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Record W4385429224 · doi:10.25071/2291-5796.145

Policy-related Homelessness Discourses in Canada: Implications for Nursing Research, Practice, and Advocacy

2023· article· en· W4385429224 on OpenAlexaffvenueabout
Arnel Boras, Morris Komakech, Dennis Raphael

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsYork UniversitySt. Francis Xavier University
Fundersnot available
KeywordsSolidarityPoliticsHuman rightsPolitical scienceContext (archaeology)Public policyPublic administrationSociologyEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

Despite Canada’s commitment to several international human rights instruments recognizing the right to housing, homelessness remains widespread nationwide. Informed by critical political economy theory and critical discourse studies, we examined relevant literature focusing on homelessness policy-related documents in the Canadian context. The findings demonstrate interrelated homelessness policy discourses: 1) emergency shelters, 2) housing first, 3) social determinants of health, 4) human rights, and 5) political economy approach. We conclude that a critical political economy approach offers the most helpful way of understanding and responding to the homelessness crisis in Canada. Homelessness is a socioeconomic and political problem requiring nurses and health professionals to take sociopolitical actions. As nurses and health justice advocates, we stand in solidarity with labour movements to protect public health. This study can be adopted in local, national, and global settings.

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)0.022
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.345
Threshold uncertainty score0.759

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.044
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.011
Science and technology studies0.0560.041
Scholarly communication0.0180.006
Open science0.0040.013
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.000

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 head0.082
GPT teacher head0.509
Teacher spread0.426 · 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 designQualitative
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
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueWitness The Canadian Journal of Critical Nursing DiscourseSame topicHomelessness and Social IssuesFrench-language works237,207