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Laws of the Street

2009· article· en· W2171064699 on OpenAlex
Mariana Valverde

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCity & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNegotiationArgument (complex analysis)ScholarshipIntersection (aeronautics)Order (exchange)Space (punctuation)Urban spaceSociologyLawPolitical scienceUrban studiesSAINTLaw and economicsRegional scienceGeographyHistoryCartographyBusinessComputer science

Abstract

fetched live from OpenAlex

Abstract Critical urban studies scholarship has documented numerous particular uses and misuses of law in urban contexts. This article argues that case studies of specific campaigns about urban space are insufficient, and that if we want to understand the quotidian negotiation of urban norms and urban order we need to undertake systematic studies of the everyday, largely unpublicized workings of the whole array of municipal legal tools that influence how spaces and activities are organized. This argument is pursued by way of an inventory of all the legal forces converging on a single streetcorner, the intersection of Bloor and Saint George streets in Toronto. Since Toronto's legal arsenal is very similar to that used by North American cities generally, the inventory is of more than local interest.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.487

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 studies0.0010.000
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 head0.022
GPT teacher head0.288
Teacher spread0.267 · 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