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Record W2130896198 · doi:10.1093/icon/mor034

The Nordic counternarrative: Democracy, human development, and judicial review

2011· article· en· W2130896198 on OpenAlexaff
Ran Hirschl

Bibliographic record

VenueInternational Journal of Constitutional Law · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsUniversity of TorontoLockheed Martin (Canada)
Fundersnot available
KeywordsPolitical scienceDemocracyJudicial reviewContext (archaeology)LegitimacyGlobalizationWelfare stateHuman rightsJudicial activismRule of lawLaw and economicsLawPolitical economySociologyPoliticsGeography

Abstract

fetched live from OpenAlex

The Nordic countries’ changing constitutional scenery is a largely unexplored paradise for theory building in the field of comparative constitutional law and politics. As the articles in this symposium illustrate, the Nordic countries provide what is, arguably, a most fitting test case for examining the impact of transnational law on domestic constitutionalism, with its patterns of global convergence alongside enduring national divergence. Likewise, the Nordic experience calls for the incorporation of comparative politics or political economy theory into the study of constitutional law. This is particularly true with respect to the empirical examination of some core insights of post–World War II constitutional theory concerning the origins of constitutionalization and judicial review and the supposedly critical role of the latter in facilitating democracy and high levels of human development.

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)0.017
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: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.016
Scholarly communication0.0150.005
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.347
Teacher spread0.289 · 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
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

Citations25
Published2011
Admission routes1
Has abstractyes

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