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Record W1979270053 · doi:10.2495/dne-v4-n2-143-153

Honey and sugar as surrogate products: an emergy evaluation

2009· article· en· W1979270053 on OpenAlex
E. Simoncini, Federica Coppola, S. Borsa, Federico Maria Pulselli

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Design & Nature and Ecodynamics · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Ecological Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureEnvironmental scienceSustainabilitySugar beetProduction (economics)Natural resource economicsEnvironmental pollutionSugarNatural resourceEnvironmental protectionBusinessAgricultural engineeringEngineeringAgronomyEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Exploitation of natural resources has reached an unsustainable level, due to the enormous growth of world population. Industrialized intensive agriculture, in particular, demands a great quantity of natural resources. White sugar is a widespread agricultural product. Its production from sugar beet or sugarcane is very expensive from the point of view of resource exploitation and sustainability. The aim of this paper is to compare white sugar and honey as sweeteners. We compared both processes of production in terms of emergy in order to establish the environmental costs and benefits of both. Transformities of honey and sugar were calculated per unit product and per unit area of land. Honey was found to have a better environmental performance than sugar production, due to the low quantity of non-renewable resources required. The environmental loading ratio indicated that honey production is more environmentally friendly than sugar production.

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)0.001
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 score0.634
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.272
Teacher spread0.261 · 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