Factores asociados a la alexitimia en estudiantes de medicina: un estudio de corte transversal
Bibliographic record
Abstract
Objetivo: Determinar si la edad, el sexo, el grado de instrucción materna y paterna, la procedencia, el año de estudios, el IMC, el consumo de alcohol, el tabaquismo, el antecedente de trauma infantil y/o la actividad física son factores asociados de alexitimia en estudiantes de medicina de la Universidad Privada Antenor Orrego durante el semestre 2019 - 2. Material y métodos: Este estudio tipo corte transversal fue aplicado a los estudiantes de medicina de cada año de estudio de la Escuela de Medicina Humana de la Universidad Privada Antenor Orrego del semestre 2019-2. Los datos se obtuvieron gracias a una encuesta virtual elaborada para el estudio, donde se incluyeron la Escala de Alexitimia de Toronto (TAS-20) y el Test de identificación de desórdenes relacionados con el consumo de alcohol acortado (AUDIT-C) para la determinación de alexitimia y consumo de alcohol respectivamente. El resto de variables se abordaron, de forma directa e indirecta, mediante las preguntas de nuestra encuesta.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".