Cultural Humility- Experience of a Nutrition Student at an African Clinic
Bibliographic record
Abstract
Background Demonstrating cultural humility is crucial in healthcare as it helps build bridges between healthcare practitioners and patients receiving care to understand their needs and tailor interventions. International placements are one of the best ways to enhance cultural humility. Methods This study investigated the externship experience of one Canadian undergraduate nutrition student at a North African clinic, utilizing Narrative Inquiry. Data were collected using the Narrative Reflective Process, specifically using drawings, proverbs, and mementos to share the participant’s story of experience. The reflection process was conducted in Ontario, Canada post arrival from the externship experience that took place one summer during the COVID-19 pandemic. Results The findings depict how student gained a deeper understanding of cultural humility, became aware of their own biases, and was able to comprehend and discover different perspectives to care delivery. Furthermore, diversifying their interactions and being immersed in different cultural situations opened their perspectives and enhanced their appreciation, nurturing their personal and professional development. The two main themes that emerged were self-reflection and care delivery constituents. Conclusion The study emphasizes the benefits of international placements for future development of healthcare practitioners, particularly in cultural humility. The student was able to gain a deeper insight into what cultural humility is in a relatively short period of time through this transcultural collaboration.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| 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".