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Food and eating as social practice – understanding eating patterns as social phenomena and implications for public health

2009· review· en· W2070041838 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.

Bibliographic record

VenueSociology of Health & Illness · 2009
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsSociocultural evolutionFood choicePopulationAgency (philosophy)PsychologyPsychological interventionPublic healthContext (archaeology)Social psychologySociologyMedicineSocial scienceGeography

Abstract

fetched live from OpenAlex

Globally, public health agencies recognise obesity trends among populations as a priority. Explanations for population obesity patterns are linked to obesogenic environments and societal trends which encourage patterns of overeating and little physical activity. However, obesity prevention and nutrition intervention focus predominantly on changing individual level eating behaviours. Disappointingly, behaviour-based nutrition education approaches to changing population eating patterns have met with limited success. Sociological perspectives propose that underlying social relations can help explain collective food and eating patterns, and suggest an analysis of the sociocultural context for understanding population eating patterns. We propose a theoretical framework for the examination of eating patterns as social phenomena. Giddens' structuration theory, in particular his concept of social practices understood as an interplay of 'agency' and 'social structure' (rules and resources), is used to study food choice patterns. We discuss the application of these concepts for understanding routine food choice practices of families, elaborating how rules and resources configure the enabling or constraining conditions under which actors make food choices. The framework assists in characterising how social structural properties are integral to food choice practices, and could direct attention to these when considering nutrition interventions aimed at changing population eating patterns.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.196
GPT teacher head0.450
Teacher spread0.254 · 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