that a quarter of NHS trust finance directors (18 of 73 surveyed) said that they expected to overspend their budgets in 2014-15. …
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 it