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Record W4414608082 · doi:10.15273/hpj.v5i1.12318

Halifax Outreach Prevention Education Support (HOPES) Student-Run Clinic: Bridging Community Health and Interprofessional Health Education

2025· article· en· W4414608082 on OpenAlexaffabout
Nadine Ayoub, Jessica Youssef, Meredith Leckey, Memoona Khalid, Sophia Butt

Bibliographic record

VenueHealthy Populations Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsMount Saint Vincent UniversityDalhousie University
Fundersnot available
KeywordsOutreachHealth promotionInterprofessional educationGeneral partnershipHealth educationHealth careHealth equityCommunity health

Abstract

fetched live from OpenAlex

This commentary explores the Halifax Outreach Prevention Education Support (HOPES) clinic, an interprofessional student-run clinic in Halifax, Nova Scotia, which unites students from eight different health disciplines. HOPES provides essential health care services to underserved communities while offering students valuable training in interprofessional collaboration, communication, and cultural competence. By fostering teamwork across disciplines, HOPES aligns with interprofessional health education principles, allowing students to develop skills critical to addressing health disparities. Notable initiatives include a vaccine clinic run in partnership with the North End Community Health Centre, which enhances access to immunizations for underserved populations, and health promotion pop-up events focused on community engagement. These projects underscore HOPES’s commitment to reducing health care inequities and promoting health literacy. By integrating diverse health professions, HOPES prepares students to become leaders in inclusive, patient-centred care, ultimately advancing health equity and well-being in the communities they serve.

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 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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.147
GPT teacher head0.595
Teacher spread0.448 · 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 teacher head, not a consensus.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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