Diseño de un curso de formación continuada en cuidados paliativos basado en competencias
Bibliographic record
Abstract
esta publicación es mostrar la estructura y contenidos de un curso de formación continuada en cuidados paliativos para enfermería.Se han empleado las últimas tendencias metodológicas en educación, y se ha tomado como referencia el modelo de competencias de la Facultad de Enfermería de la Universidad de Montreal.El resultado de la investigación ha conducido al diseño de un curso, del que los profesionales de la enfermería se pueden beneficiar para mejorar sus habilidades para el cuidado paliativo.Contemplar nuevos enfoques en la formación intermedia de cuidados paliativos en enfermería, frente a los viejos métodos de aprendizaje, proporciona una mayor integración de los modelos actuales, y promueve la calidad y la satisfacción asistencial en el contexto en el que se desarrollan.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".