Algunas reflexiones entorno a la formación de valores en los estudiantes de Ciencias Médicas Some reflections upon the formation of values in medical students
Bibliographic record
Abstract
En este trabajo se pretende demostrar empíricamente en qué niveles se encuentra la formación de valores de los estudiantes de la Carrera de Medicina de nuestra filial del Municipio de Sandino, a partir de la responsabilidad fundamental que tiene el profesor en la dirección y consolidación de este proceso dentro del currículo. Para el desarrollo de la investigación se aplicaron observaciones a clases, seminarios y clases teórico-prácticas. Se realizaron encuestas a estudiantes de 3ero y 4to año, Se encontró que es insuficiente la preparación de los profesores para la formación de los valores que se necesita en nuestros estudiantes. In this paper we aim at empirically demonstrating in which levels the formation of values in medical students of our branch in Sandino municipality is, from the chief responsibility professors have in the direction and consolidation of this process in their curriculum. For carrying out this research, visits to classes were made, seminars, theoretical-practical classes were done; surveys were made with 3rd- and 4th-year students, having as results that professors' training for the formation of values required in our students is impaired.
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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 | 0.019 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".