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Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicLegal and Constitutional Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStalemateMegacityConstitutionalismState (computer science)Political scienceCity-stateUrbanizationPopulationConstitutional lawPaceLawPolitical economyGeographySociologyEconomyEconomic growthPoliticsEconomicsDemographyDemocracy

Abstract

fetched live from OpenAlex

Abstract More than half of the world’s population lives in cities; by 2050, it will be more than three quarters. Projections suggest that megacities of 50 million or even 100 million inhabitants will emerge by the end of the century, mostly in the Global South. This shift marks a major and unprecedented transformation of the organization of society, both spatially and geopolitically. Our constitutional institutions and imagination, however, have failed to keep pace with this new reality. Cities have remained virtually absent from constitutional law and constitutional thought, not to mention from comparative constitutional studies more generally. As the world is urbanizing at an extraordinary rate, this book argues, new thinking about constitutionalism and urbanization is desperately needed. In six chapters, the book considers the reasons for the “constitutional blind spot” concerning the metropolis, probes the constitutional relationship between states and (mega)cities worldwide, examines patterns of constitutional change and stalemate in city status, and aims to carve a new place for the city in constitutional thought, constitutional law, and constitutional practice.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.013

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 head0.059
GPT teacher head0.190
Teacher spread0.131 · 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

Quick stats

Citations53
Published2020
Admission routes1
Has abstractyes

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