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.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".