Are increasing levels of alexithymia accompanied by poorer embodied social processing?
Bibliographic record
Abstract
To date, much research on the idea that alexithymia is underpinned by a deficit in embodiment has looked to the relationship between alexithymia and measures of interoception. Few studies have looked at the relationship between levels of alexithymia and embodied social processing as a means of assessing whether there’s a deficit in embodiment in this personality construct. To this end, a sample of university students (n = 52) was administered the 20-item Toronto Alexithymia Scale, the Interoceptive Accuracy Scale and a level-2 visuospatial perspective taking task (a social cognitive task generally requiring embodied transformations). Multiple regression analyses showed that higher TAS-20 scores resulted in decreased performance in the visuospatial perspective taking task. Thus, statistically significant evidence was provided for the hypothesised poorer embodiment that would accompany higher levels of alexithymia. Replications of this study may opt to use a control-matched clinically alexithymic sample to better answer the research question.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".