Developing collaborative approaches to international research: Perspectives of new global health researchers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Within a global context of growing health inequities, the fostering of partnerships and collaborative research have been promoted as playing a critical role in tackling health inequities and health system problems worldwide. Since 2004, the Canadian Coalition for Global Health Research (CCGHR) has facilitated annual Summer Institutes for new global health researchers aimed at strengthening global health research competencies and partnerships among participants. We sought to explore CCGHR Summer Institute alumni perspectives on the Summer Institute experience, particularly on the individual research pairings of Canadian and low- and middle-income countries researchers that have characterised the program. The results reveal that the Summer Institute offered an enriching learning opportunity for participants and worked to further their collaborative projects through providing dedicated one-on-one time with their international research partner, feedback from colleagues from around the world and mentorship by more senior researchers. Positive individual relationships among researchers, as well as the existence of institutional collaborations, employer and funding support, and agendas of local and national politicians were factors that have influenced the ongoing collaboration of partners. There is a need to more fully examine the interplay between individual and institutional-level collaborations, as well as their social and political contexts.
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.
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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it