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Record W2971568178 · doi:10.3389/fsufs.2019.00076

Advancing an Integrative Framework to Evaluate Sustainability in National Dietary Guidelines

2019· article· en· W2971568178 on OpenAlexfundno aff
Selena Ahmed, Shauna Downs, Jessica Fanzo

Bibliographic record

VenueFrontiers in Sustainable Food Systems · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesCanadian Institutes of Health ResearchMontana State UniversityOffice of Experimental Program to Stimulate Competitive ResearchNational Institutes of HealthNational Science Foundation
KeywordsSustainabilityEnvironmental resource managementEnvironmental planningProcess managementGeographyBusinessEnvironmental scienceEcologyBiology

Abstract

fetched live from OpenAlex

The food system is responsible for some of society’s most pressing sustainability challenges. Dietary guidelines are one policy tool to help address the multiple sustainability challenges associated with food systems through dietary recommendations that better support environmental and human wellbeing. This article develops and applies a sustainability framework scoring tool comprised of four key dimensions (environmental, economic, human health, and sociocultural and political) and 32 sub-dimensions of sustainable food systems for the analysis and modification of national dietary guidelines. Two coders pilot tested the framework to quantify the occurrence of sustainability dimensions and sub-dimensions in national/regional dietary guidelines of 12 randomly selected high-income and upper-middle income countries including Albania, Australia, Brazil, the Grenadines, Grenada, Qatar, Netherlands, Nordic Countries, St. Vincent, Sweden, Thailand, the United Kingdom, and the United States. Sustainability Dimension Scores (SDS) were calculated as a percentage of the occurrence of the 8 sub-dimensions comprising each sustainability dimension and Total Sustainability Scores (TSS) were calculated as a percentage of the occurrence of the 32 sub-dimensions in each guideline. Inter-rater reliability of TSS and SDS indicated high validity of applying the sustainability framework for dietary guidelines. SDS varied between the four sustainability dimensions with human health being the most represented in the dietary guidelines examined, as hypothesized (average SDS score of 83%; range from 50-100%). Significant differences (p < 0.0001) were found in mean SDS between the four sustainability dimensions. Overall, results indicate that the ecological (average SDS score of 31%; range from 0-100%) economic (average SDS score of 29%; range from 0-100%), and socio-cultural and political (average SDS score of 44%; range of 0-100%) dimensions of sustainability are underrepresented in the examined national dietary guidelines with significant differences in SDS between guidelines (p < 0.0001). TSS varied by country between 12% to 74% with a mean score of 36% ( 20%). Brazil had the highest TSS (74%) followed by Australia (69%). The sustainability framework presented here can be applied by policy makers, researchers, and practitioners to identify gaps and opportunities to modify national dietary guidelines and associated programs for transforming food systems through diets that support planetary health.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.288
Teacher spread0.277 · 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.

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".

Quick stats

Citations81
Published2019
Admission routes1
Has abstractyes

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