IMPLEMENTACIÓN DE LAS GUÍAS DE LA RNAO EN LA CARRERA DE ENFERMERÍA DE LA UNIVERSIDAD AUTÓNOMA DE CHILE
Bibliographic record
Abstract
La enfermería basada en evidencia se posiciona como una alternativa fiable ante las necesidades actuales de la enfermería, a partir de eso las guías de buenas prácticas de la RNAO (Asociación Profesional de Enfermeras de Ontario) son una herramienta optimizadora del sistema de salud, abarcando las áreas clínicas y académicas de la enfermería. El objetivo del presente estudio es describir la experiencia de la implementación de las guías de buenas prácticas de la RNAO en el pregrado de la carrera de Enfermería de la Universidad Autónoma de Chile, sede Talca. Este artículo reflexiona sobre el fortalecimiento del modelo curricular de la carrera de enfermería a partir de la implementación de un marco para la acción que se encuentra respaldado por la evidencia científica del programa de Best Practice Spot-light Organizations (BPSO®).
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".