Results From the Mozambique 2016 Report Card on Physical Activity for Children and Adolescents
Bibliographic record
Abstract
BACKGROUND: This article describes the procedures and development of the 2016 Mozambican Report Card on Physical Activity for Children and Adolescents. METHODS: Following the procedures adopted in 2014 for that year's report card, comprehensive searches on new data related to indicators of physical activity (PA) were done. A committee composed of physical activity and sports specialists graded each indicator consistent with the process and methodology outlined by the Active Healthy Kids Canada Report Card model. RESULTS: Nine indicators of PA were graded. Compared with 2014 there were several differences which were caused by changes in the country as well as a more effective evaluation from the committee. The following grades were assigned: Overall Physical Activity Levels, C; Organized Sport Participation, F; Active Play, D; Active Transportation, C; Schools, D; Community and the Built Environment, F; and Government, F. Sedentary Behaviors and Family and Peers were graded Incomplete due to the lack of available information. CONCLUSIONS: The decline of the PA habits in urban centers reported in 2014 are accentuated and is influencing the rural areas in several ways. At present, there is no strategy or effective action from authorities to reverse this negative trend.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".