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Constitutions and the Metropolis

2020· article· en· W3043684371 on OpenAlexaff
Ran Hirschl

Bibliographic record

VenueAnnual Review of Law and Social Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Toronto
FundersYale University
KeywordsPolityMegacitySovereigntyUrbanizationSociologyConstitutional theoryCorporate governancePolitical scienceLaw and economicsPolitical economyConstitutionLawPoliticsEconomicsEconomic growthEconomy

Abstract

fetched live from OpenAlex

Extensive urbanization and the consequent rise of megacities are among the most significant demographic phenomena of our time. Our constitutional institutions and constitutional imagination, however, have not even begun to catch up with the new reality. In this article, I address four dimensions of the great constitutional silence concerning the metropolis: ( a) the tremendous interest in cities throughout much of the social sciences, as contrasted with the meager attention to the subject in constitutional theory and practice; ( b) the right to the city in theory and practice; ( c) a brief account of what national constitutions actually say about cities, and more significantly what they do not; and ( d) the dominant statist stance embedded in national constitutional orders, in particular as it addresses the sovereignty and spatial governance of the polity, as a main explanatory factor for the lack of vibrant constitutional discourse concerning urbanization in general and the metropolis in particular.

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)0.003
metaresearch head score (Gemma)0.006
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: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.025
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.351
Teacher spread0.324 · 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
GenreReview

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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueAnnual Review of Law and Social ScienceSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207