Alexithymia and Empathy in a Non-Clinical Population: How do they Correlate?
Bibliographic record
Abstract
Alexithymia and empathy are functional concepts surrounding human emotions.This study aimed to estimate the association between alexithymia and empathy within a neurotypical population. The study was a cross sectional survey conducted within a non-clinical population of medical students at a University in England using voluntary sampling to complete the Toronto Alexithymia Scale (TAS), Basic Empathy Scale (BES), General Health Questionnaire- 12. Alexithymia and empathy scores did not show a statistically significant correlation. There was a statistically significant negative correlation between total alexithymia and cognitive empathy scores (correlation co-efficient was -0.184, p value was 0.013). Men and women differed significantly on empathy scores with women showing significantly higher empathy. The relationship between the understanding of one’s own emotions and the interpretation of others’ emotions are different functions with a more complex interaction than a simple linear correlation. Future research should focus on further exploring the differences between cognitive and affective empathy.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".