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Record W2973127699 · doi:10.1111/gec3.12473

Geographies of land use: Planning, property, and law

2019· article· en· W2973127699 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGeography Compass · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProperty (philosophy)Land lawLand useUrban planningLand-use planningProperty lawFutures contractPolitical scienceProperty rightsGeographyLawSociologyEnvironmental planningLaw and economicsLand tenureBusinessCivil engineeringEngineeringEpistemology

Abstract

fetched live from OpenAlex

Abstract In this article, we draw attention to the geographies of “land use,” which to date have been underexamined and undertheorized within urban geographical literature. To do so, we review insights from a growing set of literature in geography, urban planning, law, and socio‐legal studies, among others, to outline how urban space is shaped through the relationships between land use, planning, property, and law. We first look at the relationships between land‐use planning and power relations in place. We go on to focus on the law, and the ways in which it structures and controls land use, property, and social activities in the city. We conclude by reviewing how law and legal concepts can serve as instruments of resistance and a source of alternate futures in urban spaces. In sum, we argue that a deeper interrogation of land use , and its relationships to planning, property, and law, can lead to a better understanding of how liberal‐democratic cities operate, and offer tools for resisting opaque and legalistic land‐use planning programs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.984

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)0.0000.000

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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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