Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
THEORY: Burnout is prevalent among medical students and is correlated with negative feelings, behaviors, and outcomes. Empathy is a desired trait for medical students that has been correlated with reduced burnout. The concept of guilt is closely related to concern about the well-being of others; therefore, feelings of guilt may be associated with empathy. Excessive guilt poses an increased risk for internalized distress, symptoms such as anhedonia, and may be related to burnout. The relationship between pathogenic guilt and burnout in medical students is unknown. HYPOTHESIS: We hypothesize that pathogenic guilt is present and related to both burnout and empathy in medical students. METHODS: We conducted a cross-sectional survey study of all students in one medical school. Data were collected in February 2020. The Oldenburg Burnout Inventory (OBLI), Toronto Empathy Questionnaire (TEQ), and Interpersonal Guilt Questionaire-67 (IGQ-67) were used. A modified version of IGQ-67 was used to measure four subscales of pathogenic guilt: survival guilt, separation guilt, omnipotence guilt, and self-hate guilt. Data analyses for this study including screening, evaluation of assumptions, descriptive statistics, reliabilities, one-way ANOVA, and correlation coefficients, were conducted using SPSS version 26. RESULTS: Of 300, 168 (56.0%) students participated in the study. Survival, omnipotence, and self-hate classes of pathogenic guilt were positively correlated with burnout. Empathy was correlated with two classes of pathogenic guilt: survival and omnipotence. Empathy was inversely related to burnout (disengagement). CONCLUSIONS: Pathogenic guilt may be a contributor to burnout in medical students. Guilt should be a target of prevention and treatment in burnout in medical students. Supplemental data for this article is available online at https://doi.org/10.1080/10401334.2021.1891544.
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.
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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.006 |
| 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 it