Commodifying health care: the UK's National Health Service and the Independent Sector Treatment Centre Programme
Bibliographic record
Abstract
Since the year 2000 successive British governments have pushed ahead with the transformation of the National Health Service into a health care market with a strong component of for-profit provision. Focusing on the crucial first step in the privatisation of clinical services, this article examines how the four key requirements for the commodification of a public service were fulfilled — first, breaking up health care into standardised units that could be priced; second, inducing the public to use the new commodified services; third, inducing the workforce to work for shareholders; and fourth, getting the state to underwrite the risk involved. What emerges is a story of the deep penetration of the UK state by the private health care industry, including major players with a serious history of fraud.
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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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".