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Funding in the NHS: Life after RAWP

2000· book-chapter· en· W4388278841 on OpenAlexaboutno aff
Howard Glennerster, John Hills, Tony Travers, Ross Hendry

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMilestoneQuarter (Canadian coin)Service (business)Resource (disambiguation)Process (computing)BusinessOperations managementEconomicsMarketingComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract We saw in the previous chapter that the publication of the Resource Allocation Working Party (RAWP) Report in 1976, and the essential acceptance of its recommendations, was something of a milestone in establishing a quantifiable measure of relative need. However, it was only the beginning of an evolutionary process. Though the new RAWP formula allocated the greater part of the NHS recurrent budget, about three-quarters, the remaining quarter continued to be allocated to general practitioners and to dentists on quite different principles. They were not salaried employees of the service. They were individual contractors with it. The sums they received to run their essentially private businesses were designed to give them an average income negotiated with their trade unions each year. It was not until right at the end of the period we are studying that an attempt was made to bring these allocation systems together in a tentative way. We discuss that at the end of this chapter.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.005
Scholarly communication0.0070.007
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0160.004

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.

Opus teacher head0.112
GPT teacher head0.448
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2000
Admission routes1
Has abstractyes

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