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Record W3198643327 · doi:10.1093/icon/moac040

Para-constitutional engineering and federalism: Informal constitutional change through intergovernmental agreements

2022· article· en· W3198643327 on OpenAlexaffabout
Johanne Poirier, Jesse Hartery

Bibliographic record

VenueInternational Journal of Constitutional Law · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsConstitutionalityLegislatureConstitutionFederalismConstitutional amendmentPolitical scienceCompromiseConstitutional reviewPoliticsLaw and economicsLawConstitutional lawSociology

Abstract

fetched live from OpenAlex

Abstract This article explores the phenomenon of informal constitutional change with a particular focus on the role played by intergovernmental agreements (IGAs) concluded between members of a federation. It has two objectives. The first is to add IGAs to the catalogue of methods through which constitutions are altered without recourse to formal amendment procedures. Using Canada as a case study, we highlight a paradox: by rendering unconstitutional certain legislative initiatives meant to circumvent formal rules of constitutional amendment, courts are actually inviting political actors, notably the executive branches, to resort to even more fluid and informal methods of altering the Constitution. Second, we bring the concept of “para-constitutionality” into the broader literature on informal constitutional change. Para-constitutionality captures two distinct dimensions of informal constitutional change which are often conflated. “Para” in the Greek sense signifies “circumvention.” The focus here is on effectivity, on the impact of mechanisms (such as IGAs) on the overall constitutional order. By contrast, “para” in the Latin sense means “against.” It is concerned with constitutional (in)validity. We seek to underscore that even when strategies are not found to be unconstitutional, they may nevertheless have a transformative impact on the overall federal architecture. In conclusion, we suggest that an implicit commitment to intergovernmental transactions and compromise, both inherent to federalism, may explain judicial benevolence in the face of negotiated para-constitutional engineering mechanisms, in contrast to unilateral legislative attempts at informal constitutional change.

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 categoriesScience and technology studies
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 score0.990
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.305
Teacher spread0.269 · 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

Citations7
Published2022
Admission routes2
Has abstractyes

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