An umbrella review protocol of the evidence syntheses to inform vaccination practices and policies against COVID-19 pandemic in Africa
Bibliographic record
Abstract
In Africa, the rollout of COVID-19 vaccines is slower than in high income settings. Furthermore, in Africa, the rollout started in the first quarter of 2021 compared with earlier periods (December 2020 and January 2021) in high income settings. Optimal COVID-19 vaccination rollout in Africa should be guided by context-specific and up to date available evidence. We conducted an umbrella review to identify, analyze and characterize the evidence synthesis that is available and has the potential to inform COVID-19 vaccination practices and policies in Africa.
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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 | 0.204 | 0.268 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.013 | 0.011 |
| Bibliometrics | 0.022 | 0.022 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.085 | 0.020 |
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".