MétaCan
Menu
Back to cohort
Record W7135824975

Interpretation of Constitutional Conventions in Cabinet Manuals and Court Decisions in Selected Westminster Systems

2025· dissertation· cs· W7135824975 on OpenAlexaboutno aff
Vojtěch Niederle

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2025
Typedissertation
Languagecs
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsCabinet (room)CLARITYInterpretation (philosophy)Constitutional interpretationFlexibility (engineering)Judicial interpretation
DOInot available

Abstract

fetched live from OpenAlex

Interpretation of Constitutional Conventions in Cabinet Manuals and Court Decisions in Selected Westminster Systems This thesis investigates the evolution of constitutional conventions in Westminster systems, focusing on the growing use of Cabinet Manuals as a tool for codifying these unwritten rules. While these manuals aim to enhance clarity and transparency, they also raise concerns about potentially undermining the flexibility that has historically been a defining characteristic of conventions. The thesis examines this tension by comparing four Westminster systems: Canada, Australia, the United Kingdom, and New Zealand. These countries offer a rich comparative framework, allowing for analysis of both codified and uncodified constitutions, revealing nuanced perspectives on the interplay between written and unwritten constitutional norms. Furthermore, the thesis analyzes the ways in which Cabinet Manuals and court decisions articulate and interpret constitutional conventions in Canada, Australia, the United Kingdom, and New Zealand. It seeks to understand whether these interpretations enhance clarity or risk undermining the inherent flexibility of these unwritten rules. The thesis will explore the following research questions: How do Cabinet Manuals articulate and interpret constitutional...

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.299
Teacher spread0.285 · 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 designObservational
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

Explore more

Same venueDigital Repository (National Repository of Grey Literature)Same topicCommonwealth, Australian Politics and FederalismFrench-language works237,207