Food systems resilience dialogue and pathway development : Jonglei State and Greater Pibor Administrative Area - South Sudan
Bibliographic record
Abstract
Food systems in Jonglei State and Greater Pibor Administrative Area (GPAA), South Sudan, are in dire crisis because of multiple shocks and stressors, persisting conflict and violence, climate change, and natural resource deterioration.However, building upon South Sudan's national food systems dialogue, ample opportunities exist to build food systems resilience in Jonglei State and GPAA through strengthening the capacity of people to produce and access nutritious and culturally acceptable food over time and space in the face of natural and/or man-made shocks and stressors.Food systems approaches are increasingly seen as a way forward to develop sustainable food systems in protracted food crisis, as highlighted by the UN Food Systems Summit, the Global Network Against Food Crises, and the Fighting Food Crises along the Nexus Coalition.It is therefore most opportune to act now by investing in an urgently needed transformation towards equitable, inclusive, and sustainable food systems for improved outcomes, in particular food and nutrition security in protracted food crises contexts.For South Sudan this means, in line with the outcomes of its national food systems dialogue, addressing four strategic challenges to transform the country's food systems: 1) strengthening the resilience of food systems in face of current and future shocks and stressors; 2) developing food systems that contribute to social cohesion and peace; 3) ensuring that food systems are based on sustainable use and management of natural resources and produce healthier diets, and; 4) promoting sustainable food supply systems through inclusive value chains and agribusinesses with an eye on youth employment.Governance of food systems takes place at multiple levels and scales but transformation of local food systems will only succeed if communities, civil society organizations, small producers, farmers, and indigenous groups -with their local knowledge, and lived-in experiences -can shape how food is governed.The Jonglei State and GPAA food systems resilience dialogue & pathway development (FoSReD-PaD) provides a contribution to understand local food system dynamics and to strengthen local governance of food systems for improved food systems resilience and outcomes.The Jonglei State and GPAA dialogue envisaged a total of four pathways, in line with South Sudan's national food systems transformation pathways, which together form a roadmap to transform its food systems to become more resilient, better serve the needs of all stakeholders (in particular smallholder farmers/agropastoralists and herders), and improve food and nutrition outcomes for all.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".