On the agenda: North–South research partnerships and agenda-setting processes
Bibliographic record
Abstract
Co-operation between researchers in the global North and South is critical to the production of new knowledge to inform development policies. However, the agenda-setting process is a formidable obstacle in many development research partnerships. The first section of this article examines how bilateral donor strategies affect collaborative agenda-setting processes. The second section explores researchers' motivations for entering into North–South partnerships; the obstacles that Southern researchers encounter in agenda-setting processes; and the strategies that they employ to ensure that research partnerships respond to their concerns. This analysis suggests that while strong Southern research organisations are best placed to maximise the benefits of collaboration, donors and researchers alike are well advised to recognise the limitations of this approach and use it prudently, because North–South partnerships are not necessarily the best way to advance research agendas rooted in Southern priorities.
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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 | 0.106 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.016 | 0.031 |
| Scholarly communication | 0.025 | 0.022 |
| Open science | 0.002 | 0.030 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".