La evaluación del interprofesionalismo en la educación basada en simulación
Bibliographic record
Abstract
The education based on simulation is an educationalstrategy where students learn from their errors, developing skills, knowledge, competences,etc. in a controlled environment. During the process of teaching by simulation, it is necessaryto execute various types of assessments (diagnostic, summative, formative) in order tomake adjustments or changes in the educational process of the students, therefore identifying areas of opportunity for improvement. With the simulation, different processes can be taught, like interprofessionalism and collaborative work. Nowadays, there is a major concern for added safety and the quality of care for the patients and their families. Therefore, a WHO study group determined the basic interprofessional competences, and has been given the task of disseminating and promoting interprofessional education. Some educational institutions in the US, Canada and Europe have integrated interprofessional and collaborative work in simulation practices. All the activity by simulation must be evaluated in order to provide feedback to the participants and establish improvement strategies. The assessment of the interprofessional work focuses on the evaluation of common skills and competencies among various health professionals.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".