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Record W3097287545 · doi:10.5993/ajhb.44.5.10

Environmental Factors of Youth Milk and Milk Alternative Consumption

2020· article· en· W3097287545 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Journal of Health Behavior · 2020
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsConsumption (sociology)Environmental healthLogistic regressionFood guidePsychologyHealthy eatingMedicinePhysical activityPhysical therapy

Abstract

fetched live from OpenAlex

Objective: The objective of this research was to determine the school and community characteristics associated with milk and milk alternative (MMA) consumption by Canadian youth. Methods: We analyzed self-reported data from 50,058 Canadian students participating in the 2017-2018 wave of the COMPASS survey. We used logistic and linear regression analyses to identify school- and community-level factors associated with students meeting the MMA guidelines, and factors associated with daily number of MMA servings consumed, respectively. Results: Student-level factors were more strongly associated with MMA consumption than school- and community-level factors. Students who attended schools that provided staff with nutrition training consumed fewer daily servings of MMAs and were less likely to meet MMA guidelines. Students attending schools that received healthy eating grants were more likely to meet MMA guidelines, whereas students attending schools that sold flavored milk in their vending machines were less likely to meet MMA guidelines. Conclusion: Our findings suggest that student-level factors have a stronger association with MMA consumption than school or community factors. Additional research is needed to understand how factors associated with MMA consumption may influence behaviours over time, and how changes to Canada's food guide may impact youth eating habits.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.056
GPT teacher head0.324
Teacher spread0.268 · 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