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Record W2013736047 · doi:10.1177/1527154404272610

The Health Bus: Healthcare for Marginalized Populations

2005· article· en· W2013736047 on OpenAlex
Isolde Daiski

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

VenuePolicy Politics & Nursing Practice · 2005
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsYork University
Fundersnot available
KeywordsMainstreamHealth careOutreachThematic analysisFlexibility (engineering)Focus groupNursingPopulationExploratory researchQualitative researchMedicinePublic relationsPsychologyBusinessSociologyPolitical scienceEnvironmental healthMarketingManagement

Abstract

fetched live from OpenAlex

The Health Bus, an innovative outreach program, serves the marginalized population of a large Canadian city. In this article, a needs assessment/evaluation study of its services is discussed. Barriers to mainstream healthcare and solutions are examined. This study was qualitative, descriptive, and exploratory and surveyed 58 client volunteers of the program through semistructured interviews and focus groups. Thematic analysis of data was carried out. The Health Bus was found to provide basic healthcare and supplies effectively. Clients value respectful treatment, competency of healthcare professionals, and accessibility, whereas disrespectful treatments and lack of transportation are barriers to mainstream healthcare. A conclusion of this study is that Health Bus services should be expanded with clients' input. Mainstream institutions need flexibility and a change in attitudes toward the marginalized.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.200
GPT teacher head0.584
Teacher spread0.384 · 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