Active Healthy Kids Canada's Position on Active Video Games for Children and Youth
Bibliographic record
Abstract
The effect of active video games (AVGs) on acute energy expenditure has previously been reported; however, the influence of AVGs on other health-related lifestyle indicators remains unclear. To address this knowledge gap, Active Healthy Kids Canada (AHKC) convened an international group of researchers to conduct a systematic review to understand whether AVGs should be promoted to increase physical activity and improve health indicators in children and youth (zero to 17 years of age). The present article outlines the process and outcomes of the development of the AHKC's position on active video games for children and youth. In light of the available evidence, AHKC does not recommend AVGs as a strategy to help children be more physically active. However, AVGs may exchange some sedentary time for light- to moderate-intensity physical activity, and there may be specific situations in which AVGs provide benefit (eg, motor skill development in special populations and rehabilitation).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".