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Record W1969061914 · doi:10.3917/riges.273.0125

Le changement dirigé par le haut au Royaume-Uni : un point de vue politique

2002· article· fr· W1969061914 on OpenAlexvenueno aff
Ewan Ferlı́e, Louise Fitzgerald

Bibliographic record

VenueGestion · 2002
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Résumé Cet article s’appuie sur une analyse de l’expérience britannique pour souligner les difficultés et les risques associés aux grandes réformes pilotées par le haut. En effet, le système de santé du Royaume Uni a fait l’objet d’une série de réformes radicales depuis 1979 jusqu’à aujourd’hui passant du «marché interne» mis en place par le gouvernement Thatcher à «l’agenda de modernisation» de l’actuel gouvernement travailliste. Toutes ces grandes réformes reflètent d’une part l’évolution des idéologies politiques et d’autre part le pouvoir de l’état central d’imposer des transformations majeures des structures et des incitations. Ces grandes transformations structurelles produisent certainement des effets, mais pas nécessairement ceux visés au niveau du pouvoir des patients et de la qualité des soins. Les schèmes d’interprétation et les modes de pratiques ne se transforment pas au même rythme que les structures. Par ailleurs, ces bouleversements continus créent des coûts de transaction élevés. Les auteurs terminent par un appel à la modération et à la réflexivité dans les projets de réforme mis de l’avant par les gouvernements.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.202
Threshold uncertainty score0.402

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.017
Scholarly communication0.0100.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.001

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 head0.106
GPT teacher head0.402
Teacher spread0.296 · 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
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

Citations3
Published2002
Admission routes1
Has abstractyes

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