IMPLEMENTACIÓN DE TRES GUÍAS DE BUENAS PRÁCTICAS CLÍNICAS EN LA ESCUELA DE ENFERMERÍA DE LA UNIVERSIDAD DE TALCA, CHILE
Bibliographic record
Abstract
El presente artículo describe el proceso de implementación de tres guías elaboradas por la Registered Nurses’ Association of Ontario (RNAO) de Canadá, en el módulo enfermería en el adulto en la Escuela de Enfermería de la Universidad de Talca, proceso que se enmarca en el convenio establecido entre la Universidad de Talca y esta asociación, a través del Departamento de Enfermería de la Universidad de Chile, host leader del ProgramaBasada en Evidencia en la práctica clínica y también, establecer una alianza entre la institución académica y los centros de asistencia sanitaria de Guías de Buenas Prácticas Clínicas de la RNAO. Esta implementación se llevó a cabo a través de diversas metodologías de enseñanza-aprendizaje que han permitido a los estudiantes integrar y aplicar la Enfermería
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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 | 0.028 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".