Modificaciones de la obesidad a través de la implementación de herramientas físico- posturales en escolares
Bibliographic record
Abstract
Today, physical inactivity and the development of unhealthy habits lead to higher incidences of obesity and other related diseases with a big\nimpact on our society. For this reason, intervention in elementary school is considered essential to better facilitate the development of healthier habits\nin the adult stage. This study has three main objectives: to determine the obesity levels among schoolchildren in «La Malahá (Granada)»; to establish\npossible relationships between variables and to intervene with a program (physical, nutritional and postural dimension) in school. This study was\nperformed in «CEIP San Isidro Labrador of La Malahá (Granada)» in 95 schoolchildren between 7 and 12 years of age. Dependent variables were\nobesity, physical activity; family influence for doing sport, time spent on sedentary leisure time and eating habits. We found that 21.1% children were\nobese (overweight and obesity) in the pre-phase, and after the implementation program, only 15.8% of obesity was observed. Therefore, as main\nconclusions, this research indicates that an intervention program with physical, nutritional and postural dimensions reduces obesity rates, so that we\ncan consider as being important its development in the school stage in order to promote healthy habits
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".