Discrepancies in households and other stakeholders viewpoints on the food security experience: a gap to address
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
This paper reports results from a case study on household food insecurity needs and the interventions that address them. It aimed at comparing households' perceptions on food insecurity experience and vulnerability to those of other stakeholders: community workers, programme managers and representatives from donor agencies. Semi-structured interviews with 55 households and 59 other stakeholders were conducted. Content analysis was performed, using a framework encompassing food sufficiency, characterization of household food insecurity and vulnerability of households to food insecurity. Overall, the results draw attention to a gap between households and the other stakeholders, where the later do not seem always able to assess the realities of food-insecure households. Other areas of divergences include: characteristics of food insecurity, relative importance of various risk factors related to food insecurity and the effectiveness of the community assistance to enhance the households' ability to face food insecurity. These divergent perceptions may jeopardize the implementation of sustainable solutions to food insecurity. Training of stakeholders for a better assessment of households' experience and needs, and systematic evaluation of interventions, appear urgent and highly relevant for an adequate response to households' needs. Collaboration between all stakeholders should lead to knowledge sharing and advocacy for policies dedicated to poverty reduction.
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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 | 0.005 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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