Living with insecurity: Food security, resilience, and the World Food Programme (WFP)
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
As the world’s largest humanitarian organization fighting hunger, and primary expositor of food insecurity in sub-Saharan Africa, the World Food Programme’s (WFP) activities offer a unique opportunity to examine the contemporary food-security nexus. In this article, we examine the ‘turn’ toward resilience in the practices and policies of the WFP. Our analysis emphasizes that resilience is one of a family of security strategies through which the WFP seeks to govern food security. As such, it is impossible to claim, as some have, that resilience is displacing security as the dominant logic for governing insecurity. Nevertheless, resilience is a cornerstone of the WFPs’ current activities. Whereas more familiar strategies of security attempt to pre-empt or contain disruptive events – in the context of food crises – resilience is a style of thinking that assumes the inevitability of unpredictable, high-impact events and aims to foster the capability for systems and people to adapt, absorb, and bounce back from their effects. Resilience, while championed as part of an overall solution to a range of ills afflicting human populations today, aims only to equip people and populations with the capacity to live with the instabilities of a neoliberal food system without questioning, destabilizing, or resisting the very sources of socio-economic and political instability.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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