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Record W2070051657 · doi:10.1377/hlthaff.2009.0742

A Statewide Strategy To Battle Child Obesity In Delaware

2010· article· en· W2070051657 on OpenAlexaff
Debbie I. Chang, Allison Gertel-Rosenberg, Vonna Lou Caleb Drayton, Shana K. Schmidt, Gwendoline B. Angalet

Bibliographic record

VenueHealth Affairs · 2010
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsOverweightChildhood obesityObesityBattleMedicineEnvironmental healthGerontologyHealthy eatingHealth careFamily medicinePhysical activityPolitical sciencePhysical therapyGeography

Abstract

fetched live from OpenAlex

In 2006, approximately 37 percent of Delaware's children were overweight or obese. To combat Delaware's childhood obesity epidemic, Nemours, a leading child health care provider, launched a statewide program to improve child health. The "social-ecological" strategy reaches beyond clinical encounters to promote better health and behavior at multiple levels. Early results show that the initiative halted the increase in the prevalence of overweight and obese children, since no statistically significant change occurred during the two-year span between administrations of the Delaware Survey on Children's Health. The initiative also spurred increased knowledge of healthy eating and awareness of the need for increased physical activity in school, child care, and primary care settings.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.308
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 teacher head, 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

Citations32
Published2010
Admission routes1
Has abstractyes

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