Policy Brief 3: Research and Innovation Supporting the Farm to Fork Strategy of the European Commission
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
The EU Think Tank(as part of theFIT4FOOD2030 Coordination and Support Action) strongly supports the development of the Farm to Fork Strategy as a key component of the European Green Deal, recognising the need to transform the food system as a whole. This policy brief calls for innovative approaches tothe Farm to Fork Strategy to provide practical answersto two central questions: i) how can a shift towards healthier and more sustainable diets be facilitated?;and ii) how can all actors in the food system be empoweredto adopt more sustainable practices? Answers tothese questions raise the need fornew transdisciplinary, multi-actor and participatory Research and Innovation (R&I)approachesthat enable citizens,farmers, fishers, food processors, distributors, retailers and consumers to contribute to more coherent, cross policy-sector food initiatives that leverage on European food systems to deliver a balance of public goods (including food security and environmental integrity).
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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