ESTIMACIÓN INDIRECTA DEL GASTO ENERGÉTICO, COMPOSICIÓN CORPORAL Y CAPACIDAD AERÓBICA EN ESTUDIANTES UNIVERSITARIOS DE ENTRENAMIENTO
Bibliographic record
Abstract
El presente estudio analizó el perfil fisiológico de 364 estudiantes del programa de Tecnología en Entrenamiento Deportivo de una institución universitaria, mediante la estimación indirecta de variables de composición corporal, metabolismo basal y capacidad cardiorrespiratoria. Los datos fueron obtenidos durante actividades académicas prácticas correspondientes a cinco grupos de la asignatura Fisiología del Ejercicio. Se emplearon ecuaciones predictivas validadas para estimar indicadores como el porcentaje de grasa corporal, la tasa metabólica basal (BMR), el gasto energético total (TDEE) y el consumo máximo de oxígeno (VO₂máx). Los resultados mostraron diferencias significativas entre hombres y mujeres en variables como masa magra, BMR y TDEE, evidenciando patrones fisiológicos diferenciados por sexo. Asimismo, se identificaron relaciones significativas entre la edad, el porcentaje de grasa corporal y la capacidad aeróbica. Los hallazgos proporcionan bases relevantes para fortalecer estrategias pedagógicas y de seguimiento físico en el contexto académico deportivo.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".