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Record W7034864553

The Unwelcoming Bench: Understanding Hostile Architecture’s Potential Legal Issues

2024· article· en· W7034864553 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtPunishment (psychology)Economic JusticePunitive damagesCivil rightsPublic parkSocial justiceQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

On January 12, 2024, the Supreme Court agreed to hear the case of City of Grants Pass, Oregon v. Johnson to resolve the issue of whether an Oregon city’s regulation on public camping constitutes “cruel and unusual” punishment under the Eighth Amendment. The City of Grants Pass enacted three different ordinances that “prohibit sleeping on public sidewalks or streets and camping on streets, parks, or other publicly owned property.” If violated, the offender is “subject to civil citations and can be barred from entering a city park for 30 days. The challengers, three unhoused city residents, sought to block the city from enforcing these ordinances, arguing that it punished them and “all involuntarily homeless individuals” for “resting, sleeping and seeking shelter from the elements in Grants Pass.”\nThis post was originally published on the Cardozo Journal of Equal Rights and Social Justice website on February 21, 2024. The original post can be accessed via the Archived Link button above.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0160.058
Scholarly communication0.0160.015
Open science0.0030.010
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0160.001

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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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
Published2024
Admission routes1
Has abstractyes

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