D5.4. Report on best cropping systems and management practices that enhance soil biodiversity and the associated ecosystem services
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 deliverable D5.4 combines the results of deliverables D5.2 and D5.3 to develop and presentrecommendations for agricultural practice as an outcome of the different 15 case studies. They wereconducted across 17 different field sites - including commercial farms and experimental plotsdedicated to wheat, potatoes, and vegetables – and were established in six different Europeanpedoclimatic regions: Mediterranean South, Lusitanean, Atlantic Central, Continental, Nemoral,Boreal. Besides the location of each case study, the implemented management practices arepresented. For each case study, strategies to promote soil biodiversity and their main benefits arerecommended. Potential drawbacks are mentioned as far as known. This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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