Review of UK Health Research Response of the Academic and Research Board of
Bibliographic record
Abstract
Proposal for single research fund One of the main concerns of the Royal College of Surgeons of England (RCS) in recent years has been the demise of Clinical Academic Departments throughout the UK and particularly in the craft specialties. This has occurred due to a variety of factors which have been well documented in the Report from the Academy of Medical Sciences (2002). One significant factor which has had a particular effect on the surgical disciplines has been the bias in the Research Assessment Exercise towards basic science as opposed to applied clinical research. This seems to have been reflected in the apportionment of funds by the Research Councils. Consequently, the RCS views any mechanism which might improve this imbalance as beneficial. The setting up of a single fund for health research might be a means of achieving this aim provided adequate sums are available. We wish to register our concern that since the idea of a single fund and related consultation document emanates from the Treasury, this might be construed as a cost-cutting exercise designed to reduce overall spending on health research, which of course this College would oppose totally. The RCS can see some merit in a single fund. However, despite our previous comments with
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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 | 0.097 | 0.292 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.026 | 0.015 |
| Insufficient payload (model declined to judge) | 0.024 | 0.013 |
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".