Impacto del uso de psicoestimulantes (Modafinilo y Metilfenidato) en los estudiantes de medicina en relación con el síndrome de burnout
Bibliographic record
Abstract
Burnout syndrome refers to exhaustion, cynicism and inefficiency. It can occur at work or in an academic environment. The stressful lifestyle of students and the risk of anxiety, depression and sleep disorders due to the high academic demand are risk factors for burnout syndrome. As a result of the high prevalence of burnout syndrome, there is a high risk of the use of psicoestimulantes or known as smart drugs in 13.1%. Among the most consumed psychostimulants without a medical prescription, modafinil and with a medical prescription, methylphenidate. Within the studied sample, 84.5% presented high or very high levels of exhaustion. 80% of the subjects who consume modafinil use it with the purpose to improve their academic performance and increase their concentration, however the drug is indicated in drowsiness, sleep disorders. About 100% of those who consume methylphenidate do so by medical prescription.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".