Protocol Registration: The effects of pandemics on the vulnerability of food security in West Africa - A scoping review
Bibliographic record
Abstract
The review is a component of the IDRC project with its primary objective to examine the existing evidence from the literature on the level of past and current vulnerability of the West African food system and the four pillars of food security. Food security of all countries can be considered vulnerable during times of crisis and pandemics. However, developing countries, such as those in West Africa, already struggle to meet the United Nations zero hunger goals prior to the onset of COVID-19. Many of these same countries had previously faced similar challenges during the recent Ebola virus outbreak, making it imperative for us to understand just how pandemics/epidemics affected, and continue affecting food security. The review will search for and include quantitative and qualitative research as well as opinion pieces and readily available grey literature (e.g. media reports). The review methodology follows PRISMA guidelines with the formal proposed protocol registered at doi.org/10.17605/OSF.IO/PKH98. A copy of the registered protocol is provided here.
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.
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 | 0.065 | 0.238 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.022 | 0.027 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.435 | 0.067 |
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".