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The Metropolis in “Old World” Constitutional Law

2020· book-chapter· en· W3080466347 on OpenAlexaboutno aff
Ran Hirschl

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStalemateMegacityPoliticsPolitical scienceGovernment (linguistics)Constitutional lawSovereigntyConstitutionalismUrbanizationPolitical economyLawEconomySociologyDemocracyEconomic growthEconomics

Abstract

fetched live from OpenAlex

Abstract This chapter examines the constitutional subjugation of the metropolis throughout much of the Global North in constitutional orders adopted over a two-century span between the late eighteenth century and the 1970s, from the United States and Canada to the United Kingdom, Western Europe, and Australia. It illustrates how constitutional stalemate has emerged in these countries as a result of hardwired city-subverting constitutional frameworks, rigid amendment rules, a lack of political incentives to empower cities, and oftentimes proactive resistance to city power. At least two lessons may be drawn from this chapter. First, in contrast to North America, where litigation is the main channel for debating the constitutional status of urban centers, the megacity discussion in Europe is largely taking place in central government planning and policy-making circles. Second, when it comes to urban agglomeration, the Global North has witnessed a great constitutional silence.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.024
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.052
GPT teacher head0.312
Teacher spread0.259 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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