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Record W2753914497 · doi:10.60082/0829-3929.1267

Planning as Property: Uncovering the Hidden Racial Logic of a Municipal Nuisance By-law

2009· article· en· W2753914497 on OpenAlexaffvenueabout
Heather Dorries

Bibliographic record

VenueJournal of Law and Social Policy · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsCarleton University
Fundersnot available
KeywordsSovereigntyStatutory lawLawIndigenousProperty (philosophy)State (computer science)Identity (music)Political scienceProperty lawPower (physics)Law and economicsSociologyProperty rightsPolitics

Abstract

fetched live from OpenAlex

In her landmark essay, Whiteness as Property, Cheryl Harris powerfully demonstrates how racial identity and property claims are co-produced in law. Through a genealogy of law starting with American slave law, Harris reveals how whiteness has evolved from a form of racial identity into a legally acknowledged and protected form of property. In this article I apply Harris’ framework to an analysis of two by-laws passed by the City of Brantford (Ontario) in 2008, in order to reveal a hidden racial logic within the statutory powers vested in municipalities. By analyzing these by-laws, as well as the litigation which followed, I demonstrate how the regulatory and enforcement powers of municipal planning processes can authorize settler colonial claims to property, while at the same time conferring upon municipalities the power to criminalize Indigenous assertions of territorial authority. Ultimately, the planning powers vested in municipalities are shown to play an important role in affirming the sovereignty claims of the settler state, while diminishing the sovereignty claims of Indigenous peoples.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.037
GPT teacher head0.353
Teacher spread0.316 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations32
Published2009
Admission routes3
Has abstractyes

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