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Record W3124848975 · doi:10.18174/527866

Water’s role in a circular food system

2020· report· en· W3124848975 on OpenAlexaff
A.F.G. Antonis, Geert Hoekstra, Simkje Kruiderink, R.W. Nauta

Bibliographic record

Venuenot available
Typereport
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsImpact
Fundersnot available
KeywordsWater Framework DirectiveRainwater harvestingReuseCircular economyReclaimed waterWater conservationFood processingWater useProduct (mathematics)Production (economics)Order (exchange)BusinessEnvironmental scienceWater resourcesEngineeringFood scienceMathematicsWater qualityWaste managementEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Water is one of our greatest but finite resources and as such should be treated with special care. The framework for Community action in the field of water policy by the European Commission (Directive 2000/60/EC) states that water should be treated as heritage which needs to be protected. Water can vary in salinity, nutrient levels and levels of contamination (microbiological and/or chemical). For food production as well as for nature conservation, water plays a crucial role. In order to protect our fresh water sources from depletion, we need to reduce, reuse and recycle water in the most efficient way. Safeguard the future of our food supply and to prevent water from running out, the role of water in a circular food system needs to be made transparent. This report is innovative as it aims to open the dialogue about water’s role in a circular food system. Which types of waters could be identified from a circular perspective and to what extend do these interact with each other? The subdivision into green, blue and grey found in literature is enlightening, but falls short of giving a complete circular perspective. These three colours of water often represent a footprint approach related to one product (e.g. to produce one kilogram coffee requires x litres of fresh water). In this report a first exploration towards circular use is made to include nature in the analysis in addition to food production analysis. In order to broaden the dialogue of the representation of the world’s potential circular use of water, we have added six colours.

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.332

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)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.227
Teacher spread0.196 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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