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Record W7117121779 · doi:10.1016/j.gfs.2025.100898

Synergistic pathways to a circular bionutrient economy

2025· article· en· W7117121779 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Food Security · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsnot available
FundersNational Institute of Food and AgricultureNew York State Energy Research and Development AuthorityFoundation for Food and Agriculture ResearchLaidlaw FoundationMcKnight FoundationCornell University
KeywordsCircular economyNutrientGreenhouse gasNutrient cycleResource (disambiguation)Production (economics)Nutrient managementFood processingEcosystem

Abstract

fetched live from OpenAlex

Bionutrient circularity can increase food system sustainability. Global food production currently depends substantially on synthetic fertilizers, while massive volumes of crop residues, food scraps, and excreta are undervalued and mismanaged, contributing to environmental degradation and climate change. Transforming these organic underutilized resources through combinations of physiochemical, biological, and thermochemical processes can improve public hygiene while keeping carbon and nutrients within the food system. By redirecting both organic matter and nutrients to soils, bionutrient circularity can offset fertilizer and energy costs. Meanwhile, circular feeds can enable livestock sectors to grow without increasing land demands for crop production, much of which is currently fed to livestock. Synergistic integration of transformation processes and resource recovery pathways will unlock substantial economic and environmental benefits. Realizing the potential of a circular bionutrient economy, however, will require robust management of contaminants, navigation of context-dependent tradeoffs, and integration of sociocultural, technical, operational and regulatory innovation processes. Multiple transformation processes can be utilized to convert organic underutilized resources into products and ecosystem services in a circular bionutrient economy. Synergies among these processes can lead to viable pathways for reducing waste, keeping nutrients in circulation and regenerating nature by enhancing soil health, offsetting the greenhouse gas emissions associated with synthetic nitrogen production and use, alleviating pressure on land, fisheries (current sources of nutrients for animal feeds) and finite stocks of phosphorus, and reducing nutrient pollution. • Recycling nutrients and carbon from by-products to the food system can reduce pollution. • Biological, thermal, and physical transformation processes can be synergistic. • Biochar enhances many biological transformations. • Social, entrepreneurial and policy shifts are needed to support bionutrient circularity.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.005
GPT teacher head0.212
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it