Contribution of traditional fermented foods to food systems transformation: value addition and inclusive entrepreneurship
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
Abstract To date, many efforts to eradicate hunger include increasing agricultural production, processing of raw materials and supplementation, and fortification of foods. Locally produced foods represent a significant part of Food Systems as they contribute to tackling hunger and malnutrition. However, few studies have investigated the processing of traditional fermented foods at household level as a means to improve nutrition and triggering inclusive entrepreneurship, two crucial dimensions Food Systems build on. Fermentation is an ancient processing technique that relies on transformation of raw materials by microbial activity and is mainly undertaken by women. This paper posits that upscaling small scale fermented food processing activities while enhancing functional food properties and fostering women entrepreneurship contributes to prevention of food losses, promotion of nutrition and health, and entrepreneurial opportunities for current processors. This is key for effective policy interventions to foster food security in challenging contexts.⨪.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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