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Record W4254154221 · doi:10.1017/cbo9780511511202

The Struggle for Constitutional Power

2007· book· en· W4254154221 on OpenAlexaff
Tamir Moustafa

Bibliographic record

VenueCambridge University Press eBooks · 2007
Typebook
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPoliticsPolitical scienceSupreme courtDemocracyOpposition (politics)SafeguardingAuthoritarianismPolitical economyConstitutionalismHuman rightsLawLaw and economicsEconomics

Abstract

fetched live from OpenAlex

For nearly three decades, scholars and policymakers have placed considerable stock in judicial reform as a panacea for the political and economic turmoil plaguing developing countries. Courts are charged with spurring economic development, safeguarding human rights, and even facilitating transitions to democracy. How realistic are these expectations, and in what political contexts can judicial reforms deliver their expected benefits? This 2007 book addresses these issues through an examination of the politics of the Egyptian Supreme Constitutional Court, the most important experiment in constitutionalism in the Arab world. The Egyptian regime established a surprisingly independent constitutional court to address a series of economic and administrative pathologies that lie at the heart of authoritarian political systems. Although the Court helped the regime to institutionalize state functions and attract investment, it simultaneously opened new avenues through which rights advocates and opposition parties could challenge the regime. The book challenges conventional wisdom and provides insights into perennial questions concerning the barriers to institutional development, economic growth, and democracy in the developing world.

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)0.012
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0100.053
Scholarly communication0.0170.019
Open science0.0020.007
Research integrity0.0050.015
Insufficient payload (model declined to judge)0.0100.003

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 head0.030
GPT teacher head0.253
Teacher spread0.223 · 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 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

Citations347
Published2007
Admission routes1
Has abstractyes

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