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Record W4301208193 · doi:10.51952/9781847425515.ch007

Cheques and checks: New Labour’s record on the NHS

2002· book-chapter· en· W4301208193 on OpenAlexaboutno aff
Calum Paton

Bibliographic record

VenuePolicy Press eBooks · 2002
Typebook-chapter
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceBusinessOperations managementEconomics

Abstract

fetched live from OpenAlex

In some ways, New Labour has presented a tale of two health policies. In opposition, and in the early years of government, the general line was that improving the NHS required the abolition of the internal market rather than a major injection of extra resources. However, as the Conservatives found, claims of improved statistics of health policy failed to convince the public, who perceived that the service was getting worse. The most significant evolution of New Labour’s health policy came not with the White Paper of December 1997, The new NHS: Modern, dependable (DoH, 1997), but two years later. The decision by the Chancellor of the Exchequer and the Treasury to“stick to the Tory spending limits” for the first two years of the New Labour government meant that structural tinkering (as promulgated by the December 1997 White Paper) did not materially change the public’s perception of the NHS. It was arguably an ‘evaluation’ in January 2000 by the independent-minded Labour peer Lord (Robert) Winston in the New Statesman that the NHS was in a worse state than the health service in Poland, and that New Labour had failed to keep its promises (including the abolition of the internal market) that prompted the second phase (cf Timmins, 2001). Although some of this was later qualified, the message was clear: the jewel in New Labour’s crown, the NHS, required significant polishing. This came in the form (first) of the Prime Minister’s announcement of new money in February 2000 and (second) of the NHS Plan, announced in July 2000.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.327
GPT teacher head0.437
Teacher spread0.110 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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