The role of charitable funding in the provision of public services: the case of the English and Welsh National Health Service
Bibliographic record
Abstract
The role of charity in the provision of public services is of substantial academic and practitioner interest, and charitable initiative within the English and Welsh National Health Service (NHS) has recently received considerable attention. This study provides rich insights into the role that NHS-linked charities present themselves as playing within the NHS. The dataset analysed is a novel construction of 3,250 detailed expenditure lines from 676 sets of charity accounts. Qualitative content analysis of itemised descriptions of expenditure allows us to explore how these charities portray their activities. We distinguish between expenditures that can be framed as supplementary to government funding (such as amenities and comforts) and items that suggest charitable effort is substituting for government support (such as funding for clinical equipment). We also consider the claims being made through these representations, and suggest that the distinctiveness of the charity and NHS spheres are currently under question. We argue that, through their representational practices, charities are both shaping and blurring the expected roles of government and charity. Acceptance of the benefits that charitable initiative does provide, in terms of innovation, pluralism and participation, must be tempered with the realisation that charitable funds are playing a role in service provision that is not guided by clear policy, and that this has the potential to widen existing inequalities within a key public service.
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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 | 0.020 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.018 | 0.019 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".