Prevalencia de sindrome de burnout en estudiantes de la carrera profesional de estomatología de las universidades de la libertad, 2018
Bibliographic record
Abstract
Objective: To determine the prevalence of burnout syndrome, in students who \nattend Stomatological Integral Clinic or its equivalent in the Dental Program of the \nLa Libertad Region universities, 2018. \nMaterial and method: The study was of a prospective, transversal, descriptive \nand observational type, it included a total of 152 students that attend the course of \nStomatological Integral Clinic or its equivalent in the Dental Program of the La \nLibertad Region universities, using a non-probabilistic by convenience method for \nsampling. Burnout was evaluated through the Maslach burnout Student Survey \nQuestionnaire (MBI-SS) which has 15 items. The results were processed in the \nstatistical program SPSS Statistics 22.0 (IMB. Armonk, NY, USA). \nResults: The prevalence of burnout syndrome in students attending the \nStomatological Integral Clinic course or its equivalent in the Dental Program was \n24.68%. \nConclusion: A quarter of the students surveyed presented burnout. It was also \nobserved that the State University of Trujillo has a higher percentage of burnout \nthan private universities. The percentage according to sex was similar, and \naccording to dimensions, emotional exhaustion presented the highest percentage.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".