Global Health Training Programs: An Opportunity for a New Perspective
Bibliographic record
Abstract
I belong to the Canadian Institutes of Health Research (CIHR) International Infectious Disease and Global Health Training Program (IID & GHTP). These are the program’s objectives (taken from: http://www.iidandghtp.com/iidghtp_program_objectives.html): 1) to equip trainees with the research, scientific knowledge, and skills to become outstanding researchers in infectious diseases and global health; 2) to create a novel and stimulating multidisciplinary and truly international research training environment that fosters creativity, opportunity, and innovation, and one that demands excellence; 3) to harness the unique opportunity offered by the critical mass of infectious diseases and global health infrastructure, research opportunities and outstanding scientists in the training of the next generation of infectious disease researchers; 4) to make available collaborative international research sites for the trainees’ primary research projects, sites for research practica and major course offerings; 5) to offer a shared learning environment, where trainees and mentors from all four of CIHR’s research pillars (clinical, social, basic, and epidemiology) and the four international training sites (Canada, Colombia, India, and Kenya) work cooperatively to explore issues of international infectious diseases and global health.
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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".