Évaluer la durabilité des élevages en Agriculture Biologique et communiquer sur leurs externalités positives
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 Saffré basin is a drinking water catchment area classified as prioritary due to pesticide residues in the water. In response to this problem, local authorities have set a ‘zero pesticides’ target for 2040. A quarter of organic farms are already pesticide-free. However, the long-term viability of these farms is threaten by a crisis in demand for organic produce. In this context, eight organic farmers have joined forces to communicate the benefits of their practices and raise awareness among a wide range of audiences of the links between agriculture, health, food and the environment. Sustainability assessments were carried out on these farms using the IDEA4 method. These demonstrated the very high level of agro-ecological sustainability of the farms, linked to very low impacts on health and ecosystems. At the same time, an approach combining participatory workshops, document review and surveys has led to the design of a communication initiative, scheduled for this autumn in the form of a farm visit to which local elected representatives will be invited. The aim will be to raise awareness of the benefits of organic farming in preserving water resources, and of the need for public support in a difficult context. Recommendations were drawn up on the content and form of the event to maximise its impact. Other actions to raise awareness of the impact of food practices on agriculture, the environment and health, targeting school audiences or consumers, are envisaged.
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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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