Addressing Cultural Competency in Pharmacy Education through International Service Learning and Community Engagement
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".