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Record W4395099575 · doi:10.46692/9781447368625.014

After 75 years, whither the NHS? Some conclusions

2023· other· en· W4395099575 on OpenAlexaboutno aff
Martin Powell, Mark Exworthy, Russell Mannion

Bibliographic record

Venuenot available
Typeother
Languageen
FieldHealth Professions
TopicHealthcare Systems and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Introduction We opened this book (Chapter 1) by observing that the NHS was in a parlous and unprecedented position. Now that the contributors have surveyed the period across a range of domains, there seems to be very little evidence to revise that verdict. Over its 75 years, the NHS has seen a number of ‘big bang’ reforms and many more, smaller incremental reforms (Tuohy, 2018). While there has been a great deal of analysis on the former (Robinson and Le Grand, 1994; Le Grand, Mays and Mulligan, 1998; Thorlby and Maybin, 2010; Exworthy Mannion, 2016), there is a danger that the smaller but cumulative changes of the latter may be missed (Powell, 2016). Cumulative incremental changes are harder to detect and assess and receive less publicity than large-scale (big bang) reforms which are often heralded with much fanfare and public debate. Large-scale reforms of health systems such as the NHS may be somewhat constrained by its own logics (Tuohy, 1999) but they might also have a negative impact on the resilience of the NHS. Individual reforms (or a programme of them) may not necessarily lead to a loss of resilience at that time but repeated reforms may undermine the cohesion of its structures and processes. The rapidity of such change might only serve to weaken such cohesion further (Thorlby and Maybin, 2010; Exworthy and Mannion, 2016: 8; Timmins, 2012; Exworthy and Mannion, 2016: 8). Without a comprehensive and longitudinal evaluation programme, the cumulative impact of healthcare reforms will remain uncertain or unknown. In this book, we have sought to offer a comprehensive analysis of the state of the NHS in its 75th year. The four analytical axes (governance; public/private, central/local, and profession/state; introduced in Chapter 1 and reprised next) provided an overarching framework which applied, more or less, to the individual chapters. The subjects of these chapters enabled, we argue, a comprehensive coverage of the main dimensions of the NHS in its first 75 years. We note, however, the absence of topics, such as workforce wellbeing and diversity, and environmental sustainability (among others), from our analysis but we urge others to engage with these topics in future research.

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)0.012
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0060.011
Scholarly communication0.0120.016
Open science0.0020.004
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0350.006

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 head0.082
GPT teacher head0.447
Teacher spread0.365 · 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
GenreCommentary

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
Published2023
Admission routes1
Has abstractyes

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