Cross-cultural school-based encounters as global health education
Bibliographic record
Abstract
Objective: Drawing on the concepts of the cosmopolitan person and democratic health education, this article explores the merits of primary school–based, cross-cultural dialogues for global health education. Design: A qualitative study of the learning outcomes of the Move|Eat|Learn (MEL) project. MEL facilitates cultural meetings, primarily Skype-based, between students from Kenya and Denmark, with the aim of promoting reflection on differences and similarities in everyday living conditions and their impact on health practices. Setting: Three Danish and one Kenyan primary schools. Methods: Qualitative analysis of 18 focus group discussions with 72 Danish and 36 Kenyan students. Results: Cross-cultural dialogues promoted students’ engagement and reflections on their own and peers’ health condition, access to education, food cultures, gender and family structures. Conclusion: Findings indicate the merits of cross-cultural dialogues as a means of educating students to become global health agents with a cosmopolitan outlook.
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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 | 0.018 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".