EMPATHY IN CARIBBEAN MEDICAL STUDENTS ASSESSED USING THE TORONTO EMPATHY QUESTIONNAIRE
Bibliographic record
Abstract
Introduction: Empathy is the emotional process to understand a patient's state of being and current emotion.Empathy, through humanization of medical students, plays an important role while learning and practicing the art of medicine.Our study aims to quantify empathy as an indicator of humanization, in medical students throughout their education.Subjects and Methods: A cross-sectional questionnaire survey was performed on basic medical and clinical science students at Avalon University School of Medicine, Curacao.Standard Toronto Empathy Questionnaire [TEQ] was utilized to quantify the empathy.Results: Average TEQ scores of the basic students in MD1 -MD4 were 51.55 ± 4.16, 49.42±3.58,46.72±4.60,48.86±6.17respectively.Overall TEQ scores were slightly higher in basic science students in comparison to the clinical students (48.82 ± 5.12 vs 48.74 ± 4.01, P=0.46).Conclusions: Empathy scores were higher in basic science medical students in comparison to the clinical students.Lack of progression of empathy amongst medical students needs to be addressed.We recommend medical schools to adapt and instill the virtue of empathy in the course curriculum.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".