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Record W1982702411 · doi:10.1080/00420980701427507

How to Turn a Beggar into a Bus Stop: Law, Traffic and the 'Function of the Place'

2007· article· en· W1982702411 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Studies · 2007
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConstitutionalityLawCode (set theory)Scope (computer science)Space (punctuation)BeggingLaw and economicsFunction (biology)UnpackingSociologyPolitical scienceComputer scienceConstitutionPhilosophy

Abstract

fetched live from OpenAlex

A review of recent Canadian case law on the constitutionality of legal controls on begging reveals the importance of an unacknowledged view of space and behaviour that I call the traffic code. The paper endeavours to take this code seriously, unpacking its logic and scope. In particular, it explores its legal effects, noting that it deflects rights-based arguments on behalf of the public poor. Its emphasis upon space, use and behaviour appears to be not only illiberal, but curiously aliberal, operating without reference to rights. It is suggested, however, that it may in fact rely upon some deeply liberal notions of rights and space. This, perhaps, allows for a rights-based critique of the traffic code. This, and other possibilities for challenges to the traffic code, are explored in the conclusion.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.993

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 studies0.0010.000
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 head0.044
GPT teacher head0.375
Teacher spread0.331 · 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