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Record W2277183366 · doi:10.22145/flr.40.1.3

Proroguing the Parliament of Australia: The Effect on the Senate and the Conventions that Constrain the Prerogative Power

2012· article· en· W2277183366 on OpenAlexaboutno aff
Eliot Olivier

Bibliographic record

VenueFederal Law Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentCommonwealthPrerogativeConstitutionLawScrutinyPoliticsPolitical sciencePower (physics)House of CommonsSociology

Abstract

fetched live from OpenAlex

Abstract Political controversies in New South Wales and Canada recently have focused public attention on the constitutional practice of proroguing parliament. They have also shone a light on two lingering areas of uncertainty that surround its operation under the Commonwealth Constitution. This article seeks to clarify these two muddy areas of the law concerning prorogation. The first is the effect of prorogation on the Senate and its committees. Since Federation, the Senate has purported to authorise its committees to continue to function notwithstanding a prorogation of the Parliament. However, it is argued that this practice is unsupported by the provisions of the Constitution and the Senate has no such power. Second, the article examines the operation of the conventions that constrain the Governor-General's power to prorogue. Prorogation generally is exercised on the advice of the Prime Minister. However, this article contends that where a Prime Minister seeks to prorogue Parliament to avoid a vote of no confidence, the Governor-General will have a discretion to reject the advice. It may also be open to the Governor-General to reject an advice to prorogue where the purpose is to avoid scrutiny of a fundamental constitutional illegality. In Australia, the uncertainties that surround prorogation, coupled with the now precarious political landscape in Canberra, create the very real possibility of a prorogation crisis at the Commonwealth level. This article provides a response to these uncertainties. In doing so it offers a solution to how a prorogation crisis can be resolved, whilst maintaining the fine balance of power in our constitutional system.

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)0.010
metaresearch head score (Gemma)0.023
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 score0.172
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.023
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0080.003
Open science0.0010.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.065
GPT teacher head0.356
Teacher spread0.291 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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