Enhancing cultural competence: Trans‐Atlantic experiences of European and Canadian nursing students
Bibliographic record
Abstract
This paper describes the enhancement of cultural competence through trans-Atlantic rural community experiences of European and Canadian nursing students using critical incident technique (CIT) as the students' reflective writing method. The data generated from 48 students' recordings about 134 critical incidents over a 2-year project were analysed by qualitative content analysis. Five main learning categories were identified as: cross-cultural ethical issues; cultural and social differences; health-care inequalities; population health concerns; and personal and professional awareness. Four emergent cultural perspectives for the health sector that became apparent from the reflections were: health promotion realm; sensitivity to social and cultural aspects of people's lives; channels between the health sector and society; cultural language and stories of local people. CIT was successfully used to foster European and Canadian undergraduate students' cultural reflections resulting in considerations and suggestions for future endeavours to enhance cultural competence in nursing education.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.035 | 0.013 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".