The Role of Cultural Capital in Self-Reported Alexithymia and Empathy
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
BACKGROUND: Sociocultural factors play an essential role in the way we process and express emotions. In this study, we asked whether Cultural Capital (CC)-the set of knowledge, cultural codes, and skills embodied by people-explains individual differences in two constructs measuring the capacity to understand our own emotions (alexithymia) or others' emotions (empathy). METHOD: A pre-registered survey was conducted with an Italian sample (N = 475). Alexithymia and empathy were assessed respectively via the Toronto Alexithymia Scale and the Interpersonal Reactivity Index. RESULTS: Regression analyses confirmed a significant, although limited, role of CC in predicting alexithymia and empathy. People with higher CC showed lower Externally Oriented Thinking, higher Perspective Taking, and higher Fantasy. Self-reported alexithymia and empathy were also impacted by scores on a social desirability scale. CONCLUSIONS: These results suggest that i) Cultural Capital influences the ability to analyse one's own feelings and understand others' perspectives, and ii) social desirability threatens the validity of self-report measures of emotional abilities. Overall, this research underlines the importance of studying affective processes by considering an individual's cultural context.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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