MétaCan
Menu
Back to cohort
Record W4407394013 · doi:10.1093/heapro/daaf004

Unpacking family meals: state-of-the-art review critiquing the Western ideals, positioning and promotion of family meals

2025· review· en· W4407394013 on OpenAlexaff
Fairley Le Moal, Eloise Litterbach, Katherine Dunn, Kylie Fraser, Celeste C. Bouchaud, Georgia Middleton

Bibliographic record

VenueHealth Promotion International · 2025
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of British Columbia
FundersQueensland University of TechnologyFlinders UniversityDeakin University
KeywordsPromotion (chess)Ideal (ethics)SociologyPerceptionHealth promotionDiversity (politics)Social psychologyPsychologyPublic relationsMedicinePublic healthPolitical scienceNursing

Abstract

fetched live from OpenAlex

Family meals are a familiar concept and are practised in many Western households. While academics have been researching family meals for decades, there is much about the family meal we still do not understand. Meanwhile, the promotion of an 'ideal' of family meals across media, health and social discourse ensues. An extensive pool of research has indicated cross-sectional associations between the frequency of family meals and optimal health outcomes. However, evidence surrounding what specifically it is about the family meal that could offer health benefits is limited. Furthermore, family meals carry a level of moral value, evoking pressure for parents to 'achieve' a family meal ideal, unattainable for many. Family meals research has traditionally focussed on mothers' perceptions and roles in family mealtimes. While literature is starting to emerge on the often-overlooked cognitive contribution required to plan and execute family meals, little structural supports exist to streamline these efforts or make them more achievable for contemporary families. The published literature is only starting to include cultural and demographic diversity, making it difficult to understand and promote realistic and feasible family meals across populations. The popular depiction of family meals needs to evolve alongside changes in social norms. Our call to action to address these issues is to draw on existing family meal practices, continue to diversify our investigations, and broaden our definitions and understandings of what a family meal is or could be, and how it should be measured.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.105
GPT teacher head0.386
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHealth Promotion InternationalSame topicCulinary Culture and TourismFrench-language works237,207