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Record W4234338299 · doi:10.29173/hsi95

Fighting fat in families: The new “F word”

2012· article· en· W4234338299 on OpenAlexaffvenueabout
Carol A. Dennison

Bibliographic record

VenueHealth Science Inquiry · 2012
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWord (group theory)LinguisticsPsychologyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Childhood obesity is increasing at an alarming rate worldwide, especially in developed countries.Between 1979 and 2004, the percentage of overweight and obese children in Canada rose from 15% to 26%. 1 Obesity in children is associated with increased risk of adulthood obesity and multiple health problems including cancer, type 2 diabetes and atherosclerosis. 2 All of these diseases create additional costs for an already overburdened health care system.Multiple explanations for childhood obesity have been proposed, including decreased physical activity, energy-rich diets, socio-economic status, education, genetics, and poor community design.1,2 Many interventions targeting diet, physical activity and environment have been proposed, implemented, and proven mildly successful.3 However, the family and the home are integral factors in childhood obesity that are still being largely overlooked.

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)0.004
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.014
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.238
GPT teacher head0.530
Teacher spread0.292 · 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

Citations0
Published2012
Admission routes3
Has abstractyes

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