Building effective partnerships: the role of trust in the Virus Resistant Cassava for Africa project
Why this work is in the frame
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Bibliographic record
Abstract
Virus Resistant Cassava for Africa (VIRCA) is an agricultural biotechnology public-private partnership (PPP) comprising the Donald Danforth Plant Sciences Center (DDPSC), National Agricultural Research Organization (NARO) of Uganda and Kenya Agricultural Research Institute (KARI). The project seeks to develop virus-resistant cassava for farmers in Kenya and Uganda. Yet, there is much public skepticism about the use of genetically modified (GM) crops and private sector involvement in Africa. This case study sought to understand the role of trust in the VIRCA partnership. We conducted semi-structured, face-to-face interviews to obtain stakeholders’ views on the challenges to, and practices for, building trust in the VIRCA partnership. Interviewee responses, together with relevant documents and articles, were analyzed to generate descriptions of how trust is operationalized in this evolving agbiotech PPP. Data were analyzed based on recurring and emergent themes from the interviewee responses. Various factors undermine and build trust in agbiotech PPPs. Individual and institutional enthusiasm and detailed collaborative agreements stipulating partner roles and responsibilities are likely to enhance trust among partners. On the other hand, negative perceptions propagated by international partners about the capacities of African institutions and scientists, coupled with slow regulatory processes in Africa, are likely to be impediments to trust building. Based on the findings of this study, we have derived four key lessons. First, differences in the capacity of the partner institutions and individuals should be respected. Second, technical and infrastructural capacity support for regulatory processes in Africa must be built. Third, detailed agreements and open and transparent partner practices during project implementation are necessary to dispel perceptions of inequality among partners. Fourth, institutional and individual commitment to succeed is important in initiation of the project. These lessons can be used by other agbiotech PPPs as a guide for building trust among partners and with the community.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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