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Record W3127428062 · doi:10.24124/c677/20211756

The Right to Refuse First Ministers’ Advice as a Democratic Reform

2021· article· en· W3127428062 on OpenAlexaffvenueabout
Tyler Chamberlain

Bibliographic record

VenueCanadian Political Science Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsParliamentPrerogativeHouse of CommonsCabinet (room)LawDemocracySeparation of powersEnumerated powersPower (physics)Inherent powersPolitical sciencePublic administrationConstitutionLaw and economicsSociologyPoliticsEngineering

Abstract

fetched live from OpenAlex

Recent years have seen a rise in concern over excessive power of the Canadian Prime Minister Office. One area of note is the potential to abuse the prerogative power to advise the dissolution, prorogation, or summoning of parliament. This paper will review and evaluate two solutions – fixed election dates and codified conventions – before proposing and defending an alternative solution, namely strengthening the Crown’s right to refuse advice of First Ministers. This solution will be presented via Eugene Forsey’s Classic Theory of Parliamentary Government, which conceives of the Governor General as the guardian of parliament against the forces of centralization motivating the PM and cabinet. Such a conception, I will demonstrate, allows us to see how an empowered Governor General could serve as an effective check against the potential partisan misuse of the executive prerogative powers.The final section will reflect on the tension between strengthening the power of unelected Governors General and the project of democratic reform. I will conclude by suggesting that a proper conception of democratic reform in a Westminster system must balance responsiveness to voters with the ability of the House of Commons to hold the Prime Minister and Cabinet to account.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.324
Teacher spread0.305 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2021
Admission routes3
Has abstractyes

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