Exploring the links between alexithymia, empathy and schizotypy in college students using network analysis
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
Introduction: Impaired empathy is one of the major dysfunctions commonly found in patients with schizophrenia, with alexithymia being one possible underlying factor. Schizotypy represents a set of psychotic-like manifestations, investigation of which may contribute to our understanding of psychosis while minimising the confounding effects of illness chronicity and medication exposure. Few studies have specifically examined the associations among alexithymia, empathy and schizotypy.Methods: We investigated the relationships among alexithymia, empathy and schizotypy in college students using network analysis. The Interpersonal Reactivity Index (IRI), Toronto Alexithymia Scale (TAS), and Chapman Psychosis-Proneness scales were captured, and network based on the subscales were estimated in 552 participants. Strength, closeness and betweenness of nodes were calculated to measure the centrality.Results: Network analyses revealed a pattern connecting alexithymia with empathy and schizotypy. Negative connections between empathy and physical/social anhedonia and positive edges linking alexithymia with empathy and social anhedonia were observed.Conclusions: Network constructed in the study demonstrated alexithymia’s role in empathic deficits. Our findings highlighted the connections between components of empathy, alexithymia and schizotypy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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