Impaired categorical perception of emotional facial expressions in alexithymia
Bibliographic record
Abstract
Alexithymia is characterized by low awareness of one’s own emotions and by an externally-oriented thinking. It has been linked to social impairments, notably with lower abilities to decode emotional facial expressions (EFE). However, it remained unclear whether alexithymia is associated with a deficit for subtle (i.e., expressed at low intensities) emotions. Forty participants completed the 20-item Toronto Alexithymia Scale and an emotional morphing paradigm which displayed morphed emotions along continua between neutral and full-blown emotions (anger, fear, sadness, disgust, and happiness). Main results showed that high levels of alexithymia, and more particularly externally-oriented thinking, were associated with increased identification threshold for fearful expressions and impaired recognition of low-intensity fearful faces. This study thus supports that alexithymia is characterized by an underestimation of fearful expressions and by altered identification of subtle EFE, which are the most frequently experiences in real-life situations.
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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 | 0.000 |
| 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) | 0.002 | 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".