”Abre tu mente”. Una estrategia lúdico - pedagógica enfocada en la memoria instrumental en el adulto mayor de la Universidad del Valle seccional Palmira. : ”Abre tu mente”. Una estrategia lúdico - pedagógica enfocada en la memoria instrumental en el adulto mayor de la Universidad del Valle seccional Palmira.
Bibliographic record
Abstract
Este estudio se centró en fomentar la memoria instrumental en adultos mayores mediante una estrategia lúdicopedagógica en la Universidad del Valle, seccional Palmira. La investigación abordó la importancia de mantener y mejorar las funciones cognitivas en la vejez, destacando el impacto positivo de actividades lúdicas en la retención de habilidades motoras. Se aplicaron el Cuestionario Internacional de Actividad Física (IPAQ) y la prueba de evaluación cognitiva Montreal (MoCA) para medir la condición física y cognitiva de los participantes antes y después de la intervención. Los resultados demostraron que el grupo experimental, que participó en la estrategia lúdico-pedagógica, logró una mejora significativa en la memoria instrumental en comparación con el grupo control. Estos hallazgos subrayan la efectividad de las intervenciones lúdicas en la promoción de la salud cognitiva en adultos mayores y la importancia de su implementación en programas educativos y de salud.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".