Informing ‘good’ global health research partnerships: A scoping review of guiding principles
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
Background: Several sets of principles have been proposed to guide global health research partnerships and mitigate inequities inadvertently caused by them. The existence of multiple sets of principles poses a challenge for those seeking to critically engage with and develop their practice. Which of these is best to use, and why? To what extent, if any, is there agreement across proposed principles?Objective: The objectives of this review were to: (1) identify and consolidate existing documents and principles to guide global health research partnerships; (2) identify areas of overlapping consensus, if any, regarding which principles are fundamental in these partnerships; (3) identify any lack of consensus in the literature on core principles to support these partnerships.Methods: A scoping review was conducted to gather documents outlining ‘principles’ of good global health research partnerships. A broad search of academic databases to gather peerreviewed literature was conducted, complemented by a hand-search of key global health funding institutions for grey literature guidelines.Results: Our search yielded nine sets of principles designed to guide and support global health research partnerships. No single principle recurred across all documents reviewed. Most frequently cited were concerns with mutual benefits between partners (n = 6) and equity (n = 4). Despite a lack of consistency in the inclusion and definition of principles, all sources highlighted principles that identified attention to fairness, equity, or justice as an integral part of good global health research partnerships.Conclusions: Lack of consensus regarding how principles are defined suggests a need for further discussion on what global health researchers mean by ‘core’ principles. Research partnerships should seek to interpret the practical meanings and requirements of these principles through international consultation. Finally, a need exists for tools to assist with implementation of these principles to ensure their application in research practice.
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 | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it