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Record W1996479035 · doi:10.1080/14662043.2014.919732

A tale of two ex-dominions: why the procedures for changing the rules of succession are so different in Canada and Australia

2014· article· en· W1996479035 on OpenAlexaboutno aff
Andrew Smith, Jatinder Mann

Bibliographic record

VenueCommonwealth and Comparative Politics · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
FundersAustralian Government
KeywordsFederalismState (computer science)Government (linguistics)PoliticsEcological successionThronePolitical scienceNeoliberalism (international relations)Public administrationInheritance (genetic algorithm)Queen (butterfly)LawPolitical economySociology

Abstract

fetched live from OpenAlex

In 2011, the leaders of the nations that share Queen Elizabeth as their head of state agreed to change the rules governing the inheritance of the throne. The federal nature of the Canadian and Australian Crowns raises the question of whether Canadian provinces and Australian states should be involved in the process for modifying the rules of succession. Australia's federal government has decided to include its states in the process, whereas Canada's did not. This article will assess what the differences between these two approaches reveal about the political cultures and leaders of these nations. The issues discussed include relations between the civil service and elected politicians, the contested social memory of the British Empire, and the relationship between neoliberalism and cooperative federalism.

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)0.006
metaresearch head score (Gemma)0.013
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: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0310.032
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.092
GPT teacher head0.373
Teacher spread0.281 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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