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Record W1967785599 · doi:10.3390/pharmacy1010016

Addressing Cultural Competency in Pharmacy Education through International Service Learning and Community Engagement

2013· article· en· W1967785599 on OpenAlexafffund
Rosemin Kassam, Augusto Estrada, Yvonne Xian-han Huang, Birpaul Bhander, John B. Collins

Bibliographic record

VenuePharmacy · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsService-learningMedical educationPharmacyCultural competenceMandateCommunity engagementPersonal developmentPsychologyPedagogyMedicineNursingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

This paper describes the design, implementation and evaluation of a course in international service learning and community engagement for pharmacy undergraduate students. The course offered students opportunities to cultivate cultural competency in an international setting foreign to their own—Sub-Saharan Africa. The experience consisted of pre-departure preparation seminars followed by subsequent community immersion to experience, explore and confront personal attitudes and perceptions. A key feature of this course was its emphasis on a continuing cycle of learning, community engagement and reflection. Three students participated, a near-maximum cohort. Their daily self-reflections were qualitatively analyzed to document the impact of their cultural learning and experiences and revealed meaningful learning in the domains of self-assessment and awareness of their personal and professional culture, exposure to a participatory health delivery model involving the patient, the community and a multidisciplinary team and opportunities to engage in patient care in a different cultural setting. This proof-of-concept course provided students with experiences that were life-changing on both personal and professional levels and confirmed the viability and relevance of international service learning for the pharmacy field within its university-wide mandate.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.274
GPT teacher head0.495
Teacher spread0.221 · 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 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

Citations6
Published2013
Admission routes2
Has abstractyes

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