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Record W7036603010

The Criminalization of Homelessness in British Columbia: The BC Safe Streets Act

2022· other· en· W7036603010 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2022
Typeother
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationCriminalizationPovertyRepealGovernment (linguistics)DebtFreedom of informationPunitive damages
DOInot available

Abstract

fetched live from OpenAlex

The BC Safe Streets Act (BCSSA) criminalizes certain types of panhandling activities, including aggressive solicitation and captive audience solicitation. Given that panhandling is primarily a trade of people experiencing homelessness and extreme poverty, the primary objective of this project was to determine whether the costs of the BCSSA outweigh its benefits. This question was answered through a mixed-methods approach, utilizing qualitative data from a jurisdictional scan and literature review and quantitative data gathered through Freedom of Information requests (FOIs) to police departments across BC, as well as ICBC. The primary positive outcomes stemming from the BCSSA and similar legislation were related to reductions in problematic panhandling activity over temporally and geographically limited contexts. The negative outcomes stemming from the BCSSA and similar legislation were poor physical, social, and economic outcomes for those criminalized under the regime, significant debt burden placed on economically vulnerable populations, exacerbation of stigmatization leading to deeper entrenchment in homelessness and poverty, community rejection of support- and service-oriented policies, and a lack of evidence of long-term effectiveness. Ultimately, the most important recommendation that emerged from this research was that the Attorney General and Minister responsible for Housing should immediately repeal the BCSSA and instead address panhandling through evidence-based policies that address its root causes - poverty and homelessness.

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)0.002
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.008
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.243
Teacher spread0.218 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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