BioStruct-Africa’s capacity building workshops as a model for advancing the emerging community of structural biologists in Africa
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
Structural biology is crucial in understanding disease mechanisms and in driving drug and vaccine development—applications that are particularly relevant to Africa’s challenges—yet Africa faces significant barriers to advancing structural biology. Here, the authors outline a recent capacity building workshop run by BioStruct-Africa, focused on training of artificial intelligence tools such as AlphaFold, designed to foster a highly skilled community of structural biologists in Africa. Structural biology is crucial in understanding disease mechanisms and in driving drug and vaccine development—applications that are particularly relevant to Africa’s challenges—yet Africa faces significant barriers to advancing structural biology. Here, the authors outline a recent capacity building workshop run by BioStruct-Africa, focused on training of artificial intelligence tools such as AlphaFold, designed to foster a highly skilled community of structural biologists in Africa.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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