Empathy, Alexithymia, And Psychological Mindedness: The Latent Profile Analysis
Bibliographic record
Abstract
The current study investigates the association between empathy, alexithymia, and psychological mindedness within the group of university students. The sample included 228 female Russian elementary education department students who completed a Russian-language adaptations of Interpersonal Reactivity Index (IRI) for empathy measure, Toronto Alexithymia Test (TAS-20) and Psychological Mindedness Scale. The Latent Profile Analysis method identified three kinds of profiles, i.e., latent groups of participants, that are similar to each other and differ from another groups in terms of assessed indicators of empathy, alexithymia and psychological mindedness. The obtained profiles can be characterized as demonstrating “successful” (one profile, 97 persons) and “problematic” development of empathy (two profiles, 56 and 75 persons). The profile of “successful” development is characterized by high empathy, high psychological mindedness and low alexithymia. “Problematic” profiles differ from “successful” profile in high alexithymia and moderate or low empathy. Alexithymic persons from two “problematic” profiles groups differ among themselves in the interest in the meaning and motivation (subscale of Psychological mindedness Scale). A profile with higher scores on this scale shows higher empathy despite the higher level of alexithymia. A profile with low score of Interest in Meaning and Motivation shows lower empathy, including personal distress. The problem of factors that can mediate the influence of alexithymia as an intrapersonal emotional competence deficit on the development of empathy is discussed. Also, the identified profiles are discussed in terms of the prospects for the prevention of professional burnout and professional selection.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".