PAUSE-2-PLAY: A PILOT SCH∞L-BASED HEALTH ENHANCEMENT PROGRAM
Bibliographic record
Abstract
The Pause-2-Play primary obesity prevention program was pilot tested in London, Ontario to determine the feasibility and effectiveness of providing the program to a sample of elementary school students in grades five and six. Pause-2-Play was a 12-week intervention program consisting of an in-class curriculum, and an after-school program aimed at increasing physical activity and reducing screen time. The implementation process and outcomes were evaluated using a pre- and post- design. School staff, participants, and parents of participants reported enjoying the program, and that children benefited from participation. Participation in Pause-2-Play resulted in significant improvements in percent body fat (p<0.05), fat-free mass index (p<0.05) and fitness (p<0.05). This program can be feasibly provided to school-aged children, resulting in improved health outcomes. Pause-2-Play could be used as a primary prevention tool against childhood obesity. Successful implementation holds the potential to help alleviate the burdens of childhood and adulthood obesity.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".