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Record W2293347773

THE CRIMINALIZATION OF POVERTY: MONTRÉAL’S POLICY OF TICKETING HOMELESS YOUTH FOR MUNICIPAL AND TRANSPORTATION BY-LAW INFRACTIONS

2011· article· en· W2293347773 on OpenAlexaboutno aff
Justin Douglas

Bibliographic record

VenueAppeal: Review of Current Law and Law Reform · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCriminalizationRacial profilingDignityPovertyCriminologyProfiling (computer programming)SociologyLawPolitical scienceGender studies
DOInot available

Abstract

fetched live from OpenAlex

“If, in the case of racial profiling, skin colour is the element that triggers police intervention, in the case of social profiling, the trigger is the visible signs of poverty or marginality. The stigmatization of the homeless in the Police Service of Montreal [Service de police de la Ville de Montreal (SPVM)] standards and policies as well as the ensuing police profiling, undermines the rights of the individuals concerned to the safeguard of their dignity without discrimination based on social status.”1

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.005
Scholarly communication0.0050.002
Open science0.0040.003
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0070.000

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 head0.048
GPT teacher head0.339
Teacher spread0.291 · 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 designObservational
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

Citations14
Published2011
Admission routes1
Has abstractyes

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Same venueAppeal: Review of Current Law and Law ReformSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207