Test de educación física en alumnos/as de 4º de educación primaria a 4º de la Eso: Un estudio científico.
Bibliographic record
Abstract
espanolSe seleccionaron 76 ninos y ninas al ~50%, del CEIP ``Vicente Aleixandre´´ (de 4o, 5o y 6o de E. Primaria) y del IES ``Jacaranda´´ (de 1o, 2o, 3o y 4o de la ESO), de Brenes (Sevilla). Se formaron seis grupos, segun la edad, donde se midieron la talla, el peso corporal (PC), el indice de masa corporal (IMC), el sprint en 0-20m., el salto vertical (CMJ) y un test de resistencia [Test de la Universidad de Montreal (TUM)]. El objetivo fue comprobar la relacion y los cambios en la evolucion de variables antropometricas basicas y el rendimiento en pruebas fisicas en personas de 10-15 anos de edad, junto con la evolucion natural del nino/a, con su dotacion genetica y con la influencia del ambiente. English76 boys and girls were selected approximately ~50% of each, of the CEIP Vicente Aleixandre (of 4th, 5th and 6th Primary education) and of the IES Jacaranda (of 1st, 2nd, 3rd and 4th of ESO), of Brenes (Seville). Six groups were formed according to age, where height, body weight (BW), body mass index (BMI), 0-20m. sprint, the vertical jump (CMJ), and an endurance test [Test of the University of Montreal (TUM)] were measured. The objective was to determine the relationship and changes in the evolution of basic anthropometric variables and physical performance tests in persons 10-15 years of age, together with the natural evolution of the boy and girl with his genetic endowment and with the influence of the environment
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".