Phosphorus Recycling from manure – A Case Study on the Circular Economy : Work package 4
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
In this case study paper, phosphorus recycling from manure is discussed, with a special focus on the recycling process developed by the BioEcoSIM consortium.We analysed phosphorus flows globally, at a European level and on a national level, with a focus on the Netherlands.In the Netherlands, as in some other regions in Western Europe, there is excess supply of manure due to intensive livestock production.The oversupply, combined with legislation, generates a negative manure price.This negative manure price creates the business case for BioEcoSIM and other manure processing techniques.The BioEcoSIM technique processes manure into phosphorus and nitrogen fertilizer as well as an organic soil improver or biochar.By extracting from manure the useful components, transport costs are reduced.Furthermore, greenhouse gas emissions and particulate matter formation are decreased.However, since manure is already almost completely recycled on arable and pasture land, the effect on phosphorus flows is limited.The EU phosphorus flows show that the main losses of phosphorus in the food sector are through sewage sludge, other waste water and food waste, and not through manure.Nonetheless, losses of phosphate from manure do have a high environmental impact, since it causes eutrophication.This paper shows also what the macroeconomic consequences of phosphorus recycling from manure will be.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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