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Record W4395090524 · doi:10.1017/9781009473194

Deciphering the Genome of Constitutionalism

2024· book· en· W4395090524 on OpenAlexaff
Ran Hirschl, Gary J. Jacobsohn, Howard Schweber, Monika Polzin, Jaclyn L. Neo, Stephen Gardbaum, Víctor Ferreres Comella, Joanne Wallis, Upendra Baxi, Ngoc Son Bui, Eugénie Mérieau, Ridwanul Hoque, Heinz Klug, Keigo Komamura, Gautam Bhatia, Sanford Levinson, Justin Buckley Dyer, George Thomas, Mark A. Graber

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConstitutionalismGenomeBiologyComputational biologyPolitical scienceGeneticsLawGeneDemocracy

Abstract

fetched live from OpenAlex

Constitutional identity has become one of the most important and hotly contested concepts in contemporary constitutional theory and practice. It has been repeatedly invoked in debates concerning EU integration, constitutional reform and revolution, and the spread of ethno-nationalist populism, democratic backsliding, and constitutional retrogression. Yet, the concept's precise foundations, meaning, scope, and dynamics of continuity and change remain somewhat unclear and under-explored. This contemporary and definitive volume aims to address this stark gap. Featuring some of the world's leading scholars of comparative constitutionalism, constitutional theory, and constitutional politics, this book provides a comprehensive, first-of-its-kind theoretical, comparative, normative, and empirical account of the concept of constitutional identity. It will be of great interest to scholars, students, jurists, and constitutional drafters alike.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.073
Scholarly communication0.0190.028
Open science0.0010.007
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.243
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2024
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207