SUSTAINABLE DEVELOPMENT PRINCIPLES IN HEALTH PROMOTION AND NURSING EDUCATION
Bibliographic record
Abstract
The Sustainable Development Goals (SDGs), otherwise known as the Global Goals, are a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity. These 17 Goals build on the successes of the Millennium Development Goals, while including new areas such as climate change, economic inequality, innovation, sustainable consumption, peace and justice, among other priorities. The goals are interconnected – often the key to success on one will involve tackling issues more commonly associated with another. The collaboration with I. Horbachevsky Ternopil National Medical University (TNMU) and the Faculty of Nursing MacEwan University students and teachers in the realization of the Sustainable Development goals proposes the possibilities to study and change the professional practice and nursing education. Co-creation involves strategy: nurses making a difference in the health of global communities. 25 students spent one week at TNMU, focusing on global/planetary health issues and SDGs. Participants include faculty members and Ukrainian students as well as International students from several countries (including Canada, Ghana, Nigeria, and India). Instruction focused on interactive learning and included flipped classroom format, seminars, team-based learning and field clinics coordinated by MacEwan faculty members in partnership with the TNMU members. 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. The face-to-face format of the trip was 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 | 0.015 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".