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Record W4408152637 · doi:10.5750/dlj.v33i1.2230

Role for Parliament in Independent Judicial Appointments: Insights from the Comptroller and Auditor General

2025· article· en· W4408152637 on OpenAlexaboutno aff

Bibliographic record

VenueThe Denning Law Journal · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentPolitical scienceLawAuditAccountingBusinessPolitics

Abstract

fetched live from OpenAlex

In the UK, there is a debate as to whether Parliament should have a role in judicial appointments similar to the that of the US Senate. The minority in favour of this position argues that it would enhance the democratic legitimacy of the judiciary – who are currently selected by various independent commissions – and refers to the proposed reform’s coherence with the general practice of pre-appointment hearings in the UK (such as for the Chair of the Equality and Human Rights Commission) and other parliamentary systems. However, the majority against this position argues that meaningful input into judicial appointments, by parliamentarians, would necessarily undermine the impartiality of the judiciary and outweigh the benefits of judicial democratisation. This paper seeks to add to the debate by establishing a detailed proposal for a parliamentary confirmation model for nominations to the UKSC and arguing that it would be both consistent with and enhancing to judicial independence. The research compares the constitutional foundations and historical origins of the Comptroller and Auditor General – an independent office co-nominated by the Government and Opposition, but confirmed by Parliament – and the UKSC, plus the American and Canadian Supreme Courts. This paper fundamentally argues three points: that there is a democratic deficit in the UKSC judicial appointment model; that the Comptroller and Auditor General is sufficiently equivalent to the UKSC so that its appointment model could be translated onto judicial appointments; and that said translation would remedy said democratic deficit, without compromising the non-partisanship of the UKSC.

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)0.014
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 score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.021
Scholarly communication0.0120.006
Open science0.0020.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.235
Teacher spread0.222 · 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
Published2025
Admission routes1
Has abstractyes

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