164 A ROADMAP TO GLOBAL HEALTH EDUCATION: A STUDENT-LED LEARNING INITIATIVE.
Bibliographic record
Abstract
Purpose Rising rates of travel and migration, increasing challenges brought by aging populations and chronic diseases, growing urbanization, and the globalization of trade are making global health relevant to more and more medical careers. Infectious disease epidemics, international crises, and the number of people displaced due to conflict are all reminders to the general public as well as those involved in the delivery of health care of the interconnectivity and vulnerability of the world9s population. Students, residents, and physicians are eager to learn about and participate in global health but often have little understanding of where to begin. As such, BC Children9s Hospital (BCCH), in collaboration with medical students from the University of British Columbia (UBC), identified a need for the development of training experiences to help prepare health care students and professionals for effective and meaningful global health work. To provide the most beneficial training, there is a need to first understand the current level of global health background of students, residents, and faculty and to conduct a learning needs assessment to evaluate what kind of training would be most beneficial to them. Methods A working evening dedicated to global health education was held on March 31, 2006, which took the form of a panel of four speakers, followed by breakout focus groups. Focus groups were asked critical questions about the process by which a global health education curriculum would be offered. In addition to an evening focus group, a comprehensive on-line questionnaire was sent to all medical students and faculty in family practice, pediatrics, obstetrics/gynecology, and surgery to explore the subjects9 experiences in global health and categorical questions regarding subjects9 perceived needs for training and access to global health resources. Descriptive statistics for the study population will be analyzed. Main themes of the qualitative questionnaire data will be extracted and summarized. Categorical data will be tabulated and summarized to reflect subject responses to the needs assessment for global health education and resources. Conclusions A student-led steering committee specific for global health education is now in place. Grand funding has been awarded by the Vancouver Foundation and the Department of Pediatric Surgery at BCCH. A monthly hands-on global health education workshop has now evolved to address the key learning needs of students and faculty.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".