South-to-south mentoring as a vehicle for implementing sustainable health security in Africa
Bibliographic record
Abstract
BACKGROUND: While sustainability has become a universal precept in the development of global health security systems, supporting policies often lack mechanisms to drive policies into regular practice. 'On-paper' norms and regulations are to a great extent upheld by frontline workers who often lack the opportunity to communicate their first-hand experiences to decisionmakers; their role is an often overlooked, yet crucial, aspect of a sustainable global health security landscape. Initiatives and programs developing transdisciplinary professional skills support the increased bidirectional dialogue between these frontline workers and key policy- and decisionmakers which may sustainably narrow the gap between global health security policy design and implementation. METHODS: The International Federation of Biosafety Associations' (IFBA) Global Mentorship Program recruits biosafety and biosecurity champions across Africa to provide local peer mentorship to developing professionals in their geographic region. Mentors and mentees complete structured one year program cycles, where they are provided with written overviews of monthly discussion topics, and attend optional virtual interactive activities. Feedback from African participants of the 2019-2020 program cycle was collected using a virtual Exit Survey, where aspects of program impact and structure were assessed. RESULTS: Following its initial call for applications, the IFBA Global Mentorship Program received considerable interest from professionals across the African continent, particularly in East and North Africa. The pilot program cycle matched a total of 62 individuals from an array of professional disciplines across several regions, 40 of which were located on the African continent. The resulting mentorship pairs shared knowledge, skills, and experiences towards translating policy objectives to action on the front lines. Mentorship pairs embraced multidisciplinary approaches to harmonize health security strategies across the human and animal health sectors. South-to-South mentorship therefore provided mentees with locally relevant support critical to translation of best technical practices to local capacity and work. CONCLUSION: The IFBA's South-to-South Global Mentorship Program has demonstrated its ability to form crucial links between frontline biosafety professionals, laboratory workers, and policy- and decision-makers across several implicated sectors. By supporting regionally relevant peer mentorship programs, the gap between health security policy development and implementation may be narrowed.
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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 | 0.022 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".