AVANCES EN LA IMPLEMENTACIÓN DE LAS GUÍAS DE BUENAS PRÁCTICAS CLÍNICAS DE LA REGISTERED NURSES ASSOCIATION ONTARIO EN SEIS UNIVERSIDADES CHILENAS
Bibliographic record
Abstract
La Enfermería Basada en la Evidencia, permite a los profesionales de Enfermería trabajar con la mejor evidencia científica que nos brinda la investigación. La formación desde el pregrado, que ofrece un aprendizaje significativo y concreto al estudiante, puede asegurar que los futuros profesionales usen esta herramienta y apoyen su quehacer laboral con fuentes terciarias como las Guías de Buenas Prácticas Clínicas (GBPC) de la Registered Nurses Association Ontario (RNAO). Este artículo describe los avances que ha tenido la implementación de las guías en Chile: la actualización del programa de implementación en la Universidad de Chile, la expansión del programa a otras cinco universidades chilenas y la participación en la capacitación sobre las guías en diversas unidades académicas a nivel iberoamericano.
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 | 0.043 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".