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After Number Ten: What Do Former Prime Ministers Do?

2006· article· en· W2078636178 on OpenAlexaboutno aff
Kevin Theakston

Bibliographic record

VenueThe Political Quarterly · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsPrime ministerPoliticsCouncil of MinistersPrime (order theory)Quarter (Canadian coin)MemoirSpeculationPolitical scienceGovernment (linguistics)LawPublic administrationManagementEconomicsHistoryFinanceEconomic policy

Abstract

fetched live from OpenAlex

The article reviews the experience of former British prime ministers in the twentieth century. There is no fixed or predetermined role for former prime ministers. What they do after they leave office depends on personal choices and on circumstances. Some have largely disappeared from the political stage. Others have become active international ‘elder statesmen’. A couple‐Heath and Thatcher‐were embittered ‘models to avoid’. A quarter of the former prime ministers since 1900 have served in other government posts in their successors’ Cabinets, while a handful have turned down such appointments. Most have gone to the Lords, which offers a political platform, but sometimes they do not think much of the quality of the second chamber. The retirements of some former prime ministers have been clouded by money worries, but they nowadays get substantial pensions and can make money from business directorships, international lectures and writing memoirs. The article concludes with speculation about what Tony Blair's post‐premiership might hold.

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)0.011
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 score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.005
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0190.004

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 head0.011
GPT teacher head0.264
Teacher spread0.254 · 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
Published2006
Admission routes1
Has abstractyes

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