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Record W2021403243 · doi:10.5402/2012/718303

Education in Global Health: Experience in Health-Promoting Schools Provides Trainees with Defined Core Competencies

2012· article· en· W2021403243 on OpenAlexaffabout
Shreya Moodley, Arabat Kasangaki, Andrew Macnab

Bibliographic record

VenueISRN Education · 2012
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCore competencyGeneral partnershipMedical educationMedicineMultidisciplinary approachGlobal healthHealth careInterprofessional educationCurriculumHealth educationNursingPsychologyPublic healthPedagogyPolitical science

Abstract

fetched live from OpenAlex

Introduction . Medical education has defined essential “universal” core competencies. The value of global health education gained through participation in a health-promoting school project was assessed using Canada’s CanMEDS roles and competencies. Methods . The project involved health care trainees in delivery of “Brighter Smiles,” a global health education program addressing children’s oral health in Canada and Uganda based on the WHO health-promoting (HP) school model. Multidisciplinary teams first visit a Canadian First Nations community for an introduction to HP schooling, team building, and experience working in different cultural environments and then have 4–6 weeks of global health project delivery in rural HP schools in Uganda in partnership with local College of Health Sciences trainees/faculty. Learning opportunities afforded were evaluated by conventional questionnaire and pilot categorization against the 7 CanMEDS roles (divided into 126 core competencies). Results . All collaborator and health Advocate competencies and 16/17 of the communicator roles were addressed. Overall, project experience included 88 (70%) of the 126 competencies. Conclusions . This pilot suggests CanMEDS criteria can be used to effectively evaluate trainee participation in HP school program delivery, allowing the comprehensive educational opportunities to acquire global health knowledge and skills reported by conventional evaluation to be formally categorized against defined educational roles and competencies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.042
GPT teacher head0.388
Teacher spread0.346 · 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 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

Citations4
Published2012
Admission routes2
Has abstractyes

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