Programa psicoeducativo con enfoque humanista y bienestar psicológico en un grupo de personas adultas mayores institucionalizadas
Bibliographic record
Abstract
espanolResumen: El objetivo de este programa psicoeducativo con enfoque humanista es fortalecer el bienestar psicologico en un grupo de personas adultas mayores institucionalizadas. Durante la etapa adulta ocurren transformaciones biologicas, sociales y economicas que tienen un efecto en el bienestar psicologico. El contar con recursos que brinden la posibilidad de satisfacer las propias necesidades es un aspecto clave para lograr la salud mental. El programa consiste en 11 sesiones con duracion de 50 minutos, con frecuencia de dos reuniones por semana. Dirigido a hombres y mujeres entre los 65 anos y mas, que se encuentren en una institucion. Metodologia: Participantes voluntarios/as. El diseno propuesto es de corte cuasiexperimental con mediciones pre y pos evaluacion. Ademas, se propone una entrevista en profundidad con uso de grabaciones y bitacora. Los instrumentos propuestos: Escala de Bienestar Psicologico de Riff; Mini Mental Examination Test, y Montreal Cognitive Assessment (MOCA). Se toman en cuenta las consideraciones eticas y el consentimiento informado. Palabras claves: Envejecimiento, adulto mayor institucionalizado, bienestar psicologico. EnglishAbstract: The objective of this psychoeducational program with a humanistic approach is to strengthen psychological well-being in a group of institutionalized older adults. During the adult stage, biological, social and economic transformations occur that have an effect on psychological well-being. Having resources that provide the ability to meet your own needs is a key aspect of achieving mental health. The program consists of 11 sessions lasting 50 minutes, with a frequency of two meetings per week. Aimed at men and women between the ages of 65 and over, who are in an institution. Methodology: Volunteer participants. The proposed design is quasi-experimental with pre and post evaluation measurements. In addition, an in-depth interview is proposed with the use of recordings and a log. The proposed instruments: Riff's scale of psychological well-being, Mini Mental Examination Test and Montreal Cognitive Assessment (MOCA). Ethical considerations and informed consent are taken into account. Keywords: Aging, institutionalized older adult, psychological well-being.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".