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Record W3008633626 · doi:10.1080/0142159x.2020.1724920

Global health electives: Ethical engagement in building global health capacity

2020· article· en· W3008633626 on OpenAlexaffabout
Adriena De Visser, Jennifer Hatfield, Rachel Ellaway, Denise Buchner, Jeremiah Seni, Wilfred Arubaku, Josephine Nambi Najjuma, Gwendolyn Hollaar

Bibliographic record

VenueMedical Teacher · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStakeholderTanzaniaGlobal healthMedicineHost (biology)PerceptionStakeholder engagementMedical educationPublic relationsNursingPsychologyPolitical scienceSociologySocioeconomicsPublic health

Abstract

fetched live from OpenAlex

Purpose: Little is known about the impact medical trainees undertaking global health electives (GHEs) have on host institutions and their communities in low-and middle-income countries. The goal of this study was to explore the relationship dynamics associated with GHEs as perceived by host stakeholders at three sites in sub-Saharan Africa.Method: This case-based interpretive phenomenological study examined stakeholder perspectives in Mwanza, Tanzania, and Mbarara and Rugazi, Uganda, where the University of Calgary, Alberta, Canada has long-standing institutional collaborations. Between September and November 2017, 33 host stakeholders participated in semi-structured interviews and 28 host stakeholders participated in focus group discussions. Participant experiences were analyzed using interpretive phenomenological techniques.Results: The findings revealed that, although GHEs are well-established and a common experience for host stakeholders, their perceptions about who visiting medical trainees (VMTs) are remains indistinct. Participants acknowledged that there are a variety of benefits to GHEs, but overall VMTs appear to benefit the most from this unique learning opportunity. Host stakeholders described significant challenges and burdens of GHEs and recommended ways in which GHEs could be improved.Conclusions: GHEs need to be designed to better embrace ethical engagement and reciprocity with host stakeholders to ensure equity in benefits and responsibilities.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.417
Teacher spread0.349 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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