Implementing a health research communication program in a low resource country: Experience from Uganda’s Makerere University School of Public
Bibliographic record
Abstract
This field note presents what transpired in 18 months joint health research communication project at Makerere University School of Public Health. The project was the first of this nature at the university, in Uganda and probably in East Africa. Information on how the project was conceived, implemented and its results is given. It gives an overview of a communication framework that resulted from the process that informs anyone considering investing in research communication in a low resource institution or country. The note provides key themes of advocacy, community and user participation, influencing policy, fundraising and networking that arose from observations, interaction and activities and a situation review of the post project. It concludes that research communication in Uganda is still low and ill coordinated. Cette note de champ présente ce qui s'est passé dans le projet de communication recherche 18 mois mixte sur la santé à Makerere University School of Public Health. Le projet a été le premier de cette nature à l'Université, en Ouganda et probablement en Afrique de l'est. Informations sur la façon dont le projet a été conçu, mis en œuvre et de ses résultats est donné. Il donne un aperçu d'un cadre de communication qui résulte du processus qui informe toute personne tenant compte investir dans la communication de la recherche dans une institution de faibles ressources ou un pays. La note fournit les thèmes clés de la défense, la participation communautaire et l'utilisateur, peuvent influencer les politiques, la collecte de fonds et de réseautage qui découle des observations, interaction, des activités et une situation d'examen du projet post. Il conclut que la communication de la recherche en Ouganda est encore faible et mal coordonnée.
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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 | 0.046 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.027 | 0.012 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".