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Record W4401188171 · doi:10.62694/efh.2024.42

A Brief Discussion of the Impact of Service- Learning Experience on Physicians´ Manner of Practice

2024· article· en· W4401188171 on OpenAlexaffabout
Fern Brunger, Olivia Penney

Bibliographic record

VenueEducation for Health · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsService (business)PsychologyMedical educationMedicineBusinessMarketing

Abstract

fetched live from OpenAlex

Background: Service-learning combines student education with volunteer activities which benefit the community. The authors examined how service-learning through a Canadian medical student-run clinic for refugee newcomers shapes the subsequent practice style of physicians. The clinic (known as “The Gateway Program”) aims to improve access to medical care for refugees in the urban center in which the medical schoolis located, while teaching students about cross-cultural medicine. The connection between current practice styles and prior service-learning has not been well documented in the literature, despite value existing in examining the impact this educational tool has on physicians. The research question was: How does participation in service-learning shape the manner in which physicians subsequently deliver healthcare? Methods: The study qualitatively examines the experiences of former student coordinators of The Gateway Program who are now practicing Canadian physicians. Eight participants were interviewed. Data was subjected to thematic analysis. Results: Three key themes were identified: Advocacy, Social Determinants of Health, and Transferable Skills for Underserved Populations. Conclusion: Time served in the clinic is reported to have had a profound impact on participants’ current style of practice. The clinic exposed students early in their medical education to a functional model of care for the underserved which valued physician advocacy. As practicing professionals, they were able to draw upon this learning to inform their professional morals and style of practice.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.287
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.041
GPT teacher head0.456
Teacher spread0.416 · 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 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
Published2024
Admission routes2
Has abstractyes

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