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Record W4416959897 · doi:10.4337/ccs.2025.0054

Constitutional change referendums: the democratic cost of failure

2025· article· W4416959897 on OpenAlexaff
Li‐kung Chen, Oran Doyle

Bibliographic record

VenueComparative Constitutional Studies · 2025
Typearticle
Language
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsTrinity College
Fundersnot available
KeywordsReferendumConstitutional amendmentConstitutionalismConstitutional economicsArgument (complex analysis)LegislationNormativeJurisprudence

Abstract

fetched live from OpenAlex

Integrating perspectives from jurisprudence and political theory, this paper presents constitutional change referendums as a form of legislation in which two collective actors must agree on legal change: the representatives who formulate an amendment proposal and the voters who decide whether to approve or reject that proposal. Referendum failure occurs where there are alternative constitutional arrangements dealing with the same subject matter in respect of which the proposers and voters could form congruent intentions, but that alternative is not realised. This outcome is normatively problematic because constitutions are already more difficult to change than ordinary law; if plausible changes that would appear to meet the constitution’s thresholds cannot be made, the democratic deficit of constitutionalism increases. In this respect, our normative argument assumes the value of – limited – constitutional flexibility. Applying this framework to the recently rejected referendums in Ireland, Australia, Chile and Taiwan, we argue that the first three represent referendum failure. In each case, it is at least plausible that there was an alternative constitutional arrangement to which both proposers and voters could have agreed. But the situation in Taiwan is more significant than referendum failure. In Taiwan, no amendment proposal can plausibly meet the amendment thresholds, a problem that is tantamount to constitutional failure.

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), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.058
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.252
GPT teacher head0.424
Teacher spread0.172 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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