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Record W4392192653 · doi:10.1080/19320248.2024.2321231

Nutrition and Dietetics Professionals Sustainable Food Systems Knowledge Seeking Behaviour

2024· article· en· W4392192653 on OpenAlex
Rachael Powell, Liesel Carlsson, Edith Callaghan

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Hunger & Environmental Nutrition · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsAcadia University
Fundersnot available
KeywordsFood systemsSustainable agricultureBusinessFood insecuritySustainabilityPsychologyPolitical scienceEnvironmental resource managementEnvironmental healthMarketingNatural resource economicsFood securityFood scienceMedicineEconomicsAgricultureBiologyEcology

Abstract

fetched live from OpenAlex

Sustainable food system (SFS) competence is a new and recognized knowledge area for nutrition and dietetics professionals (NDP). This research seeks to describe the SFS knowledge seeking behavior of NDP. Secondary data analysis of 231 anonymous self-assessments collected between September 2020 to December 2021 indicate a high proportion (41%) of self-assessed “beginners” in this topic at a mixture of career stages. There was a preference for learning about topics that already have significant public attention globally. More advanced practitioners sought more applied information. These results are informative for updating education and professional development tools for NDP.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.914

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 head0.007
GPT teacher head0.241
Teacher spread0.233 · 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