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Record W2137179944 · doi:10.1177/1538513212447727

Compensated Taking

2012· article· en· W2137179944 on OpenAlexaff
Jason Cooke

Bibliographic record

VenueJournal of Planning History · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZoningPoliticsOrder (exchange)Plan (archaeology)Real estateEstatePower (physics)Public administrationExtension (predicate logic)Law and economicsSociologyLawPolitical scienceEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

In the first decades of the twentieth century, the concept of comprehensive zoning emerged in the United States as a legal method of imposing order upon unregulated urban growth. Despite formidable limitations on the extension of the police power before Euclid v. Ambler in 1926, the first comprehensive zoning ordinances were passed in New York city (1916) and Chicago (1923) where existing patterns of corporate-commercial development added complexity to the political process. This article examines how the zoning problem assumed particular dimensions in Chicago, shaped by a distinctive local geography, vested interests of an established real estate market and long-term planning objectives articulated in the 1909 Plan of Chicago. By focusing on the contentious issue of regulating building height and bulk in an established corporate-commercial district, this article illustrates how health and safety considerations were necessary to the political success of comprehensive zoning in Chicago, providing the necessary justification for the extension of the municipal police power.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.169
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1690.043

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 head0.115
GPT teacher head0.336
Teacher spread0.221 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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