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Record W1995141050 · doi:10.1089/g4h.2013.0034

Gaming, Adiposity, and Obesogenic Behaviors Among Children

2013· article· en· W1995141050 on OpenAlexaff
Melanie Hingle, Ralph Maddison, Ann E. Maloney, Monique Simons, Amanda E. Staiano

Bibliographic record

VenueGames for Health Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPhysical activityObesityPsychologyDevelopmental psychologyGerontologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

Videogames in general have been maligned for causing obesity because of their inherent sedentariness, whereas exergames have been both maligned for requiring low levels of activity and extolled for requiring physical activity to move game play along. The intensity and duration of physical activity resulting from exergame play have shown varying results, and they have been explored for use in obesity treatment and prevention, primarily among children. Other videogames have been developed and tested to help children change their diet and physical activity practices with various outcomes. As a field of inquiry, we are in the earliest stages of understanding how, or under what circumstances, videogames can influence all these behavioral and health outcomes. To deal with these complexities, we have assembled a group of investigators who have made important, but diverse, contributions to this research agenda and asked them to address five key child obesity-related issues in a Roundtable format. Brief biosketches are presented at the end of this article.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.312
Teacher spread0.298 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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