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Record W3121221306 · doi:10.36644/mlr.118.2.new

The New Housing Segregation: The Jim Crow Effects of Crime-Free Housing Ordinances

2019· article· en· W3121221306 on OpenAlex
Deborah N. Archer

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMichigan Law Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
FundersYork University
KeywordsWhite (mutation)InequalityRace (biology)Political scienceFair Housing ActLawCriminologySociologyCivil rightsGender studies

Abstract

fetched live from OpenAlex

America is profoundly segregated along racial lines. We attend separate schools, live in separate neighborhoods, attend different churches, and shop at different stores. This rigid racial segregation results in social, economic, and resource inequality, with White communities of opportunity on the one hand and many communities of color without access to quality schools, jobs, transportation, or health care on the other. Many people view this as an unfortunate fact of life, or as a relic of legal systems long since overturned and beyond the reach of current legal process. But this is not true. On the contrary, the law continues to play a profound role in creating and legitimizing pat-terns of racial segregation all across America. Crime-free housing ordinances are one of the most salient examples of the role law plays in producing and sustaining racial segregation today. They are, in this respect, a critical mechanism for effectuating the new housing segregation. Crime-free housing ordinances are local laws that either encourage or require private landlords to evict or exclude tenants who have had varying levels of contact with the criminal legal system. Though formally race neutral, these laws facilitate racial segregation in a number of significant ways. This is the first article to explain precisely how they do so. The Article contends that crime-free housing ordinances enable racial segregation by importing the racial biases, racial logics, and racial disparities of the criminal legal system in-to private housing markets. While scholars have examined the important role local laws played in effectuating racial inequality, they have not paid attention to crime-free housing ordinances. In addition to foregrounding how crime-free housing ordinances reinforce and perpetuate racially segregated communities, this Article proposes an intervention: a “segregative effects” claim, an underutilized cause of action under the Fair Housing Act of 1968, to challenge this segregative impact. While this intervention would not end the pervasive nature of housing segregation across the United States, it could eliminate at least one of the causes of this persistent problem: a body of law whose formal race neutrality has obscured its racially segregative effects.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.288
Teacher spread0.271 · 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