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Record W2102523843 · doi:10.1017/s0025727300000181

The Political Economy of the British National Health Service, 1945–1975: Opportunities and Constraints?

2008· article· en· W2102523843 on OpenAlexaboutno aff
John Stewart

Bibliographic record

VenueMedical History · 2008
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoPoliticsWelfare stateNational servicePublic administrationPopularityState (computer science)WelfareService (business)AusterityQuarter (Canadian coin)Political sciencePolitical economyLawSociologyEconomicsEconomyHistory

Abstract

fetched live from OpenAlex

The National Health Service (NHS) has often been regarded, by both academic commentators and the public, as the centrepiece of Britain's welfare state. It has retained a high degree of popularity, and politicians have had to take account of this, privately and publicly. So, for example, in the late 1950s a leading Conservative observed that the electorate might accept cuts in defence spending: “But meddle with National Health? That's political suicide.” A quarter of a century later Margaret Thatcher felt obliged to declare at the Conservative Party annual conference that “the National Health Service is safe with us”. The Labour Party has been particularly keen to associate itself with the NHS, playing on its central role in the service's creation. At the 2001 general election, for instance, the manifesto of the Scottish Labour Party proclaimed that: “For over 50 years, the NHS has been part and parcel of what it means to be British. Its foundations—tax-based funding and care according to need—remain as valid today as ever.” In doing so, it stressed the service's founding principles alongside the assertion that it is a central component of British identity.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score0.787

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0130.020
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.085
GPT teacher head0.318
Teacher spread0.234 · 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 designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2008
Admission routes1
Has abstractyes

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