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Record W4383186896 · doi:10.3148/cjdpr-2023-012

Parental Cooking Confidence is Associated with Children’s Intake of Fish and Seafood

2023· article· en· W4383186896 on OpenAlexaffvenueabout
Jessie L. Burns, Aritra Bhattacharjee, Gerarda Darlington, Jess Haines, David W.L., The Guelph Family Health Study

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2023
Typearticle
Languageen
FieldMedicine
TopicNutritional Studies and Diet
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDocosahexaenoic acidFish consumptionFish <Actinopterygii>Fish productsEicosapentaenoic acidFood scienceCooking methodsEnvironmental healthFisheryPolyunsaturated fatty acidMedicineBiologyFatty acid

Abstract

fetched live from OpenAlex

Purpose: Fish and seafood consumption by North American children is low. This is concerning, given the critical role of n-3 polyunsaturated fatty acids (eicosapentaenoic acid and docosahexaenoic acid), found in fish and seafood, in early development. This study aimed to determine whether parental factors related to fish and seafood consumption are associated with frequency of fish and seafood consumption in Canadian children. Methods: A subgroup of parents (n = 28) participating in the Guelph Family Health Study Pilot reported their perceptions and history of fish and seafood consumption, confidence in preparing fish and seafood dishes, and the frequency of intake for their children (n = 40). Results: This study found that 20% of children consumed one serving of saltwater fish, freshwater fish, or shellfish weekly and 63% consumed at least one type of fish or seafood monthly. Parental cooking confidence preparing fish and seafood was positively associated with at least monthly fish and seafood intake in children. Conclusions: These findings suggest that some children may have low intakes of fish and seafood due to a lack of parental cooking confidence when preparing fish and seafood dishes. Therefore, future research and interventions focused on addressing this barrier may aid in improving fish and seafood intake.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.306
Threshold uncertainty score0.608

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.071
GPT teacher head0.367
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2023
Admission routes3
Has abstractyes

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