Global health education in Europe: an insight into the student’s perspective
Bibliographic record
Abstract
Abstract Background As the world grows ever connected, more importance is placed on aptness in Global Health. For medical students, incorporating social, environmental, cultural, and global issues in the curriculum is pivotal to their success as future medical professionals. In spite of this, students are dissatisfied with ongoing pedagogy. In review of existing evidence, we discovered that there is no set standard for European medical schools to follow in Global Health teaching. This is evidenced by variation in the course requirement and in the topical content covered. Consequently, students have self-perceived and actual gaps in their Global Health knowledge. Another point highlighted in our research was that despite the importance students have placed on Global Health education, they have viewed it as less relevant in comparison to other aspects of Medicine. To improve this lack of engagement, students have made suggestions that could potentially have a positive impact on teaching methods if they were to be implemented. Objectives Our background review and evidence gaps inspired us to conduct an online survey in our university. Examining this, together with reviewing existing evidence on student opinions and experiences from all over Europe, will give us the opportunity to uncover student sentiment towards Global Health education. Results Our survey is underway; its results will be discussed in our presentation. Conclusions In analysing existing survey results and in executing a survey in our medical school, we have gained some insight and understanding into the perspectives, knowledge gaps, and suggestions of medical students as concerns their Global Health education in Europe. These should be considered in forming and refining the Global Health curriculum of European medical schools. Key messages • Explore the attitudes and opinions of European students towards Global Health education. • The medical student’s perspective should be considered to guide a better-suited education in Global Health across Europe; this is of the utmost importance in a now globalised world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".