HEALTHY POPULATION STUDY – OPPORTUNITIES TO DEVELOP GLOBAL CITIZENS AND HEALTH CARE PROFESSIONALS
Bibliographic record
Abstract
The aim of the work. Cooperation between MacEwan University and I. Horbachevsky Ternopil National Medical University in the realization of the educational programme of Public Health. Materials and Methods. 23 students of the MacEwan University Nursing Faculty (including Canada, Ghana, Nigeria, and India) spent one week at I. Horbachevsky Ternopil National Medical University (TNMU). The work of students and teachers was focused on interactive learning of questions of global/planetary health issues and included flipped classroom format, seminars, team-based learning and field clinics coordinated by MacEwan faculty members in partnership with the TNMU members. Results and Discussion. Cooperation between TNMU and MacEwan University corresponds to the strategy of the MacEwan University Nursing Faculty: Nurses making a difference in the health of global communities and mission: transformative learning in nursing education and professional practice. The educational course was organized to the students to align with three essential components of planetary health: relationality, sustainability, and ways of knowing. Through interactive learning in an international setting, students developed a shared understanding of how people relate to each other and to their environments, compared Canadian and Ukrainian approaches to the Sustainable Development Goals, and created space for understanding different ways of knowing and how these enhance health and wellbeing. Students visited a variety of health care facilities, including pediatric clinics, mental health hospital, HIV clinic, perinatal centre, orphanages, and rehabilitation centres. Conclusions. Co-creation of the program, and involving Ukrainian students offers opportunities to examine and change nursing education and professional practice. The face-to-face format of the trip is invaluable in enhancing emotional and informal learning as well as developing capacity as global citizens. The course provides an excellent foundation for students who wish to pursue graduate studies in global health either in Nursing or in Public Health.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".