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Record W2018494930 · doi:10.1057/jphp.2013.9

Restricting marketing to children: Consensus on policy interventions to address obesity

2013· article· en· W2018494930 on OpenAlex
Kim D. Raine, Tim Lobstein, Jane Landon, Monique Potvin Kent, Suzie Pellerin, Timothy Caulfield, Diane T. Finegood, Lyne Mongeau, Neil Neary, John C. Spence

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

VenueJournal of Public Health Policy · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsInstitute of Population and Public HealthUniversity of OttawaUniversité de MontréalSimon Fraser UniversityUniversity of Alberta
FundersUniversity of AlbertaHeart and Stroke Foundation of Canada
KeywordsPublic health lawPublic healthFood marketingHealth policyEnvironmental healthPsychological interventionBusinessObesitySocial marketingMarketingPublic health policyCompliance (psychology)Public policyPolitical sciencePublic relationsMedicinePsychologyNursing

Abstract

fetched live from OpenAlex

Obesity presents major challenges for public health and the evidence is strong. Lessons from tobacco control indicate a need for changing the policy and environments to make healthy choices easier and to create more opportunities for children to achieve healthy weights. In April 2011, the Alberta Policy Coalition for Chronic Disease Prevention convened a consensus conference on environmental determinants of obesity such as marketing of unhealthy foods and beverages to children. We examine the political environment, evidence, issues, and challenges of placing restrictions on marketing of unhealthy foods and beverages within Canada. We recommend a national regulatory system prohibiting commercial marketing of foods and beverages to children and suggest that effective regulations must set minimum standards, monitor compliance, and enact penalties for non-compliance.

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)0.010
metaresearch head score (Gemma)0.037
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.404
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.094
GPT teacher head0.397
Teacher spread0.304 · 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