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Record W2740259405

Les Procédures de modification constitutionnelle dans les fédérations

2000· article· fr· W2740259405 on OpenAlexaboutno aff
Louis Massicotte, Antoine Yoshinaka

Bibliographic record

VenueRevue d'études constitutionnelles · 2000
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsUnanimityPolitical scienceLaw and economicsDemocracyNormativeLawAuthoritarianismPublic administrationPoliticsSociology
DOInot available

Abstract

fetched live from OpenAlex

By world standards, the search for an amending formula in Canada, and the debates thereon, have been exceptionally long-lasting and intense. Minimal consideration has been given to the amending procedures in force in other federations. Following a review of the literature, seven normative assumptions as to what a federal amending procedure should include have been identified. This paper checks whether federations actually comply with these assumptions. Constitutional amendment procedures are found to differ widely among federations. The principle that central governments should not be excluded from the process is the only one that is almost universally respected. The idea that States should be involved in one way or another is challenged by almost one-third of federations. While all central governments are endowed with the right to initiate amendments, States are in only half of federations. Referendums are found to be compulsory in less than one-quarter of federations. Three frequently advocated techniques for protecting particular States – unanimity, personal vetoes and opting-out – are very rarely found as part of the standard procedure, even in heterogeneous federations. Free and democratic federations do not differ markedly from more authoritarian ones, except by the greater incidence of referendums.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.059
GPT teacher head0.310
Teacher spread0.251 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2000
Admission routes1
Has abstractyes

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