IMPLEMENTACIÓN DE CUATRO GUÍAS DE BUENAS PRÁCTICAS CLÍNICAS DE LA REGISTERED NURSES’ ASSOCIATION OF ONTARIO (RNAO) EN LA CARRERA DE ENFERMERÍA DE LA UNIVERSIDAD DE TALCA, CHILE
Bibliographic record
Abstract
El presente artículo expone la implementación de cuatro Guías de Buenas Prácticas Clínicas (GBPC) de la Registered Nurses’ Association of Ontario (RNAO) en un módulo disciplinar de segundo año de la Escuela de Enfermería de la Universidad de Talca, Chile, durante el año 2023, siguiendo el modelo educativo basado en competencias. Las GBPC fueron: 1) Valoración y manejo del dolor, 2) Prevención de caídas y disminución de lesiones derivadas de las caídas, 3) Valoración del riesgo y prevención de lesiones por presión para equipos interprofesionales y 4) Acceso vascular. Estas guías fueron un insumo valioso para las/os estudiantes al momento de sustentar sus cuidados en las experiencias clínicas, obteniéndose, en promedio, un indicador de logró sobre el 90% de uso de las recomendaciones de las GBPC seleccionadas.
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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 | 0.017 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".