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Record W4387195676 · doi:10.18174/632622

Monitor voortgang verduurzaming voedselketens : Droge kruidenierswaren

2023· report· nl· W4387195676 on OpenAlexaff
Michiel van Galen, M.P.H. Selten, Nera Herceglić, S.R.M. Janssens, E. Georgiev, W.H.M. Baltussen

Bibliographic record

Venuenot available
Typereport
Languagenl
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsImpact
Fundersnot available
KeywordsBusinessCertificationTraceabilitySustainabilityAgricultural scienceRaw materialProduction (economics)AgricultureConsumption (sociology)Agricultural economicsNatural resource economicsEnvironmental scienceEngineeringEconomicsGeography

Abstract

fetched live from OpenAlex

In dit rapport wordt op de volgende onderdelen gekeken naar de verduurzaming van ketens voor droge kruidenierswaren: energieverbruik, gewasbeschermingsmiddelen, bemesting, waterverbruik, landtransformatie, gezondheid en veiligheid van werknemers, arbeidsrechten, traceerbaarheid, toegang tot inputs en markten voor kleinschalige boeren, en achteruitgang van bestuivers.Voor Nederlandse agrarische grondstoffen is de voortgang op het gebied van milieu de afgelopen jaren beperkt.De doelen voor gewasbeschermingsmiddelen en bemesting zijn niet gehaald, het waterverbruik is toegenomen en het energieverbruik in de teelt is niet gedaald.In de verwerking is het energieverbruik wel gedaald.Voor grondstoffen uit andere werelddelen is beperkt informatie beschikbaar.Wel neemt het aandeel van het verbruik dat duurzaam gecertificeerd is toe.This report assesses the sustainability of supply chains for dry goods based on the following factors: energy consumption, crop protection agents, fertiliser, water use, land transformation, employee health and safety, worker rights, traceability, access to inputs and markets for small-scale farmers, and the decline of pollinators.For agricultural raw materials in the Netherlands, environmental progress has been limited in recent years.Targets for crop protection agents and fertilisers have not been achieved, water use has increased and there's been no drop in energy consumption for crop production.There has, however, been a decrease in energy consumption by processors.Limited information is available on raw materials from other parts of the world, but the proportion of products certified as sustainable has increased.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0870.036

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 head0.037
GPT teacher head0.277
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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