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The Crown, Prime Minister and Government

2020· book-chapter· en· W3164127911 on OpenAlexaboutno aff
W. Elliot Bulmer

Bibliographic record

VenuePolicy Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsPrime ministerMajestyCommonwealthMonarchyState (computer science)Queen (butterfly)LawLegislaturePolitical scienceGovernment (linguistics)Legislative assemblyAncient historyHistoryPoliticsPhilosophy

Abstract

fetched live from OpenAlex

This chapter reviews the earliest Westminster Model constitutions that took unambiguously monarchical forms, namely those of Australia, Canada, New Zealand, and South Africa. It talks about the power that was vested in the Crown, which was an integral part of the legislature even in the post-war era. It also mentions former colonies that became independent from the British Empire and did not cease to be part of 'Her Majesty's dominions' as they continued as Commonwealth realms with the functions of the Head of State being performed by a Governor-General nominally appointed by the Queen. The chapter explains how Ireland and Burma retained Westminster Model constitutions in republican guise, with a ceremonial figurehead president that take over the functions that would normally be performed by a Governor-General. It identifies Bangladesh, Dominica, India, Ireland, Malta, Samoa, and Trinidad & Tobago as current examples of Westminster Model republics.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0050.003
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.328
Teacher spread0.246 · 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
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
Published2020
Admission routes1
Has abstractyes

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