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Record W4247424246 · doi:10.3167/004058105780929273

Constitutional Learning

2005· article· en· W4247424246 on OpenAlexaboutno aff
Andrew Arato

Bibliographic record

VenueTheoria · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionDemocracyFederalismPoliticsPolitical scienceConstitutional crisisLiberal democracyLawPresidential systemPolitical economyPublic administrationSociology

Abstract

fetched live from OpenAlex

Constitutional politics has returned in our time in a truly dramatic way. In the last 25 years, not only in the new or restored democracies of South and East Europe, Latin America and Africa, but also in the established liberal or not so liberal democracies of Germany, Italy, Japan, Israel, New Zealand, Canada and Great Britain, issues of constitution- making, constitutional revision and institutional design or redesign have been put on the political agenda. Even in the United States, given the new or renewed problems of our versions of presidentialism, federalism and electoral regime, Article V has come to be experienced as a veritable prison house, and judicial constitutionmaking (think of Buckley v Valejo) is often seen as much as a threat to, as the protection of, democratic mechanisms. And, most recently, in countries currently experiencing externally imposed revolutions1, namely Afghanistan and Iraq, constitution-making has turned out to be a central stake in the ongoing political process. We are living in an epoch in which the nations seem to be slouching, or being prodded, toward Philadelphia and Americans, as the heirs of Madison and MacArthur, are sorely tempted to try teaching others the secrets of its success as a supposedly continuous 200-year-old constitutional democracy. But to be an effective teacher, it is not enough to be in a position of political-military superiority. One must first relearn to learn and even to re-learn.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.303
Teacher spread0.283 · 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

Citations4
Published2005
Admission routes1
Has abstractyes

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