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Record W4417522482 · doi:10.1080/19320248.2025.2606125

“I like going into town and eating food”: analyzing the discursive construction of rural youth food environments in Canada

2025· article· en· W4417522482 on OpenAlex
Alexa R. Ferdinands, Danielle Klassen, Matthew Ormandy, Natalya Lynch

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Hunger & Environmental Nutrition · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFood securityFood insecurityFood systemsRural areaHealthy eatingQualitative research

Abstract

fetched live from OpenAlex

Rurality is an under-researched dimension of youths’ food environments. This qualitative study engaged youth (aged 13–18) in two rural settings in western Canada to examine the discourses shaping their experiences of their food environments. Data were generated through individual and group interviews during cooking sessions. Using discourse analysis, we identified three discourses: moralizing eating practices; moving beyond food and nutrition binaries; and valuing food and nutrition knowledge and skills. These discourses reflect both hegemonic and counter-hegemonic discourses of food and nutrition. Study findings have implications for developing and implementing health-promoting nutrition interventions for youth in rural communities.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.979

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 head0.004
GPT teacher head0.155
Teacher spread0.151 · 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