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Record W2182828641

The MUN Med Gateway Project: marrying medical education and social accountability.

2015· article· en· W2182828641 on OpenAlexaffabout
Pauline Duke, Fern Brunger

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsRefugeeMainstreamAgency (philosophy)Gateway (web page)MedicineSettlement (finance)Health careNursingPublic healthCall to actionMedical educationFamily medicineSociologyPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: Access to a continuum of care from a family physician is an essential component of health and well-being; however, refugees have particular barriers in accessing medical care. OBJECTIVE OF PROGRAM: To provide access to family physicians and continuity of care for newly arrived refugees; to provide opportunities for medical students to practise cross-cultural health care; and to mentor medical students in advocacy for underserved populations. PROGRAM DESCRIPTION: The MUN Med Gateway Project, based at Memorial University of Newfoundland in St John's, is a medical student initiative that partners with the local refugee settlement agency to provide health care for new refugees to the province. Medical students conduct in-depth medical histories, with provision of some basic physical screening, while working through an interpreter with supervision by a family doctor and settlement public health nurse. Each patient or family is matched with a family physician. CONCLUSION: The project's adaptation of student-run clinics, which connects refugees with the existing mainstream medical system, has been an overwhelming success, making it a model for community action as an educational strategy.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.373
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations16
Published2015
Admission routes2
Has abstractyes

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